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diff --git a/examples/Data/Validation_Dreyer_BulkSurface.npz b/examples/Data/Validation_Dreyer_BulkSurface.npz
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diff --git a/examples/Figures/Charge_Capacity_Compressibility.pdf b/examples/Figures/Charge_Capacity_Compressibility.pdf
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diff --git a/examples/Figures/Charge_Capacity_Molarity.pdf b/examples/Figures/Charge_Capacity_Molarity.pdf
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diff --git a/examples/Figures/ComparisonNernstPlanck/Convergence_L2error.pdf b/examples/Figures/ComparisonNernstPlanck/Convergence_L2error.pdf
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diff --git a/examples/Figures/Compressibility.pdf b/examples/Figures/Compressibility.pdf
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diff --git a/examples/Figures/ElectrolyticDiode_Domain.pdf b/examples/Figures/ElectrolyticDiode_Domain.pdf
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diff --git a/examples/Figures/ElectrolyticDiode_Results.pdf b/examples/Figures/ElectrolyticDiode_Results.pdf
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diff --git a/examples/Figures/ManyConstituentMixture.pdf b/examples/Figures/ManyConstituentMixture.pdf
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diff --git a/examples/Figures/ParameterAnalysis/fractions.pdf b/examples/Figures/ParameterAnalysis/fractions.pdf
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diff --git a/examples/Figures/ParameterAnalysis/fractions_at_electrode.pdf b/examples/Figures/ParameterAnalysis/fractions_at_electrode.pdf
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diff --git a/examples/Figures/ParameterAnalysis/pressure.pdf b/examples/Figures/ParameterAnalysis/pressure.pdf
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diff --git a/examples/Figures/ParameterAnalysis/scaled_potential.pdf b/examples/Figures/ParameterAnalysis/scaled_potential.pdf
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diff --git a/examples/Figures/Solvation.pdf b/examples/Figures/Solvation.pdf
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diff --git a/examples/Figures/TernaryElectrolyte.pdf b/examples/Figures/TernaryElectrolyte.pdf
index d8bf1ba3e34c822edb9bdb7a3d24b0bdf5868de5..861a152b59b255868362ac0d621fd58b9c58fd6e 100644
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diff --git a/examples/Figures/ValidationDreyerPaper.pdf b/examples/Figures/ValidationDreyerPaper.pdf
index 729208a5dc917e53302233c20a4690abfaa00d31..df627261268900e71348b0dc73ba2dc6f581bc1f 100644
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diff --git a/examples/ReproducableCode/ValidationDreyer.py b/examples/ReproducableCode/ValidationDreyer.py
index 57dcdb1be1c62f7c7e2370ad20928138acb34266..98e464dde111f2a1cb4a2c06d3812a30b04200a7 100644
--- a/examples/ReproducableCode/ValidationDreyer.py
+++ b/examples/ReproducableCode/ValidationDreyer.py
@@ -15,6 +15,7 @@ src_path = os.path.join(os.path.dirname(os.path.abspath(__file__)), '../..', 'sr
 sys.path.insert(0, src_path)
 
 from Eq04 import solve_System_4eq
+from Eq02 import solve_System_2eq
 
 # Remove the src directory from sys.path after import
 del sys.path[0]
@@ -51,34 +52,26 @@ phi_L_dimless, phi_R_dimless
 # Parameters
 K = 'incompressible'
 Lambda2 = (k*T*epsilon0*(1+chi))/(e0**2 * nR_m * (L_ref)**2)
-a2 = (p_ref)/(nR_m * k * T)
+a2 = (p_ref)/(nR_m * k * T) # 0.0007486770882915494
 Lambda2, a2 # values not sure, as T, chi and L_ref not given in Dreyer paper
 # ! Lambda2 would be: 8.491106981682818e-06 with these parameter
 # Let's try out smaller values to reproduce the results from the Dreyer paper
-Lambda2 = 3.4e-6
+# Lambda2 = 3.4e-6
+Lambda2 = 2.4e-6
+a2 = 0.00075 # 0.0007
 # Lambda2 = Lambda2 * 1e-1
 
 # Solver parameters
-# ! Refine for PB
-number_cells = 1028# ! *32
+number_cells = 1024
 # number_cells_PB = number_cells*16
 relax_param = 0.005
 refinement_style = 'log'
 max_iter = 100_000
 return_type = 'Vector'
-rtol = 1e-7
+rtol = 1e-8
 
 
 y_A_dimless, y_C_dimless, y_S_dimless, phi_dimless, p_dimless, x_dimless = [], [], [], [], [], []
-# ! Uncomment
-# y_A_, y_C_, phi_, p_, x_ = solve_System_4eq(phi_L_dimless, phi_R_dimless, pR, z_A, z_C, y_A_R, y_C_R, K, Lambda2, a2, number_cells, solvation=0, PoissonBoltzmann=True, relax_param=relax_param, refinement_style='log', return_type=return_type, max_iter=max_iter, rtol=rtol)
-# y_A_dimless.append(y_A_)
-# y_C_dimless.append(y_C_)
-# y_S_dimless.append(1 - y_A_ - y_C_)
-# phi_dimless.append(phi_)
-# p_dimless.append(p_)
-# x_dimless.append(x_)
-
 y_A_, y_C_, phi_, p_, x_ = solve_System_4eq(phi_L_dimless, phi_R_dimless, pR, z_A, z_C, y_A_R, y_C_R, K, Lambda2, a2, number_cells=number_cells, solvation=0, PoissonBoltzmann=False, relax_param=relax_param, refinement_style=refinement_style, return_type=return_type, max_iter=max_iter, rtol=rtol)
 y_A_dimless.append(y_A_)
 y_C_dimless.append(y_C_)
@@ -95,6 +88,17 @@ phi_dimless.append(phi_)
 p_dimless.append(p_)
 x_dimless.append(x_)
 
