diff --git a/README.md b/README.md
index 6a7fe07..3e5cadc 100644
--- a/README.md
+++ b/README.md
@@ -1,10 +1,10 @@
-# SimCad
+# cadCAD
 **Warning**:
 **Do not** publish this package / software to **any** software repository **except** one permitted by BlockScience.  
 
 **Description:**
 
-SimCAD is a differential games based simulation software package for research, validation, and Computer \
+cadCAD is a differential games based simulation software package for research, validation, and Computer \
 Aided Design of economic systems. An economic system is treated as a state based model and defined through a \
 set of endogenous and exogenous state variables which are updated through mechanisms and environmental \
 processes, respectively. Behavioral models, which may be deterministic or stochastic, provide the evolution of \
@@ -41,48 +41,89 @@ Intructions:
 Examples:
 `/simulations/validation/*`
 
-**3. Import SimCAD & Run Simulation:**
+**3. Import cadCAD & Run Simulations:**
 
-Examples: `/simulations/example_run.py` or `/simulations/example_run.ipynb`
+Examples: `/simulations/*.py` or `/simulations/*.ipynb`
 
-`/simulations/example_run.py`:
+Single Simulation Run: `/simulations/single_config_run.py`
 ```python
-import pandas as pd
 from tabulate import tabulate
-
 # The following imports NEED to be in the exact order
-from SimCAD.engine import ExecutionMode, ExecutionContext, Executor
-from validation import config1, config2
-from SimCAD import configs
+from cadCAD.engine import ExecutionMode, ExecutionContext, Executor
+from simulations.validation import config1
+from cadCAD import configs
 
 exec_mode = ExecutionMode()
 
-print("Simulation Execution 1")
+print("Simulation Execution: Single Configuration")
 print()
-first_config = [configs[0]] # from config1
+first_config = configs # only contains 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("Tensor Field: config1")
 print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
 print("Output:")
 print(tabulate(result, headers='keys', tablefmt='psql'))
 print()
+```
 
-print("Simulation Execution 2: Pairwise Execution")
-print()
+Parameter Sweep Simulation Run (Concurrent): `/simulations/param_sweep_run.py`
+```python
+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 sweep_config
+from cadCAD import configs
+
+exec_mode = ExecutionMode()
+
+print("Simulation Execution: Concurrent Execution")
 multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc)
 run2 = Executor(exec_context=multi_proc_ctx, configs=configs)
+
+i = 0
+config_names = ['sweep_config_A', 'sweep_config_B']
 for raw_result, tensor_field in run2.main():
     result = pd.DataFrame(raw_result)
     print()
-    print("Tensor Field:")
+    print("Tensor Field: " + config_names[i])
     print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
     print("Output:")
     print(tabulate(result, headers='keys', tablefmt='psql'))
     print()
+    i += 1
+```
+
+Multiple Simulation Runs (Concurrent): `/simulations/multi_config run.py`
+```python
+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 config1, config2
+from cadCAD import configs
+
+exec_mode = ExecutionMode()
+
+print("Simulation Execution: Concurrent Execution")
+multi_proc_ctx = ExecutionContext(context=exec_mode.multi_proc)
+run2 = Executor(exec_context=multi_proc_ctx, configs=configs)
+
+i = 0
+config_names = ['config1', 'config2']
+for raw_result, tensor_field in run2.main():
+    result = pd.DataFrame(raw_result)
+    print()
+    print("Tensor Field: " + config_names[i])
+    print(tabulate(tensor_field, headers='keys', tablefmt='psql'))
+    print("Output:")
+    print(tabulate(result, headers='keys', tablefmt='psql'))
+    print()
+    i =+ 1
 ```
 
 The above can be run in Jupyter.