Nakul Rampal

According to our database, Nakul Rampal authored at least 6 papers between 2023 and 2026.

Collaborative distances:

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

2026

A chemical language model for reticular materials design.

Dhruv Menon, Vivek Singh, Xu Chen, Mohammad Reza Alizadeh Kiapi, Ivan Zyuzin, Hamish W. Macleod, Nakul Rampal, William Shepard, Omar M. Yaghi, David Fairen-Jimenez

CoRR, March, 2026

2025

ChainSimulator for Linear Poly[n]catenanes.

Kaiyu Wang, Nakul Rampal, Ying Liu, Hossein Amiri, Daniel Loh, Cailing Chen, Ha Nguyen, Felipe Gándara, Vivek Singh, Zichao Rong, Yuang Shi, Omid Amiri, Sebastian Ephraim Neumann, Jackson Thomassian, Raynald Giovine, Punit Kumar, Robert O. Ritchie, Lingmei Liu, Carlos Bustamante, Yu Han, Ting Xu, Omar Yaghi

Dataset, June, 2025

2024

Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo.

Nakul Rampal, Kaiyu Wang, Matthew Burigana, Lingxiang Hou, Juri Al-Johani, Anna Sackmann, Hanan S. Murayshid, Walaa Abdullah Al-Sumari, Arwa M. Al-Abdulkarim, Nahla Eid Al-Hazmi, Majed O. Al-Awad, Christian Borgs, Jennifer T. Chayes, Omar M. Yaghi

CoRR, 2024

A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics.

Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C. Bhethanabotla, Nakul Rampal, Omar Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T. Chayes

CoRR, 2024

2023

Image and Data Mining in Reticular Chemistry Using GPT-4V.

Zhiling Zheng, Zhiguo He, Omar Khattab, Nakul Rampal, Matei A. Zaharia, Christian Borgs, Jennifer T. Chayes, Omar M. Yaghi

CoRR, 2023

GPT-4 Reticular Chemist for MOF Discovery.

Zhiling Zheng, Zichao Rong, Nakul Rampal, Christian Borgs, Jennifer T. Chayes, Omar M. Yaghi

CoRR, 2023