+# ? Additional issue from NP -> very bad convergence
+# Apply extra refinement because of bad convergence, but use larger relaxation parameter due to the simplified system to two equations
+# Use only system of 2 equations to get better convergence
+y_A_, y_C_, phi_, p_, x_ = solve_System_2eq(phi_L_dimless, phi_R_dimless, pR, z_A, z_C, y_A_R, y_C_R, K, Lambda2, a2, number_cells, solvation=0, PoissonBoltzmann=True, relax_param=0.7, refinement_style='hard_hard_log', return_type=return_type, max_iter=max_iter, rtol=rtol)
+y_A_dimless.append(y_A_)
+y_C_dimless.append(y_C_)
+y_S_dimless.append(1 - y_A_ - y_C_)
+phi_dimless.append(phi_)
+p_dimless.append(p_)
+x_dimless.append(x_)
+
 # Rescale to physical values
 y_A_dimless, y_C_dimless, y_S_dimless, phi_dimless, p_dimless, x_dimless = np.array(y_A_dimless), np.array(y_C_dimless), np.array(y_S_dimless), np.array(phi_dimless), np.array(p_dimless), np.array(x_dimless)
 phi_dim = phi_dimless * k * T / e0
diff --git a/examples/Visualizations/VisAll.ipynb b/examples/Visualizations/VisAll.ipynb
index 972643f4168a6268240c1b93eab604f20242c041..7efea958f96625a6a6a048efde7499620c8bfd05 100644
--- a/examples/Visualizations/VisAll.ipynb
+++ b/examples/Visualizations/VisAll.ipynb
@@ -2,12 +2,13 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 121,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
     "# imports\n",
     "import numpy as np \n",
+    "import json\n",
     "import matplotlib as mpl\n",
     "import matplotlib.pyplot as plt\n",
     "import matplotlib.gridspec as gridspec\n",
@@ -17,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 122,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -50,7 +51,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 123,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,7 +82,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 124,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -108,7 +109,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 125,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -140,7 +141,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 126,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -162,7 +163,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 127,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -192,9 +193,107 @@
     "# Validation with Dreyer"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### V2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Load the JSON data\n",
+    "file_path = '../Data/ValidDreyer.json'  # Update this path if needed\n",
+    "with open(file_path, 'r') as file:\n",
+    "    data = json.load(file)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Extract the data and store it in a dictionary\n",
+    "data_Dreyer = {}\n",
+    "for data_point in data['datasetColl']:\n",
+    "    x, y = [], []\n",
+    "    for i in range(len(data_point['data'])):\n",
+    "        x.append(data_point['data'][i]['value'][0])\n",
+    "        y.append(data_point['data'][i]['value'][1])\n",
+    "    data_Dreyer[data_point['name']] = (np.array(x), np.array(y))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plt.plot(data_Dreyer['Solvated Anions'][0], data_Dreyer['Solvated Anions'][1], label='Solvatetd Anions')\n",
+    "# plt.plot(data_Dreyer['Ideal Anions'][0], data_Dreyer['Ideal Anions'][1], label='Ideal Anions')\n",
+    "# plt.plot(data_Dreyer['PB-Anions'][0], data_Dreyer['PB-Anions'][1], label='PB Anions')\n",
+    "# plt.legend()\n",
+    "# plt.ylim(0,60)\n",
+    "# plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plt.plot(data_Dreyer['Solvated Cations'][0], data_Dreyer['Solvated Cations'][1], label='Solvatetd Cations')\n",
+    "# plt.plot(data_Dreyer['Ideal Cations'][0], data_Dreyer['Ideal Cations'][1], label='Ideal Cations')\n",
+    "# plt.plot(data_Dreyer['PB-Cations'][0][:-1], data_Dreyer['PB-Cations'][1][:-1], label='PB Cations')\n",
+    "# plt.legend()\n",
+    "# plt.ylim(0,0.555)\n",
+    "# plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plt.plot(data_Dreyer['Solvated Potential'][0], data_Dreyer['Solvated Potential'][1], label='Solvatetd Potential')\n",
+    "# plt.plot(data_Dreyer['Ideal Potential'][0], data_Dreyer['Ideal Potential'][1], label='Ideal Potential')\n",
+    "# plt.plot(data_Dreyer['PB-Potential'][0][:-1], data_Dreyer['PB-Potential'][1][:-1], label='PB Potential')\n",
+    "# plt.legend()\n",
+    "# plt.ylim(0,0.65)\n",
+    "# plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plt.plot(data_Dreyer['Solvated Pressure'][0], data_Dreyer['Solvated Pressure'][1], label='Solvatetd Pressure')\n",
+    "# plt.plot(data_Dreyer['Ideal Pressure'][0], data_Dreyer['Ideal Pressure'][1], label='Ideal Pressure')\n",
+    "# plt.plot(data_Dreyer['PB-Pressure'][0][:-1], data_Dreyer['PB-Pressure'][1][:-1], label='PB Pressure')\n",
+    "# plt.legend()\n",
+    "# plt.ylim(0,2600)\n",
+    "# plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### V1"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 128,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -213,7 +312,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 129,
+   "execution_count": 46,
    "metadata": {},
    "outputs": [
     {
@@ -224,19 +323,19 @@
       "<>:3: SyntaxWarning: invalid escape sequence '\\k'\n",
       "<>:3: SyntaxWarning: invalid escape sequence '\\k'\n",
       "<>:3: SyntaxWarning: invalid escape sequence '\\k'\n",
-      "/tmp/ipykernel_19516/2125927580.py:3: SyntaxWarning: invalid escape sequence '\\k'\n",
-      "  labels = ['ideal mixture, $\\kappa = 0$', 'solvated ions, $\\kappa = 8$']\n",
-      "/tmp/ipykernel_19516/2125927580.py:3: SyntaxWarning: invalid escape sequence '\\k'\n",
-      "  labels = ['ideal mixture, $\\kappa = 0$', 'solvated ions, $\\kappa = 8$']\n",
-      "/tmp/ipykernel_19516/2125927580.py:32: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
+      "/tmp/ipykernel_9270/2525294913.py:3: SyntaxWarning: invalid escape sequence '\\k'\n",
+      "  labels = ['ideal mixture, $\\kappa = 0$', 'solvated ions, $\\kappa = 8$', 'Nernst-Planck']\n",
+      "/tmp/ipykernel_9270/2525294913.py:3: SyntaxWarning: invalid escape sequence '\\k'\n",
+      "  labels = ['ideal mixture, $\\kappa = 0$', 'solvated ions, $\\kappa = 8$', 'Nernst-Planck']\n",
