Bharath Ramsundar

Forest Concepts (United States) — United States

Materials Science · Physical Sciences

19h-index12.3kcitations82works0.82yr avg
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Research Topics

Machine Learning in Materials Science(39), Computational Drug Discovery Methods(28), Protein Structure and Dynamics(12), Quantum many-body systems(5), Cell Image Analysis Techniques(5)

Publications82 total

Deepmechanics
ArXiv.org·2026Open Access
Deepmechanics
arXiv (Cornell University)·2026Open Access
A fully differentiable framework for training proxy Exchange Correlation Functionals for periodic systems
ArXiv.org·2026Open Access
A fully differentiable framework for training proxy Exchange Correlation Functionals for periodic systems
arXiv (Cornell University)·2026Open Access
Protect$^*$: Steerable Retrosynthesis through Neuro-Symbolic State Encoding
arXiv (Cornell University)·2026Open Access
Protect$^*$: Steerable Retrosynthesis through Neuro-Symbolic State Encoding
ArXiv.org·2026Open Access
DeepRetro discovers retrosynthetic pathways through iterative large language model reasoning
Scientific Reports·2026Open Access
ChemBERTa-3: an open source training framework for chemical foundation models
Digital Discovery·2026· 1 citedOpen Access
Deepmechanics
Open MIND·2026Open Access
Inferring Dynamic Hidden Graph Structure in Heterogeneous Correlated Time Series
arXiv (Cornell University)·2025Open Access
Density-based Neural Temporal Point Processes for Heartbeat Dynamics
arXiv (Cornell University)·2025Open Access
Foundation Models for Discovery and Exploration in Chemical Space
arXiv (Cornell University)·2025Open Access
DeepChem Equivariant: SE(3)-Equivariant Support in an Open-Source Molecular Machine Learning Library
arXiv (Cornell University)·2025Open Access
DeepChem-DEL: An Open Source Framework for Reproducible DEL Modeling and Benchmarking
2025Open Access
ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models
Zenodo (CERN European Organization for Nuclear Research)·2025Open Access
ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models
2025· 2 citedOpen Access
ChemBERTa-3: An Open Source Training Framework for Chemical Foundation Models
2025· 2 citedOpen Access
DeepRetro: Retrosynthetic Pathway Discovery using Iterative LLM Reasoning
arXiv (Cornell University)·2025Open Access
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Frequent Co-authors

Vijay S. Pande(15), Evan N. Feinberg(6), Seyone Chithrananda(6), Halie M. Rando(6), Ronan Lordan(6), Alexandra Lee(6), Nils Wellhausen(6), Anthony Gitter(6), Casey S. Greene(6), Venkatasubramanian Viswanathan(6), Joseph Gomes(5), Walid Ahmad(5), Likhitha Kolla(5), Elizabeth Sell(5), Kevin McLoughlin(5), Venkat Viswanathan(5), Zhenqin Wu(4), Aneesh Pappu(4), Brooke E. Husic(4), Steven Kearnes(4)