diff --git a/simulations/example_run.py b/simulations/example_run.py
index c37bee9..3c80d44 100644
--- a/simulations/example_run.py
+++ b/simulations/example_run.py
@@ -2,33 +2,33 @@ import pandas as pd
 from tabulate import tabulate
 # The following imports NEED to be in the exact order
 from cadCAD.engine import ExecutionMode, ExecutionContext, Executor
-from simulations.validation import config4 #sweep_config, config1, config2
+from simulations.validation import sweep_config, config1, config2
 from cadCAD import configs
 
 exec_mode = ExecutionMode()
 
-print("Simulation Execution 1")
-print()
-first_config = [configs[0]] # from config1
-single_proc_ctx = ExecutionContext(context=exec_mode.single_proc)
-run1 = Executor(exec_context=single_proc_ctx, configs=first_config)
-run1_raw_result, tensor_field = run1.main()
-result = pd.DataFrame(run1_raw_result)
-print()
-print("Tensor Field:")
-print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
-print("Output:")
-print(tabulate(result, headers='keys', tablefmt='psql'))
-print()
+# print("Simulation Execution 1")
+# print()
+# first_config = [configs[0]] # from config1
+# single_proc_ctx = ExecutionContext(context=exec_mode.single_proc)
+# run1 = Executor(exec_context=single_proc_ctx, configs=first_config)
+# run1_raw_result, tensor_field = run1.main()
+# result = pd.DataFrame(run1_raw_result)
+# print()
+# print("Tensor Field:")
+# print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
+# print("Output:")
+# print(tabulate(result, headers='keys', tablefmt='psql'))
+# print()
 
-# print("Simulation Execution 2: Concurrent Execution")
-# multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc)
-# run2 = Executor(exec_context=multi_proc_ctx, configs=configs)
-# for raw_result, tensor_field in run2.main():
-#     result = pd.DataFrame(raw_result)
-#     print()
-#     print("Tensor Field:")
-#     print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
-#     print("Output:")
-#     print(tabulate(result, headers='keys', tablefmt='psql'))
-#     print()
+print("Simulation Execution 2: Concurrent Execution")
+multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc)
+run2 = Executor(exec_context=multi_proc_ctx, configs=configs)
+for raw_result, tensor_field in run2.main():
+    result = pd.DataFrame(raw_result)
+    print()
+    print("Tensor Field:")
+    print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
+    print("Output:")
+    print(tabulate(result, headers='keys', tablefmt='psql'))
+    print()