+      "/tmp/ipykernel_9270/2525294913.py:52: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
       "  fig.tight_layout()\n",
-      "/tmp/ipykernel_19516/2125927580.py:34: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/2525294913.py:54: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1062x442.5 with 4 Axes>"
       ]
@@ -248,7 +347,7 @@
    "source": [
     "scale_x = 1e-9\n",
     "ticks_x = ticker.FuncFormatter(lambda x, pos: '{0:g}'.format(x/scale_x))\n",
-    "labels = ['ideal mixture, $\\kappa = 0$', 'solvated ions, $\\kappa = 8$']\n",
+    "labels = ['ideal mixture, $\\kappa = 0$', 'solvated ions, $\\kappa = 8$', 'Nernst-Planck']\n",
     "\n",
     "fig, ax1, ax2 = get_gridspec_setup_2rows(figsize=(3.54*3, 3.54*5/4))\n",
     "\n",
@@ -258,12 +357,30 @@
     "\n",
     "axs = [ax1, a_n_C, ax2, a_p]\n",
     "\n",
-    "for i in range(2):\n",
+    "for i in range(3):\n",
     "    axs[0].plot(x_dreyer[i], n_A_dreyer[i], color=color_y_A, linestyle=markers[i])\n",
     "    axs[1].plot(x_dreyer[i], n_C_dreyer[i], color=color_y_C, linestyle=markers[i])\n",
     "    axs[2].plot(x_dreyer[i], phi_dreyer[i], color=color_default, linestyle=markers[i], label=labels[i])\n",
     "    axs[3].plot(x_dreyer[i], p_dreyer_MP[i], color=color_default, linestyle=markers[i])\n",
     "\n",
+    "color_Dreyer = 'tab:red'\n",
+    "marker_Dreyer_Solvated = \"2\"\n",
+    "marker_Dreyer_Ideal = \"1\"\n",
+    "marker_Dreyer_PB = \"3\"\n",
+    "skip_Dreyer = 8\n",
+    "axs[0].scatter(data_Dreyer['Solvated Anions'][0][::skip_Dreyer]*1e-9, data_Dreyer['Solvated Anions'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_Solvated)\n",
+    "axs[0].scatter(data_Dreyer['Ideal Anions'][0][::skip_Dreyer]*1e-9, data_Dreyer['Ideal Anions'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_Ideal)\n",
+    "axs[0].scatter(data_Dreyer['PB-Anions'][0][::skip_Dreyer]*1e-9, data_Dreyer['PB-Anions'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_PB)\n",
+    "axs[1].scatter(data_Dreyer['Solvated Cations'][0][::skip_Dreyer]*1e-9, data_Dreyer['Solvated Cations'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_Solvated)\n",
+    "axs[1].scatter(data_Dreyer['Ideal Cations'][0][::skip_Dreyer]*1e-9, data_Dreyer['Ideal Cations'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_Ideal)\n",
+    "axs[1].scatter(data_Dreyer['PB-Cations'][0][::skip_Dreyer]*1e-9, data_Dreyer['PB-Cations'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_PB)\n",
+    "axs[2].scatter(data_Dreyer['Solvated Potential'][0][::skip_Dreyer]*1e-9, data_Dreyer['Solvated Potential'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_Solvated)\n",
+    "axs[2].scatter(data_Dreyer['Ideal Potential'][0][::skip_Dreyer]*1e-9, data_Dreyer['Ideal Potential'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_Ideal)\n",
+    "axs[2].scatter(data_Dreyer['PB-Potential'][0][::skip_Dreyer]*1e-9, data_Dreyer['PB-Potential'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_PB)\n",
+    "axs[3].scatter(data_Dreyer['Solvated Pressure'][0][::skip_Dreyer]*1e-9, data_Dreyer['Solvated Pressure'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_Solvated)\n",
+    "axs[3].scatter(data_Dreyer['Ideal Pressure'][0][::skip_Dreyer]*1e-9, data_Dreyer['Ideal Pressure'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_Ideal)\n",
+    "axs[3].scatter(data_Dreyer['PB-Pressure'][0][::skip_Dreyer]*1e-9, data_Dreyer['PB-Pressure'][1][::skip_Dreyer], color=color_Dreyer, marker=marker_Dreyer_PB)\n",
+    "\n",
     "[ax.set_xlabel('x [nm]') for ax in axs]\n",
     "axs[0].set_ylabel('$n_A$ [Mol/L]')\n",
     "axs[1].set_ylabel('$n_C$ [Mol/L]')\n",
@@ -275,6 +392,8 @@
     "axs[3].set_xlim(0,0.9*scale_x)\n",
     "# axs[3].set_ylim(0, np.max(p_dreyer[1])*1.1)\n",
     "[ax.xaxis.set_major_formatter(ticks_x) for ax in axs]\n",
+    "axs[0].set_ylim(0,60)\n",
+    "axs[3].set_ylim(0,2750)\n",
     "\n",
     "fig.legend(loc='upper center', ncol=3, bbox_to_anchor=(0.52, 1.05))\n",
     "fig.tight_layout()\n",
@@ -291,7 +410,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 130,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -312,14 +431,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 131,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_19516/1927661803.py:13: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/1927661803.py:13: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -359,7 +478,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 132,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -380,7 +499,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 133,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -391,11 +510,11 @@
       "<>:15: SyntaxWarning: invalid escape sequence '\\d'\n",
       "<>:13: SyntaxWarning: invalid escape sequence '\\l'\n",
       "<>:15: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "/tmp/ipykernel_19516/2163158467.py:13: SyntaxWarning: invalid escape sequence '\\l'\n",
+      "/tmp/ipykernel_9270/2163158467.py:13: SyntaxWarning: invalid escape sequence '\\l'\n",
       "  dummy, = axs[0].plot([], [], linestyle=markers[j], color=color_default, label=f'$\\lambda^2$ = {Lambda2}')\n",
-      "/tmp/ipykernel_19516/2163158467.py:15: SyntaxWarning: invalid escape sequence '\\d'\n",
+      "/tmp/ipykernel_9270/2163158467.py:15: SyntaxWarning: invalid escape sequence '\\d'\n",
       "  [ax.set_ylabel(f'$\\\\varphi$ [-] ,$\\delta \\\\varphi = {phi_left_vec_ParamAna[i]}$') for i, ax in enumerate(axs)]\n",
-      "/tmp/ipykernel_19516/2163158467.py:19: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/2163158467.py:19: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -434,7 +553,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 134,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -445,11 +564,11 @@
       "<>:11: SyntaxWarning: invalid escape sequence '\\d'\n",
       "<>:9: SyntaxWarning: invalid escape sequence '\\l'\n",
       "<>:11: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "/tmp/ipykernel_19516/1383548540.py:9: SyntaxWarning: invalid escape sequence '\\l'\n",
+      "/tmp/ipykernel_9270/1383548540.py:9: SyntaxWarning: invalid escape sequence '\\l'\n",
       "  dummy, = axs[0].plot([], [], linestyle=markers[j], color=color_default, label=f'$\\lambda^2$ = {Lambda2}')\n",
