activity
20162023
most citedThe Joint Automated Repository for Various Integrated Simulations (JARVIS) for data-driven materials design

538 citations · 921 across the 15 of their papers we have counts for

collaborators

16 papers

cond-mat.mtrl-sci2023

Electrolyte Coatings for High Adhesion Interfaces in Solid-state Batteries from First Principles

Brandi Ransom, Akash Ramdas, Eder Lomeli +5

We introduce an adhesion parameter that enables rapid screening for materials interfaces with high adhesion. This parameter is obtained by density functional theory calculations of…

cond-mat.mtrl-sci2022

Emergence of Layer Stacking Disorder in c-axis Confined MoTe

James L Hart, Lopa Bhatt, Yanbing Zhu +13

The layer stacking order in 2D materials strongly affects functional properties and holds promise for next generation electronic devices. In bulk, octahedral MoTe possesses two…

physics.atm-clus2022

Predicting Molecule Size Distribution in Hydrocarbon Pyrolysis using Random Graph Theory

Vincent Dufour-Décieux, Christopher Moakler, Maria Cameron +1

Hydrocarbon pyrolysis is a complex process involving large numbers of chemical species and types of chemical reactions. Its quantitative description is important for planetary scie…

physics.comp-ph2021★ 10 cited

Atomic-Level Features for Kinetic Monte Carlo Models of Complex Chemistry from Molecular Dynamics Simulations

Vincent Dufour-Décieux, Rodrigo Freitas, Evan J. Reed

The high computational cost of evaluating atomic interactions recently motivated the development of computationally inexpensive kinetic models, which can be parametrized from MD si…

cond-mat.mtrl-sci2020★ 2 cited

Dataset of Random Relaxations for Crystal Structure Search of Li-Si System

Gowoon Cheon, Lusann Yang, Kevin McCloskey +2

Crystal structure search is a long-standing challenge in materials design. We present a dataset of more than 100,000 structural relaxations of potential battery anode materials fro…

cond-mat.mtrl-sci2020★ 27 cited

Discovery of stable surfaces with extreme work functions by high-throughput density functional theory and machine learning

Peter Schindler, Evan R. Antoniuk, Gowoon Cheon +2

The work function is the key surface property that determines how much energy is required for an electron to escape the surface of a material. This property is crucial for thermion…