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Arvind Ramanathan — most-cited papers & profile · AI for Science
← authors
·
overview
Arvind Ramanathan
17
papers ·
57
citations ·
36
h-index
Argonne National Laboratory · University of Chicago · Molecular Biology Consortium
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Most-cited papers
Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release
2020 · 20 citations
Protein Folding Neural Networks Are Not Robust
2021 · 12 citations
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies
2023 · 8 citations
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks
2022 · 5 citations
Equivariant Graph Neural Operator for Modeling 3D Dynamics
2024 · 3 citations
Scaffold Embeddings: Learning the Structure Spanned by Chemical Fragments, Scaffolds and Compounds
2021 · 2 citations
On the Robustness of AlphaFold: A COVID-19 Case Study
2023 · 2 citations
Transferable Graph Neural Fingerprint Models for Quick Response to Future Bio-Threats
2023 · 2 citations
Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models
2025 · 1 citations
DeepDriveMD: Deep-Learning Driven Adaptive Molecular Simulations for Protein Folding
2019 · 1 citations
Artificial intelligence techniques for integrative structural biology of intrinsically disordered proteins
2020
Coupling streaming AI and HPC ensembles to achieve 100-1000x faster biomolecular simulations
2021
Top co-authors
Austin Clyde
· 5
Ian Foster
· 3
Rick Stevens
· 3
Shantenu Jha
· 3
Alexander Brace
· 2
Alvaro Velasquez
· 2
Anima Anandkumar
· 2
Heng Ma
· 2
Hyungro Lee
· 2
Matteo Turilli
· 2
Rickard Ewetz
· 2
Shinjae Yoo
· 2
Topics
Protein Science
Chemistry
Medical AI
Drug Discovery
Physics ML
Genomics