Nakul Rampal

Blue Planet (Norway) — Norway

Chemistry · Physical Sciences

23h-index2.0kcitations54works16.22yr avg
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Research Topics

Metal-Organic Frameworks: Synthesis and Applications(24), Machine Learning in Materials Science(14), Catalytic Processes in Materials Science(7), Covalent Organic Framework Applications(7), Computational Drug Discovery Methods(5)

Publications53 total

An automated evaluation agent for Q&A pairs and reticular synthesis conditions
Digital Discovery·2025Open Access
Reticular Chemistry: Past, Present, and Future
Molecular Frontiers Journal·2025Open Access
An Automated Evaluation Agent for Q&A Pairs and Reticular Synthesis Conditions
2025· 1 citedOpen Access
Fully-stretched, single-crystalline polymers of linear poly[n]catenanes
2025· 1 citedOpen Access
Large language models for reticular chemistry
Nature Reviews Materials·2025· 80 cited
Comparison of LLMs in extracting synthesis conditions and generating Q&A datasets for metal–organic frameworks
Digital Discovery·2025· 8 citedOpen Access
Comparison of LLMs in Extracting Synthesis Conditions and Generating Q&A Datasets for Metal-Organic Frameworks
2024Open Access
Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo
Journal of Chemical Theory and Computation·2024· 9 cited
Better together: Monolithic halide perovskite@metal-organic framework composites
Matter·2024· 14 citedOpen Access
Single and Multi-Hop Question-Answering Datasets for Reticular Chemistry with GPT-4-Turbo
arXiv (Cornell University)·2024Open Access
A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics
arXiv (Cornell University)·2024Open Access
CCDC 2303711: Experimental Crystal Structure Determination
The Cambridge Structural Database·2024Open Access
Harvesting Water from Air with High-Capacity, Stable Furan-Based Metal–Organic Frameworks
Journal of the American Chemical Society·2024· 61 cited
Image and data mining in reticular chemistry powered by GPT-4V
Digital Discovery·2024· 53 citedOpen Access
Shaping the Water-Harvesting Behavior of Metal–Organic Frameworks Aided by Fine-Tuned GPT Models
Journal of the American Chemical Society·2023· 106 citedOpen Access
Image and Data Mining in Reticular Chemistry Using GPT-4V
arXiv (Cornell University)·2023Open Access
ChatGPT Research Group for Optimizing the Crystallinity of MOFs and COFs
ACS Central Science·2023· 127 citedOpen Access
Harvesting Water from Air with High-Capacity, Stable Furan-Based Metal–Organic Frameworks
2023· 4 citedOpen Access
Advances in surface functionalization of next-generation metal-organic frameworks for biomedical applications: Design, strategies, and prospects
Chem·2023· 103 citedOpen Access
A GPT‐4 Reticular Chemist for Guiding MOF Discovery**
Angewandte Chemie·2023· 11 cited
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Frequent Co-authors

Omar M. Yaghi(18), David Fairen‐Jiménez(16), David G. Madden(13), Christian Borgs(13), Jennifer Chayes(13), Zhiling Zheng(10), Vitalie Stavila(9), Neil R. Champness(9), Zichao Rong(9), Ceren Çamur(9), Mark D. Allendorf(8), Joaquín Silvestre‐Albero(8), Daniel Maspoch(7), Camille Petit(7), Johannes W. M. Osterrieth(6), Luka Skorić(6), Bethany Connolly(6), Rob Ameloot(6), Conchi O. Ania(6), Diana C. S. Azevedo(6)