Rajni Chahal

Publication Activity (10 Years)

Years Active: 2022-2024
Publications (10 Years): 6

Top Topics

Machine Learning

Smoking Cessation

Molecular Dynamics

Top Venues

The journal of physical chemistry letters

ACS applied materials & interfaces

This page only lists publications with an associated author ORCID identifier.

Publications

Rajni Chahal, Michael D Toomey, Logan T Kearney, Ada Sedova, Joshua T Damron, Amit K Naskar, Santanu Roy
Deep-Learning Interatomic Potential Connects Molecular Structural Ordering to the Macroscale Properties of Polyacrylonitrile. ACS applied materials & interfaces (2024)
Julian Barra, Rajni Chahal, Simone Audesse, Jize Zhang, Yu Zhong, Joey Kabel, Stephen T Lam
Chemistry Informed Machine Learning-Based Heat Capacity Prediction of Solid Mixed Oxides. The journal of physical chemistry letters 15 (17) (2024)
Rajni Chahal, Michael D Toomey, Logan T Kearney, Ada Sedova, Joshua T Damron, Amit K Naskar, Santanu Roy
Deep-Learning Interatomic Potential Connects Molecular Structural Ordering to the Macroscale Properties of Polyacrylonitrile. ACS applied materials & interfaces 16 (28) (2024)
Julian Barra, Rajni Chahal, Simone Audesse, Jize Zhang, Yu Zhong, Joey Kabel, Stephen T Lam
Chemistry Informed Machine Learning-Based Heat Capacity Prediction of Solid Mixed Oxides. The journal of physical chemistry letters (2024)
Rajni Chahal, Santanu Roy, Martin Brehm, Shubhojit Banerjee, Vyacheslav S Bryantsev, Stephen T Lam
Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF-NaF-ZrF 4 Molten Salt. JACS Au 2 (12) (2022)
Rajni Chahal, Santanu Roy, Martin Brehm, Shubhojit Banerjee, Vyacheslav S Bryantsev, Stephen T Lam
Transferable Deep Learning Potential Reveals Intermediate-Range Ordering Effects in LiF-NaF-ZrF 4 Molten Salt. JACS Au 2 (12) (2022)