-      "/tmp/ipykernel_19516/1383548540.py:11: SyntaxWarning: invalid escape sequence '\\d'\n",
+      "/tmp/ipykernel_9270/1383548540.py:11: SyntaxWarning: invalid escape sequence '\\d'\n",
       "  [ax.set_ylabel(f'p [-] ,$\\delta \\\\varphi = {phi_left_vec_ParamAna[i]}$') for i, ax in enumerate(axs)]\n",
-      "/tmp/ipykernel_19516/1383548540.py:15: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/1383548540.py:15: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -484,7 +603,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 135,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -495,11 +614,11 @@
       "<>:16: SyntaxWarning: invalid escape sequence '\\d'\n",
       "<>:12: SyntaxWarning: invalid escape sequence '\\l'\n",
       "<>:16: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "/tmp/ipykernel_19516/2955500639.py:12: SyntaxWarning: invalid escape sequence '\\l'\n",
+      "/tmp/ipykernel_9270/2955500639.py:12: SyntaxWarning: invalid escape sequence '\\l'\n",
       "  dummy, = axs[0].plot([], [], linestyle=markers[j], color=color_default, label=f'$\\lambda^2$ = {Lambda2}')\n",
-      "/tmp/ipykernel_19516/2955500639.py:16: SyntaxWarning: invalid escape sequence '\\d'\n",
+      "/tmp/ipykernel_9270/2955500639.py:16: SyntaxWarning: invalid escape sequence '\\d'\n",
       "  [ax.set_ylabel(f'$y_\\\\alpha$ [-] ,$\\delta \\\\varphi = {phi_left_vec_ParamAna[i]}$') for i, ax in enumerate(axs)]\n",
-      "/tmp/ipykernel_19516/2955500639.py:24: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/2955500639.py:24: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -550,7 +669,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 136,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -565,7 +684,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 137,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -576,11 +695,11 @@
       "<>:7: SyntaxWarning: invalid escape sequence '\\d'\n",
       "<>:3: SyntaxWarning: invalid escape sequence '\\d'\n",
       "<>:7: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "/tmp/ipykernel_19516/1577916320.py:3: SyntaxWarning: invalid escape sequence '\\d'\n",
+      "/tmp/ipykernel_9270/1577916320.py:3: SyntaxWarning: invalid escape sequence '\\d'\n",
       "  ax1.plot(x_scale_phi[i], phi_scale_phi[i], linestyle=markers[i], color=color_default, label=f'$\\delta \\\\varphi = {phi_left}$')\n",
-      "/tmp/ipykernel_19516/1577916320.py:7: SyntaxWarning: invalid escape sequence '\\d'\n",
+      "/tmp/ipykernel_9270/1577916320.py:7: SyntaxWarning: invalid escape sequence '\\d'\n",
       "  ax2.set_ylabel('$\\\\varphi/\\delta \\\\varphi$ [-]')\n",
-      "/tmp/ipykernel_19516/1577916320.py:11: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/1577916320.py:11: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -618,7 +737,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 138,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -633,24 +752,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 139,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "<>:5: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "<>:5: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "/tmp/ipykernel_19516/1124788098.py:5: SyntaxWarning: invalid escape sequence '\\d'\n",
+      "<>:4: SyntaxWarning: invalid escape sequence '\\d'\n",
+      "<>:4: SyntaxWarning: invalid escape sequence '\\d'\n",
+      "/tmp/ipykernel_9270/2540293114.py:4: SyntaxWarning: invalid escape sequence '\\d'\n",
       "  axs.set_xlabel('$\\delta \\\\varphi$ [-]')\n",
-      "/tmp/ipykernel_19516/1124788098.py:12: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/2540293114.py:11: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig_fractions_electrode.show()\n"
      ]
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 531x354 with 1 Axes>"
       ]
@@ -663,7 +782,6 @@
     "fig_fractions_electrode, axs = plt.subplots(1, 1, figsize=(3.54*3/2, 3.54))\n",
     "for property_, color_, label_ in zip([y_A_fractions_electrode, y_C_fractions_electrode, y_S_fractions_electrode], [color_y_A, color_y_C, color_y_S], ['$y_A$', '$y_C$', '$y_S$']):\n",
     "    axs.plot(phi_left_vector_fractions_electrode, property_[:,0], linestyle=marker_default, color=color_, label=label_)\n",
-    "axs.grid()\n",
     "axs.set_xlabel('$\\delta \\\\varphi$ [-]')\n",
     "axs.set_ylabel('$y_\\\\alpha^L$ [-]')\n",
     "axs.tick_params(axis='both')\n",
@@ -685,7 +803,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 140,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -730,14 +848,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 141,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_19516/3805608350.py:29: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/3805608350.py:29: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -786,14 +904,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 142,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_19516/1871913435.py:38: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/1871913435.py:38: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -858,7 +976,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 143,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -886,7 +1004,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 144,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -897,15 +1015,15 @@
       "<>:10: SyntaxWarning: invalid escape sequence '\\d'\n",
       "<>:9: SyntaxWarning: invalid escape sequence '\\d'\n",
       "<>:10: SyntaxWarning: invalid escape sequence '\\d'\n",
-      "/tmp/ipykernel_19516/3010395513.py:9: SyntaxWarning: invalid escape sequence '\\d'\n",
+      "/tmp/ipykernel_9270/3010395513.py:9: SyntaxWarning: invalid escape sequence '\\d'\n",
       "  axs.set_xlabel('$\\delta \\\\varphi [-]$')\n",
-      "/tmp/ipykernel_19516/3010395513.py:10: SyntaxWarning: invalid escape sequence '\\d'\n",
+      "/tmp/ipykernel_9270/3010395513.py:10: SyntaxWarning: invalid escape sequence '\\d'\n",
       "  axs_twiny.set_xlabel('$\\delta \\\\varphi [V]$')\n",
-      "/tmp/ipykernel_19516/3010395513.py:4: UserWarning: linestyle is redundantly defined by the 'linestyle' keyword argument and the fmt string \"o-\" (-> linestyle='-'). The keyword argument will take precedence.\n",
