diff --git a/examples/libE_submission_scripts/bebop_submit_pbs_central.sh b/examples/libE_submission_scripts/bebop_submit_pbs_central.sh
new file mode 100644
index 0000000000..4d0aff5894
--- /dev/null
+++ b/examples/libE_submission_scripts/bebop_submit_pbs_central.sh
@@ -0,0 +1,14 @@
+#!/bin/bash -l
+#PBS -l select=4
+#PBS -l walltime=00:15:00
+#PBS -q bdwall
+#PBS -A [project]
+#PBS -N libE_example
+
+
+cd $PBS_O_WORKDIR
+# Choose MPI backend. Note that the built mpi4py in your environment should match.
+module load oneapi/mpi
+# module load openmpi
+
+python run_libe_example.py -n 16
diff --git a/examples/libE_submission_scripts/bebop_submit_pbs_distrib.sh b/examples/libE_submission_scripts/bebop_submit_pbs_distrib.sh
deleted file mode 100644
index 756471d087..0000000000
--- a/examples/libE_submission_scripts/bebop_submit_pbs_distrib.sh
+++ /dev/null
@@ -1,12 +0,0 @@
-#!/bin/bash -l
-#PBS -l select=2:mpiprocs=16
-#PBS -l walltime=00:15:00
-#PBS -q bdwall
-#PBS -A [project]
-#PBS -N libE_example
-
-
-cd $PBS_O_WORKDIR
-module load openmpi
-
-mpirun -n 16 --ppn 8 python run_libe_example.py
diff --git a/examples/libE_submission_scripts/bebop_submit_slurm_central.sh b/examples/libE_submission_scripts/bebop_submit_slurm_central.sh
deleted file mode 100644
index f599a05099..0000000000
--- a/examples/libE_submission_scripts/bebop_submit_slurm_central.sh
+++ /dev/null
@@ -1,24 +0,0 @@
-#!/bin/bash
-#SBATCH -J libE_test_central
-#SBATCH -N 5
-#SBATCH -p knlall
-#SBATCH -A <my_project>
-#SBATCH -o tlib.%j.%N.out
-#SBATCH -e tlib.%j.%N.error
-#SBATCH -t 01:00:00
-
-# Launch script for running in central mode with mpi4py.
-#   libEnsemble will run on a dedicated node (or nodes).
-#   The remaining nodes in the allocation will be dedicated to worker launched apps.
-#   Use executor with auto-resources=True and central_mode=True.
-
-# User to edit these variables
-export EXE=libE_calling_script.py
-export NUM_WORKERS=4
-export I_MPI_FABRICS=shm:tmi
-
-# Overcommit will allow ntasks up to the no. of contexts on one node (eg. 320 on Bebop)
-srun --overcommit --ntasks=$(($NUM_WORKERS+1)) --nodes=1 python $EXE
-
-# To use local mode instead of mpi4py (with parse_args())
-# python calling_script.py -n $NUM_WORKERS
diff --git a/examples/libE_submission_scripts/submit_distrib_mpi4py.sh b/examples/libE_submission_scripts/submit_distrib_mpi4py.sh
new file mode 100644
index 0000000000..d696c1dfa6
--- /dev/null
+++ b/examples/libE_submission_scripts/submit_distrib_mpi4py.sh
@@ -0,0 +1,89 @@
+#!/bin/bash
+#SBATCH -J libE_test
+#SBATCH -N 4
+#SBATCH -p [queue]
+#SBATCH -A <my_project>
+#SBATCH -o tlib.%j.%N.out
+#SBATCH -e tlib.%j.%N.error
+#SBATCH -t 01:00:00
+
+# Launch script that runs in distributed mode with mpi4py.
+#   Workers are evenly spread over nodes and manager added to the first node.
+#   Requires even distribution - either multiple workers per node or nodes per worker
+#   Option for manager to have a dedicated node.
+#   Use of MPI Executor will ensure workers co-locate tasks with workers
+#   If node_list file is kept, this informs libe of resources. Else, libe auto-detects.
+
+# User to edit these variables
+export EXE=libE_calling_script.py
+export NUM_WORKERS=4
+export MANAGER_NODE=false # true = Manager has a dedicated node (assign one extra)
+export USE_NODE_LIST=true # If false, allow libE to determine node_list from environment.
+
+# As libE shares nodes with user applications allow fallback if contexts overrun.
+unset I_MPI_FABRICS
+export I_MPI_FABRICS_LIST=tmi,tcp
+export I_MPI_FALLBACK=1
+
+# If using in calling script (After N mins manager kills workers and exits cleanly)
+export LIBE_WALLCLOCK=55
+
+#-----------------------------------------------------------------------------
+# Work out distribution
+if [[ $MANAGER_NODE = "true" ]]; then
+  WORKER_NODES=$(($SLURM_NNODES-1))
+else
+  WORKER_NODES=$SLURM_NNODES
+fi
+
+if [[ $NUM_WORKERS -ge $WORKER_NODES ]]; then
+  SUB_NODE_WORKERS=true
+  WORKERS_PER_NODE=$(($NUM_WORKERS/$WORKER_NODES))
+else
+  SUB_NODE_WORKERS=false
+  NODES_PER_WORKER=$(($WORKER_NODES/$NUM_WORKERS))
+fi;
+#-----------------------------------------------------------------------------
+
+# A little useful information
+echo -e "Manager process running on: $HOSTNAME"
+echo -e "Directory is:  $PWD"
+
+# Generate a node list with 1 node per line:
+srun hostname | sort -u > node_list
+
+# Add manager node to machinefile
+head -n 1 node_list > machinefile.$SLURM_JOBID
+
+# Add worker nodes to machinefile
+if [[ $SUB_NODE_WORKERS = "true" ]]; then
+  awk -v repeat=$WORKERS_PER_NODE '{for(i=0; i<repeat; i++)print}' node_list \
+  >>machinefile.$SLURM_JOBID
+else
+  awk -v patt="$NODES_PER_WORKER" 'NR % patt == 1' node_list \
+  >> machinefile.$SLURM_JOBID
+fi;
+
+if [[ $USE_NODE_LIST = "false" ]]; then
+  rm node_list
+  wait
+fi;
+
+# Put in a timestamp
+echo Starting execution at: `date`
+
+# To use srun
+export SLURM_HOSTFILE=machinefile.$SLURM_JOBID
+
+# The "arbitrary" flag should ensure SLURM_HOSTFILE is picked up
+# cmd="srun --ntasks $(($NUM_WORKERS+1)) -m arbitrary python $EXE"
+cmd="srun --ntasks $(($NUM_WORKERS+1)) -m arbitrary python $EXE $LIBE_WALLCLOCK"
+
+echo The command is: $cmd
+echo End PBS script information.
+echo All further output is from the process being run and not the script.\n\n $cmd
+
+$cmd
+
+# Print the date again -- when finished
+echo Finished at: `date`