diff --git a/Analyze_optimization_results.ipynb b/Analyze_optimization_results.ipynb
deleted file mode 100644
index ddc3f964..00000000
--- a/Analyze_optimization_results.ipynb
+++ /dev/null
@@ -1,98 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Overview\n",
-    "\n",
-    "This notebook analyses and visualizes the results of a `optimas` optimization."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import numpy as np\n",
-    "import matplotlib.pyplot as plt\n",
-    "from optimas.post_processing import PostProcOptimization\n",
-    "%matplotlib notebook"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Modify the path below, to point to your optimization\n",
-    "pp = PostProcOptimization('./optimization_folder/test_mf_disc/')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pp.get_df()                              "
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "pp.plot_optimization()\n",
-    "t0 = np.linspace(0, pp.get_df()['returned_time'].max(), 200 )\n",
-    "pp.get_trace(plot=True, t_array=t0);"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "plt.figure()\n",
-    "pp.plot_worker_timeline( fidelity_parameter='resolution' )"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "libe_env",
-   "language": "python",
-   "name": "python3"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.9.15"
-  },
-  "vscode": {
-   "interpreter": {
-    "hash": "bfb1269c5d150bb39b3cc7af346375a5d6d04845d8cc3a7072c5122e27bb644e"
-   }
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/submission_scripts/juwels b/submission_scripts/juwels
deleted file mode 100644
index 9e8d9d06..00000000
--- a/submission_scripts/juwels
+++ /dev/null
@@ -1,26 +0,0 @@
-#!/bin/bash -x
-#SBATCH -J {name}
-#SBATCH --nodes={n_nodes}
-#SBATCH --ntasks-per-node=4
-#SBATCH --output=mpi-out.%j
-#SBATCH --error=mpi-err.%j
-#SBATCH --time={max_time}
-#SBATCH --partition=booster
-#SBATCH --account=plasmabbq
-#SBATCH --gres=gpu:4
-
-source activate optimization
-
-export NUMBA_NUM_THREADS=1
-export OMP_NUM_THREADS=1
-export FBPIC_ENABLE_GPUDIRECT=0
-export CUDA_VISIBLE_DEVICES=""
-
-# Script to run libEnsemble using multiprocessing on launch nodes.
-# Assumes Conda environment is set up.
-
-export LIBE_SIM_EXTRA_ARGS="--gres=gpu:1"
-
-python run_example.py --comms local --nworkers {n_workers}
-
-
diff --git a/submission_scripts/lawrencium b/submission_scripts/lawrencium
deleted file mode 100644
index 4a3379d9..00000000
--- a/submission_scripts/lawrencium
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/bash
-#SBATCH -J {name}
-#SBATCH --partition es1
-#SBATCH --qos es_normal
-#SBATCH --constraint es1_v100
-#SBATCH --time {max_time}
-#SBATCH --nodes {n_nodes}
-#SBATCH --gres=gpu:2 --cpus-per-task=4
-
-module load python/3.6
-source activate $SCRATCH/fbpic_env
-
-export NUMBA_NUM_THREADS=1
-export OMP_NUM_THREADS=1
-
-# Script to run libEnsemble using multiprocessing on launch nodes.
-# Assumes Conda environment is set up.
-
-python run_example.py --comms local --nworkers {n_workers}
diff --git a/submission_scripts/lawrencium_1080ti b/submission_scripts/lawrencium_1080ti
deleted file mode 100644
index 38e18ac0..00000000
--- a/submission_scripts/lawrencium_1080ti
+++ /dev/null
@@ -1,19 +0,0 @@
-#!/bin/bash
-#SBATCH -J {name}
-#SBATCH --partition es1
-#SBATCH --qos es_normal
-#SBATCH --constraint es1_1080ti
-#SBATCH --time {max_time}
-#SBATCH --nodes {n_nodes}
-#SBATCH --gres=gpu:4 --cpus-per-task=8
-
-module load python/3.6
-source activate $SCRATCH/fbpic_env
-
-export NUMBA_NUM_THREADS=1
-export OMP_NUM_THREADS=1
-
-# Script to run libEnsemble using multiprocessing on launch nodes.
-# Assumes Conda environment is set up.
-
-python run_example.py --comms local --nworkers {n_workers}
diff --git a/submission_scripts/perlmutter b/submission_scripts/perlmutter
deleted file mode 100644
index 6f631c4a..00000000
--- a/submission_scripts/perlmutter
+++ /dev/null
@@ -1,18 +0,0 @@
-#!/bin/bash -x
-#SBATCH -J {name}
-#SBATCH -A m3906_g
-#SBATCH -C gpu
-#SBATCH --time {max_time}
-#SBATCH --nodes {n_nodes}
-#SBATCH --ntasks-per-node=4
-#SBATCH --gpus-per-task=1
-
-module load python
-source activate optimas
-
-export MPICH_GPU_SUPPORT_ENABLED=0
-export FBPIC_ENABLE_GPUDIRECT=0
-
-export LIBE_SIM_EXTRA_ARGS="--exact -u -n 1 --gpus-per-task 1 -c 32 --mem-per-gpu=60G"
-
-python run_example.py --comms local --nworkers {n_workers}
diff --git a/submission_scripts/summit b/submission_scripts/summit
deleted file mode 100644
index 06dfe9bc..00000000
--- a/submission_scripts/summit
+++ /dev/null
@@ -1,27 +0,0 @@
-#!/bin/bash -x
-#BSUB -P APH114
-#BSUB -J {name}
-#BSUB -W {max_time}
-#BSUB -nnodes {n_nodes}
-#BSUB -alloc_flags "smt1"
-
-module purge
-module load gcc/4.8.5
-module load cuda/9.1.85
-module load spectrum-mpi/10.3.1.2-20200121
-module load fftw/3.3.8
-module load python/3.7.0-anaconda3-5.3.0
-source activate fbpic
-export CUPY_CACHE_DIR=/gpfs/alpine/scratch/rlehe/aph114/.cupy/kernel_cache
-
-export NUMBA_NUM_THREADS=1
-export OMP_NUM_THREADS=1
-export FBPIC_ENABLE_GPUDIRECT=0
-export FBPIC_DISABLE_CACHING=1
-
-# Script to run libEnsemble using multiprocessing on launch nodes.
-# Assumes Conda environment is set up.
-
-export LIBE_SIM_EXTRA_ARGS="-n 1 -a 1 -g 1 -c 1 --bind=packed:1"
-
-python run_example.py --comms local --nworkers {n_workers}