+      "/tmp/ipykernel_9270/3010395513.py:4: UserWarning: linestyle is redundantly defined by the 'linestyle' keyword argument and the fmt string \"o-\" (-> linestyle='-'). The keyword argument will take precedence.\n",
       "  axs.semilogy(phi_left_vec_NP, property_, 'o-', label=label_, color=color_, linestyle=marker_default)\n",
-      "/tmp/ipykernel_19516/3010395513.py:7: UserWarning: linestyle is redundantly defined by the 'linestyle' keyword argument and the fmt string \"o-\" (-> linestyle='-'). The keyword argument will take precedence.\n",
+      "/tmp/ipykernel_9270/3010395513.py:7: UserWarning: linestyle is redundantly defined by the 'linestyle' keyword argument and the fmt string \"o-\" (-> linestyle='-'). The keyword argument will take precedence.\n",
       "  axs_twiny.semilogy(phi_left_vec_physical_NP, property_, 'o-', color=color_, linestyle=marker_default)\n",
-      "/tmp/ipykernel_19516/3010395513.py:21: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/3010395513.py:21: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig_L2_NP.show()\n"
      ]
     },
@@ -953,7 +1071,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 145,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -971,7 +1089,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 146,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -980,9 +1098,9 @@
      "text": [
       "<>:5: SyntaxWarning: invalid escape sequence '\\k'\n",
       "<>:5: SyntaxWarning: invalid escape sequence '\\k'\n",
-      "/tmp/ipykernel_19516/4012766359.py:5: SyntaxWarning: invalid escape sequence '\\k'\n",
+      "/tmp/ipykernel_9270/4012766359.py:5: SyntaxWarning: invalid escape sequence '\\k'\n",
       "  axs[0].plot(x_solvation[i], phi_solvation[i], linestyle=markers[i], color=color_default, label=f'$\\kappa = {Solvation}$')\n",
-      "/tmp/ipykernel_19516/4012766359.py:29: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/4012766359.py:29: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -1038,7 +1156,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 147,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1057,16 +1175,16 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 148,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_19516/2849978892.py:43: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
+      "/tmp/ipykernel_9270/2849978892.py:43: UserWarning: This figure includes Axes that are not compatible with tight_layout, so results might be incorrect.\n",
       "  fig.tight_layout()\n",
-      "/tmp/ipykernel_19516/2849978892.py:45: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/2849978892.py:45: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -1140,7 +1258,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 149,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1164,14 +1282,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 150,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_19516/3441503177.py:20: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/3441503177.py:20: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -1218,7 +1336,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 151,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1233,7 +1351,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 152,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [
     {
@@ -1242,9 +1360,9 @@
      "text": [
       "<>:3: SyntaxWarning: invalid escape sequence '\\l'\n",
       "<>:3: SyntaxWarning: invalid escape sequence '\\l'\n",
-      "/tmp/ipykernel_19516/3933032517.py:3: SyntaxWarning: invalid escape sequence '\\l'\n",
+      "/tmp/ipykernel_9270/3933032517.py:3: SyntaxWarning: invalid escape sequence '\\l'\n",
       "  ax1.plot(Phi_Pot_DL_Lambda2, q_dl, linestyle=markers[i], color=color_default, label=f'$\\lambda^2$: {Lambda2_DL_Lambda2[i]}')\n",
-      "/tmp/ipykernel_19516/3933032517.py:14: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/3933032517.py:14: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -1285,7 +1403,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 153,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1300,14 +1418,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 154,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_19516/2021004357.py:18: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/2021004357.py:18: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -1352,7 +1470,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 155,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1379,14 +1497,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 156,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "/tmp/ipykernel_19516/2840497311.py:15: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/2840497311.py:15: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
@@ -1435,7 +1553,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 157,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
@@ -1534,7 +1652,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 158,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1561,7 +1679,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 161,
+   "execution_count": 45,
    "metadata": {},
    "outputs": [
     {
@@ -1570,9 +1688,9 @@
      "text": [
       "<>:21: SyntaxWarning: invalid escape sequence '\\i'\n",
       "<>:21: SyntaxWarning: invalid escape sequence '\\i'\n",
-      "/tmp/ipykernel_19516/631860210.py:21: SyntaxWarning: invalid escape sequence '\\i'\n",
+      "/tmp/ipykernel_9270/631860210.py:21: SyntaxWarning: invalid escape sequence '\\i'\n",
       "  ax[property_counter_].set_title(f'{properties_Diode_title[property_counter_]} $\\in ({round(np.min(property[bias_]),2)},{round(np.max(property[bias_]), 2)})$[-]')\n",
-      "/tmp/ipykernel_19516/631860210.py:30: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
+      "/tmp/ipykernel_9270/631860210.py:30: UserWarning: FigureCanvasAgg is non-interactive, and thus cannot be shown\n",
       "  fig.show()\n"
      ]
     },
diff --git a/src/Eq02.py b/src/Eq02.py
index 0ec56e7491732d7519b83f8a79fdd3ffc8a34bcf..86d08e9d0f2dab551236a90df42be9093e5db313 100644
--- a/src/Eq02.py
+++ b/src/Eq02.py
@@ -53,7 +53,7 @@ def create_refined_mesh(refinement_style:str, number_cells:int) -> Mesh:
     msh = mesh.create_mesh(MPI.COMM_WORLD, cells_np, coordinates_np_, domain)
     return msh
 
