Sheng Gong

Presentation History

2024 MRS Fall Meeting & Exhibit

BAMBOO—A Predictive and Transferable Machine Learning Force Field Framework for Liquid Electrolyte Development

Dec 4, 2024, 8:00 PM

2024 MRS Fall Meeting & Exhibit

Multimodal Machine Learning for Materials Science—Composition-Structure Bimodal Learning for Experimentally Measured Properties

Dec 3, 2024, 2:30 PM

2022 MRS Fall Meeting

Htpmd—A Cloud Platform for Automated Analysis of Raw Simulation Data for Polymer Electrolytes

Dec 1, 2022, 10:45 AM

2022 MRS Fall Meeting

Examining Graph Neural Networks for Inorganic Crystalline Structures

Nov 28, 2022, 10:45 AM

2022 MRS Spring Meeting

Calibrating DFT Formation Enthalpy Calculations by Multi-Fidelity Machine Learning

May 9, 2022, 11:30 AM

2021 MRS Spring Meeting

Screening and Understanding Li Adsorption on Two-Dimensional Metallic Materials by Learning Physics

Apr 19, 2021, 11:00 AM

2019 MRS Fall Meeting

Lattice Dynamics and Thermodynamics of Strongly Anharmonic Solids via Bayesian Learning and Convolutional Neural Networks

Dec 3, 2019, 11:45 AM