Jeffrey C. Grossman

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 6

Top Topics

Convolutional Neural Networks

High Throughput

Unsupervised Learning

Top Venues

Publications

Sheng Gong, Shuo Wang, Taishan Zhu, Yang Shao-Horn, Jeffrey C. Grossman
Multimodal machine learning for materials science: composition-structure bimodal learning for experimentally measured properties. CoRR (2023)
Tian Xie, Ha-Kyung Kwon, Daniel Schweigert, Sheng Gong, Arthur France-Lanord, Arash Khajeh, Emily Crabb, Michael Puzon, Chris Fajardo, Will Powelson, Yang Shao-Horn, Jeffrey C. Grossman
A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations. CoRR (2022)
Tian Xie, Arthur France-Lanord, Yanming Wang, Jeffrey Lopez, Michael Austin Stolberg, Megan Hill, Graham Michael Leverick, Rafael Gómez-Bombarelli, Jeremiah A. Johnson, Yang Shao-Horn, Jeffrey C. Grossman
Accelerating the screening of amorphous polymer electrolytes by learning to reduce random and systematic errors in molecular dynamics simulations. CoRR (2021)
Tian Xie, Arthur France-Lanord, Yanming Wang, Yang Shao-Horn, Jeffrey C. Grossman
Graph Dynamical Networks: Unsupervised Learning of Atomic Scale Dynamics in Materials. CoRR (2019)
Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari, Jeffrey C. Grossman, Venkatasubramanian Viswanathan
Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode. CoRR (2018)
Tian Xie, Jeffrey C. Grossman
Hierarchical Visualization of Materials Space with Graph Convolutional Neural Networks. CoRR (2018)
Sophia Sklan, Jeffrey C. Grossman
Beyond electronics, beyond optics: single circuit parallel computing with phonons CoRR (2013)
Yosuke Kanai, Jeffrey B. Neaton, Jeffrey C. Grossman
Theory and Simulation of Nanostructured Materials for Photovoltaic Applications. Comput. Sci. Eng. 12 (2) (2010)