-def solve_System_2eq(phi_left:float, phi_right:float, p_right:float, z_A:float, z_C:float, y_A_R:float, y_C_R:float, K:float|str, Lambda2:float, a2:float, number_cells:int, solvation:float = 0, relax_param:float=None, x0:float=0, x1:float=1, refinement_style:str='uniform', return_type:str='Scalar', rtol:float=1e-8, max_iter:float=500):
+def solve_System_2eq(phi_left:float, phi_right:float, p_right:float, z_A:float, z_C:float, y_A_R:float, y_C_R:float, K:float|str, Lambda2:float, a2:float, number_cells:int, solvation:float = 0, PoissonBoltzmann:bool=False, relax_param:float=None, x0:float=0, x1:float=1, refinement_style:str='uniform', return_type:str='Scalar', rtol:float=1e-8, max_iter:float=500):
     '''
     Solve the simplified dimensionless system of equations presented in: Numerical Treatment of a Thermodynamically Consistent Electrolyte Model, B.Sc. Thesis Habscheid 2024
 
@@ -101,6 +101,8 @@ def solve_System_2eq(phi_left:float, phi_right:float, p_right:float, z_A:float,
         Number of cells in the mesh
     solvation : float, optional
         solvation number, by default 0
+    PoissonBoltzmann : bool, optional
+        Solve classical Nernst-Planck model with the use of the Poisson-Boltzmann formulation if True, else solve the presented model by Dreyer, Guhlke, Müller, by default False
     relax_param : float, optional
         Relaxation parameter for the Newton solver
         xₙ₊₁ = γ xₙ f(xₙ)/f'(xₙ) with γ the relaxation parameter
@@ -191,12 +193,20 @@ def solve_System_2eq(phi_left:float, phi_right:float, p_right:float, z_A:float,
     bcs = [bc_left_phi, bc_right_phi, bc_right_p]
 
