23rd Biennial Conference of the APS Topical Group on Shock Compression of Condensed Matter
Volume 68, Number 8
Monday–Friday, June 19–23, 2023;
Chicago, Illinois
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Session Index
Session K02: Machine Learning for Energetic Materials I
Show Abstracts
Chair: Brian Barnes, U.S. Army Combat Capabilities Development Command (DEVCOM) Army Research LaboratorySheraton Grand Chicago Riverwalk Sheraton 3
Tuesday, June 20, 2023
K02.00001: Mapping microstructure to shock-induced temperature fields using machine learning Invited Speaker:
Alejandro H Strachan
Tuesday, June 20, 2023
K02.00002: Predicting critical impact velocity in PBX-9501 using machine learning Roberto Perera, Blake Mccracken, Nicholas Cummock, Vinamra Agrawal
Tuesday, June 20, 2023
K02.00003: “Research output software for energetic materials based on observational modelling/ machine learning” (RoseBoom© ) Sabrina Wahler, William G Proud
Tuesday, June 20, 2023
K02.00004: Group Equivalent Machine Learning Approach to Predict Hydrocarbon Strain Energy Jesse C Hearn, Brian C Barnes, Betsy M Rice, Peter W Chung
Tuesday, June 20, 2023
K02.00005: Automatic Differentiation in Dynamic Topology Optimization Kevin Korner
