Rachel C. Kurchin

According to our database, Rachel C. Kurchin authored at least 5 papers between 2019 and 2024.

Collaborative distances:

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

2024

Generalization of graph-based active learning relaxation strategies across materials.

Xiaoxiao Wang, Joseph Musielewicz, Richard Tran, Sudheesh Kumar Ethirajan, Xiaoyan Fu, Hilda Mera, John R. Kitchin, Rachel C. Kurchin, Zachary W. Ulissi

Mach. Learn. Sci. Technol., 2024

2023

Chemellia: An Ecosystem for Atomistic Scientific Machine Learning.

Anant Thazhemadam, Dhairya Gandhi, Venkatasubramanian Viswanathan, Rachel C. Kurchin

CoRR, 2023

2022

Score-Based Generative Models for Molecule Generation.

Dwaraknath Gnaneshwar, Bharath Ramsundar, Dhairya Gandhi, Rachel C. Kurchin, Venkatasubramanian Viswanathan

CoRR, 2022

2020

ACED: Accelerated Computational Electrochemical systems Discovery.

Rachel C. Kurchin, Eric Muckley, Lance Kavalsky, Vinay I. Hegde, Dhairya Gandhi, Xiaoyu Sun, Matthew Johnson, Alan Edelman, James E. Saal, Christopher Vincent Rackauckas, Bryce Meredig, Viral B. Shah, Venkatasubramanian Viswanathan

CoRR, 2020

2019

Bayesim: A tool for adaptive grid model fitting with Bayesian inference.

Rachel C. Kurchin, Giuseppe Romano, Tonio Buonassisi

Comput. Phys. Commun., 2019