     def y_A(phi, p):
-        D_A = y_A_R / exp(-(solvation + 1) * a2 * p_right - z_A * phi_right)
-        return D_A * exp(-(solvation + 1) * a2 * p - z_A * phi)
+        if PoissonBoltzmann == False:
+            D_A = y_A_R / exp(-(solvation + 1) * a2 * p_right - z_A * phi_right)
+            return D_A * exp(-(solvation + 1) * a2 * p - z_A * phi)
+        elif PoissonBoltzmann == True:
+            D_A = y_A_R / exp(- z_A * phi_right)
+            return D_A * exp(- z_A * phi)
     
     def y_C(phi, p):
-        D_C = y_C_R / exp(-(solvation + 1) * a2 * p_right - z_C * phi_right)
-        return D_C * exp(-(solvation + 1) * a2 * p - z_C * phi)
+        if PoissonBoltzmann == False:
+            D_C = y_C_R / exp(-(solvation + 1) * a2 * - z_C * phi_right)
+            return D_C * exp(-(solvation + 1) * a2 * p - z_C * phi)
+        elif PoissonBoltzmann == True:
+            D_C = y_C_R / exp(- z_C * phi_right)
+            return D_C * exp(- z_C * phi)
     
 
     # Define variational problem
@@ -260,6 +270,12 @@ def solve_System_2eq(phi_left:float, phi_right:float, p_right:float, z_A:float,
     
         D_C = y_C_R / np.exp(-(solvation + 1) * a2 * p_right - z_C * phi_right)
         y_C_vals = D_C * np.exp(-(solvation + 1) * a2 * p_vals - z_C * phi_vals)
+
+        if PoissonBoltzmann:
+            D_A = y_A_R / np.exp(- z_A * phi_right)
+            y_A_vals = D_A * np.exp(- z_A * phi_vals)
+            D_C = y_C_R / np.exp(- z_C * phi_right)
+            y_C_vals = D_C * np.exp(- z_C * phi_vals)
         
         return y_A_vals, y_C_vals, phi_vals, p_vals, x_vals
     
diff --git a/test_.py b/test_.py
new file mode 100644
index 0000000000000000000000000000000000000000..36bb1e0c403e0ccb623857adb520edd824d76dbf
--- /dev/null
+++ b/test_.py
@@ -0,0 +1,40 @@
+''' 
+Tests the Eq02 implementation in src.Eq02.py
+'''
+
+from src.Eq02 import solve_System_2eq
+import numpy as np
+
+# Define the testing tolerance
+rtol = 1e-10
+atol = 1e-10
+
+# Define parameter to use in the test
+phi_left = 10.0
+phi_right = 0.0
+p_right = 0.0
+y_A_R = 0.01
+y_C_R = 0.01
+z_A = -1.0
+z_C = 1.0
+K = 'incompressible'
+Lambda2 = 8.553e-6
+a2 = 7.5412e-4
+solvation = 0
+number_cells = 32
+relax_param = .1
+rtol = 1e-4
+max_iter = 500
+
+y_A, y_C, phi, p, x = solve_System_2eq(phi_left, phi_right, p_right, z_A, z_C, y_A_R, y_C_R, K, Lambda2, a2, number_cells, solvation=solvation,  relax_param=relax_param, x0=0, x1=1, refinement_style='uniform', return_type='Vector', max_iter=max_iter, rtol=rtol)
+
+y_A_NP, y_C_NP, phi_NP, p_NP, x_NP = solve_System_2eq(phi_left, phi_right, p_right, z_A, z_C, y_A_R, y_C_R, K, Lambda2, a2, number_cells, solvation=solvation,  relax_param=relax_param, PoissonBoltzmann=True, x0=0, x1=1, refinement_style='uniform', return_type='Vector', max_iter=max_iter, rtol=rtol)
+
+solvation = 5
+y_A_solvation, y_C_solvation, phi_solvation, p_solvation, x_solvation = solve_System_2eq(phi_left, phi_right, p_right, z_A, z_C, y_A_R, y_C_R, K, Lambda2, a2, number_cells, solvation=solvation,  relax_param=relax_param, x0=0, x1=1, refinement_style='log', return_type='Vector', max_iter=max_iter, rtol=rtol)
+
+solvation = 0
+K = 5_000
+y_A_compressible, y_C_compressible, phi_compressible, p_compressible, x_compressible = solve_System_2eq(phi_left, phi_right, p_right, z_A, z_C, y_A_R, y_C_R, K, Lambda2, a2, number_cells, solvation=solvation,  relax_param=relax_param, x0=0, x1=1, refinement_style='hard_log', return_type='Vector', max_iter=max_iter, rtol=rtol)
+
+np.savez('tests/TestData/Eq02.npz', y_A=y_A, y_C=y_C, phi=phi, p=p, x=x, y_A_NP=y_A_NP, y_C_NP=y_C_NP, phi_NP=phi_NP, p_NP=p_NP, x_NP=x_NP, y_A_solvation=y_A_solvation, y_C_solvation=y_C_solvation, phi_solvation=phi_solvation, p_solvation=p_solvation, x_solvation=x_solvation, y_A_compressible=y_A_compressible, y_C_compressible=y_C_compressible, phi_compressible=phi_compressible, p_compressible=p_compressible, x_compressible=x_compressible)
\ No newline at end of file
diff --git a/tests/TestData/Eq02.npz b/tests/TestData/Eq02.npz
index d38c6d507279705acd30f2abdbad9d7913161176..d2591b4492b225aec84d4c4f8d18240022e19e65 100644
Binary files a/tests/TestData/Eq02.npz and b/tests/TestData/Eq02.npz differ
diff --git a/tests/TestData/Eq04.npz b/tests/TestData/Eq04.npz
index 905c2bf2850e6c246cf0e70455bfb1d2934a7368..a977a3811d996c9e6c8a4570635e7bace01f60ca 100644
Binary files a/tests/TestData/Eq04.npz and b/tests/TestData/Eq04.npz differ
diff --git a/tests/test_Eq02.py b/tests/test_Eq02.py
index f55a0fc2d76844d55a84b0cbafeba0940fb52be4..88b379ca70fb4212bc048f79ca2092a4544ee7b8 100644
--- a/tests/test_Eq02.py
+++ b/tests/test_Eq02.py
@@ -49,6 +49,26 @@ def test_standard():
                         rtol=rtol, atol=atol),\
                         'p not calculated correctly'
 
