Rajni Chahal-Crockett

7PUBLICATIONS
13CO-AUTHORS
Photovoltaic power systemsStructure and dynamics of materialsRadiation and matterChemical and thermal processes in energy and combustionPolymerisation mechanisms
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (7)

|Jun 02, 2026
Concerted Electron-Ion Transport by Polyacrylonitrile Elucidated with Reactive Deep Learning Potentials.

|May 01, 2025
Exploring the Local Structure of Molten NaF-ZrF4 through In Situ XANES/EXAFS and Molecular Dynamics.

Anubhav Wadehra, Omar Oraby, Rajni Chahal

|Jan 27, 2025
Computing chemical potentials with machine-learning-accelerated simulations to accurately predict thermodynamic properties of molten salts.

Luke D Gibson, Rajni Chahal, Vyacheslav S Bryantsev

|Jan 13, 2025
Liquid-Vapor Phase Equilibrium in Molten Aluminum Chloride (AlCl3) Enabled by Machine Learning Interatomic Potentials.

Rajni Chahal, Luke D Gibson, Santanu Roy

|Jul 03, 2024
Deep-Learning Interatomic Potential Connects Molecular Structural Ordering to the Macroscale Properties of Polyacrylonitrile.

Rajni Chahal, Michael D Toomey, Logan T Kearney

|Apr 25, 2024
Chemistry Informed Machine Learning-Based Heat Capacity Prediction of Solid Mixed Oxides.

Julian Barra, Rajni Chahal, Simone Audesse

Pageof 2

Frequent Collaborators

4 joint publications

Santanu Roy

3 joint publications

Vyacheslav S Bryantsev

3 joint publications

Stephen T Lam

2 joint publications

Joshua T Damron