Ankur K. Gupta
Materials Science · Indiana University
Publications
29
Citations
498
Est. group size
—
Recurring co-author estimate
Active years
38
Publishing since 1988
Ankur K. Gupta works at the intersection of computational and experimental chemistry and materials science, developing machine-learning tools (including equivariant neural networks and large language models) to speed up tasks such as predicting molecular crystal energies and extracting rare-earth metals. The research also includes hands-on synthetic and structural chemistry, such as designing solids that capture carbon dioxide from air and determining crystal structures.
Publication activity was modest through 2017-2022, spiked sharply in 2023, and has continued at a steady pace of several papers per year since.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- Phase Change-Mediated Capture of Carbon Dioxide from Air with a Molecular Triamine Network Solid
Journal of the American Chemical Society · 2025
- Toward accelerating rare-earth metal extraction using equivariant neural networks
Digital Discovery · 2025
- Bayesian Optimization Hackathon for Chemistry and Materials
ChemRxiv · 2025
- Toward Accelerating Rare-Earth Metal Extraction Using Equivariant Neural Networks
ChemRxiv · 2025
- Equivariant Neural Networks Utilizing Molecular Clusters for Accurate Molecular Crystal Lattice Energy Predictions
ACS Omega · 2024
- Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry
arXiv (Cornell University) · 2024
- 14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon
Digital Discovery · 2023
- 14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon
PubMed · 2023
- Equivariant Neural Networks Utilizing Molecular Clusters for Accurate Molecular Crystal Binding Energy Predictions
ChemRxiv · 2023
- Tris(carbene)borates; alternatives to cyclopentadienyls in organolanthanide chemistry
Dalton Transactions · 2023
- CCDC 2235952: Experimental Crystal Structure Determination
The Cambridge Structural Database · 2023
- CCDC 2235950: Experimental Crystal Structure Determination
The Cambridge Structural Database · 2023
- CCDC 2235953: Experimental Crystal Structure Determination
The Cambridge Structural Database · 2023
- CCDC 2235951: Experimental Crystal Structure Determination
The Cambridge Structural Database · 2023
- Author response for "14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon"
2023
- ChemRxiv×4
- The Cambridge Structural Database×4
- Journal of Chemical Theory and Computation×3
- The Journal of Physical Chemistry A×3
- Digital Discovery×2
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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