+def test_NerstPlanck():
+    y_A_NP, y_C_NP, phi_NP, p_NP, x_NP = solve_System_2eq(phi_left, phi_right, p_right, z_A, z_C, y_A_R, y_C_R, K, Lambda2, a2, number_cells, solvation=solvation,  relax_param=relax_param, PoissonBoltzmann=True, x0=0, x1=1, refinement_style='uniform', return_type='Vector', max_iter=max_iter, rtol=rtol)
+
+    # test grid generation with no refinement
+    assert np.allclose(data_comparison['x_NP'], x_NP,\
+                        rtol=rtol, atol=atol),\
+                        'Uniform grid not generated correctly'
+    # test solution vector
+    assert np.allclose(data_comparison['y_A_NP'], y_A_NP,\
+                        rtol=rtol, atol=atol),\
+                        'y_A with NP not calculated correctly'
+    assert np.allclose(data_comparison['y_C_NP'], y_C_NP,\
+                        rtol=rtol, atol=atol),\
+                        'y_C with NP not calculated correctly'
+    assert np.allclose(data_comparison['phi_NP'], phi_NP,\
+                        rtol=rtol, atol=atol),\
+                        'phi with NP not calculated correctly'
+    assert np.allclose(data_comparison['p_NP'], p_NP,\
+                        rtol=rtol, atol=atol),\
+                        'p with NP not calculated correctly'
 
 def test_solvation():
     solvation = 5
diff --git a/tests/test_Eq04.py b/tests/test_Eq04.py
index 41391a8da535fab951fd24cfd22f9bec74b76c7f..7f3ea288be9de11c2c3b13453e94788a8f428bdc 100644
--- a/tests/test_Eq04.py
+++ b/tests/test_Eq04.py
@@ -48,7 +48,27 @@ def test_standard():
     assert np.allclose(data_comparison['p'], p,\
                         rtol=rtol, atol=atol),\
                         'p not calculated correctly'
+    
+def test_NerstPlanck():
+    y_A_NP, y_C_NP, phi_NP, p_NP, x_NP = solve_System_4eq(phi_left, phi_right, p_right, z_A, z_C, y_A_R, y_C_R, K, Lambda2, a2, number_cells, solvation=solvation,  relax_param=relax_param, PoissonBoltzmann=True, x0=0, x1=1, refinement_style='uniform', return_type='Vector', max_iter=max_iter, rtol=rtol)
 
+    # test grid generation with no refinement
+    assert np.allclose(data_comparison['x_NP'], x_NP,\
+                        rtol=rtol, atol=atol),\
+                        'Uniform grid not generated correctly'
+    # test solution vector
+    assert np.allclose(data_comparison['y_A_NP'], y_A_NP,\
+                        rtol=rtol, atol=atol),\
+                        'y_A with NP not calculated correctly'
+    assert np.allclose(data_comparison['y_C_NP'], y_C_NP,\
+                        rtol=rtol, atol=atol),\
+                        'y_C with NP not calculated correctly'
+    assert np.allclose(data_comparison['phi_NP'], phi_NP,\
+                        rtol=rtol, atol=atol),\
+                        'phi with NP not calculated correctly'
+    assert np.allclose(data_comparison['p_NP'], p_NP,\
+                        rtol=rtol, atol=atol),\
+                        'p with NP not calculated correctly'
 
 def test_solvation():
     solvation = 5