Jeffrey C. Grossman

According to our database, Jeffrey C. Grossman authored at least 8 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Multimodal machine learning for materials science: composition-structure bimodal learning for experimentally measured properties.

Sheng Gong, Shuo Wang, Taishan Zhu, Yang Shao-Horn, Jeffrey C. Grossman

CoRR, 2023

2022

A cloud platform for automating and sharing analysis of raw simulation data from high throughput polymer molecular dynamics simulations.

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

CoRR, 2022

2021

Accelerating the screening of amorphous polymer electrolytes by learning to reduce random and systematic errors in molecular dynamics simulations.

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

CoRR, 2021

2019

Graph Dynamical Networks: Unsupervised Learning of Atomic Scale Dynamics in Materials.

Tian Xie, Arthur France-Lanord, Yanming Wang, Yang Shao-Horn, Jeffrey C. Grossman

CoRR, 2019

2018

Hierarchical Visualization of Materials Space with Graph Convolutional Neural Networks.

Tian Xie, Jeffrey C. Grossman

CoRR, 2018

Machine Learning Enabled Computational Screening of Inorganic Solid Electrolytes for Dendrite Suppression with Li Metal Anode.

Zeeshan Ahmad, Tian Xie, Chinmay Maheshwari, Jeffrey C. Grossman, Venkatasubramanian Viswanathan

CoRR, 2018

2013

Beyond electronics, beyond optics: single circuit parallel computing with phonons

Sophia Sklan, Jeffrey C. Grossman

CoRR, 2013

2010

Theory and Simulation of Nanostructured Materials for Photovoltaic Applications.

Yosuke Kanai, Jeffrey B. Neaton, Jeffrey C. Grossman

Comput. Sci. Eng., 2010