AI, Modeling, and Simulation for Advanced Materials Design

Symposium Co-Chairs

Shruti Venkatram
Materials Data Scientist
3M

Jan-Willem Handgraaf
Senior Technical Product Manager
Siemens Digital Industries Software

Back to Top ↑ 2024 Symposium Sessions
	Tuesday June 18
1:30	AI Modeling & Simulation
4:00	AI Modeling & Simulation - Posters

2024 Symposium Program
	Tuesday June 18

1:30	AI Modeling & Simulation	TBA
	Session chair: Jan-Willem Handgraaf, Siemens, US
	Towards chemical foundation models for digital prediction of experimental measurements E. Annevelink, Physics Inverted Materials, US
	Digital methods for material discovery, process design, scaleup and manufacturing R. Aglave, J.-W. Handgraaf, T. Sweere, T. Eppinger, S. Gaagat, Siemens Digital Industries Software, US
	Utilizing Genetic Algorithms for Autonomous RF FEM Simulation & Optimization V. Gjokaj, NuPhotonics LLC, US
	Leveraging Physics-Based Simulations and Machine Learning to Identify Promising Formulations for Materials Science Applications A.K. Chew, M.A.F. Afzal, A. Chandrasekaran, M.D. Halls, Schrödinger, US
	When Can We Ignore Missing Data in Model Training? C. Zhen, A. Singh, A. Termehchy, Oregon State University, US
	Analyzing and optimizing CO2 geothermal energy production utilizing artificial intelligence – a deep basin approach K. Katterbauer, A. Alhashboul, H. Chen, A. Yousef, Saudi Aramco, SA

4:00	AI Modeling & Simulation - Posters	Expo Hall BC
	The effect of moisture on the mechanical and thermophysical properties of the crosslinked network of the SU-8 photoresist. A. Goldberg, A.R. Browning, T. Morisato, T. Vadicherla, M.D. Halls, Schrodinger, US
	Finite Difference Simulation of Surface Smoothing Induced by Atomic Layer Etching M.F. Leung, Pasadena City College, US
	Common Data Model to Rapidly Certify AM Parts with Reduced Inspection Leveraging AI / ML D. Reed, J. Shah, W. Sobol, T. Kirk, A. Kitt, MxD USA, US
	Using Advanced Hybrid Power Systems Controls for Precision Sustainment Through AI D. Moorman, Moser Energy Systems, US
	Estimating solid-liquid interfacial anisotropy using phase-field simulations and machine learning G. Kim, S. Hyun, H. Ko, Korea Institute of Ceramics Engineering and Technology, KR