8:15 am - 2:45 pm PDT (UTC-7)

Event Lobby

8:15 - 8:30 am Welcome Address

8:30 - 2:30 pm Information & Agenda

2:30 - 2:45 pm Closing Messages

8:30 - 9:15 am PDT (UTC-7)


Pamela Isom

Director of the Artificial Intelligence and Technology Office and Deputy Chief Information Officer for Architecture, Engineering, Technology, and Innovation

United States Department of Energy

Trustworthy and Cyber Security considerations for machine learning and artificial intelligence


Pat Falcone, Deputy Director for Science and Technology, Lawrence Livermore National Laboratory

15 Minute Break

Day 3 | Aug 12 | Session 1

9:30 - 11:00 am PDT (UTC-7)

Panel Session: Workforce & Resources


Mike Goldman, Lawrence Livermore National Laboratory

9:30-11:00 am

Paul Maglio

University of Califorina Merced

Sergey Karayev


Ben Snively


Evan Sparks

Determined AI, an HPC Company

Physics-Constrained Learning I


Dan Flowers, Lawrence Livermore National Laboratory

9:30 - 10:00 am


10:00 - 10:30 am

Physics-Infused Differential-Algebraic Reduced-Order Models for Multi-Disciplinary Systems

Daning Huang

Pennsylvania State University

10:30 - 11:00 am

Accelerated microstructure evolution with machine learning

Fei Zhou

Lawrence Livermore National Laboratory

15 Minute Break

Day 3 | Aug 12 | Session 2

11:15 - 12:45 pm PDT (UTC-7)

Panel Session: Dataset Sharing and Security


Greg Herweg, Lawrence Livermore National Laboratory

11:15-12:45 pm

Eric Stallman

University of California Berkeley

Wesley Forbes

Electric Power Research Institute

Eyal Amir


Kyle Halliday

Lawrence Livermore National Laboratory

Physics-Constrained Learning II


AJ Simon, Lawrence Livermore National Laboratory

11:15 - 11:45 am

Hyper-reduced nonlinear manifold reduced order model

Youngsoo Choi

Lawrence Livermore National Laboratory

11:45 - 12:15 pm

Modeling and Simulation Tools for Industrial and Societal Research Applications: Digital Twins and Genome-based Machine-learning

Tarek Zohdi

University of California Berkeley

12:15 - 12:45 pm

Defect Detection from Magnetic Data using Machine Learning

Denis Akhiyarov


15 Minute Break

Day 3 | Aug 12 | Session 3

12:45 - 2:30 pm PDT (UTC-7)

Physics-Constrained Learning III


Bob Ferencz, Lawrence Livermore National Laboratory

1:00 - 1:30 pm

Creating a Platform for Rapid Computational Antibody Design via Machine Learning, HPC, and Laboratory Experimentation

Tom Desautels

Lawrence Livermore National Laboratory

1:30 -2:00 pm

Using AI to better predict future climate to drive better business decisions

Subarna Bhattacharyya

Climformatics Inc.

2:00 - 2:30 pm

Prognosis and Health Management with Digital Twins and Hybrid Physics-Informed Neural Networks

Felipe Viana

University of Central Florida

2:30 pm - 2:45 pm PDT (UTC-7)

Closing Messages