Rajni Chahal

According to our database, Rajni Chahal authored at least 3 papers between 2023 and 2025.

Collaborative distances:

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

2025

Exploring the Capabilities of the Frontier Large Language Models for Nuclear Energy Research.

Ahmed Almeldein, Mohammed Alnaggar, Rick Archibald, Tom Beck, Arpan Biswas, Rike Bostelmann, Wes Brewer, Chris Bryan, Christopher Calle, Cihangir Celik, Rajni Chahal, Jong Youl Choi, Arindam Chowdhury, Mark R. Cianciosa, Franklin Curtis, Gregory G. Davidson, Sebastian De Pascuale, Lisa Fassino, Ana Gainaru, Yashika Ghai, Luke Gibson, Qian Gong, Christopher Greulich, Scott Greenwood, Cory D. Hauck, Ehab Hassan, Rinkle Juneja, Soyoung Kang, Scott Klasky, Atul Kumar, Vineet Kumar, M. Paul Laiu, Calvin Lear, Yan-Ru Lin, Jono McConnell, Furkan Oz, Rishi Pillai, Anant Raj, Pradeep Ramuhalli, Marie Romedenne, Samantha Sabatino, José Salcedo-Pérez, Nathan D. See, Arpan Sircar, Punam Thankur, Timothy Reed Younkin, Xiao-Ying Yu, Prashant Jain, Tom Evans, Prasanna Balaprakash

CoRR, June, 2025

2024

Generalizable Prediction Model of Molten Salt Mixture Density with Chemistry-Informed Transfer Learning.

Julian Barra, Shayan Shahbazi, Anthony Birri, Rajni Chahal, Ibrahim Isah, Muhammad Nouman Anwar, Tyler Starkus, Prasanna Balaprakash, Stephen Lam

CoRR, 2024

2023

Multiobjective Hyperparameter Optimization for Deep Learning Interatomic Potential Training Using NSGA-II.

Mark Coletti, Ada Sedova, Rajni Chahal, Luke Gibson, Santanu Roy, Vyacheslav Bryantsev

Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023