Payel Das

Computer Science · Physical Sciences

35h-index4.2kcitations237works2.72yr avg
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Research Topics

Computational Drug Discovery Methods(41), Protein Structure and Dynamics(38), Machine Learning in Materials Science(29), Topic Modeling(22), Machine Learning in Bioinformatics(15)

Publications237 total

Interstellar Object 3I/ATLAS: A Dynamical Tracer for the Leo-Sector Nodal Mass (The Ketu Signature)
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Interstellar Object 3I/ATLAS: A Dynamical Tracer for the Leo-Sector Nodal Mass (The Ketu Signature)
Zenodo (CERN European Organization for Nuclear Research)·2026Open Access
Patching LLM Like Software: A Lightweight Method for Improving Safety Policy in Large Language Models
arXiv (Cornell University)·2025Open Access
From awareness to accessibility: decoding constraints to rural tourism among younger generations
Journal of Hospitality and Tourism Insights·2025
Artificial Intelligence in Spectroscopy: Advancing Chemistry from Prediction To Generation and Beyond
2025· 3 cited
A Deep Learning Framework using Attention Mechanism for Human Activity Recognition
2025
Property-driven localization and characterization in deep molecular representations
Scientific Reports·2025Open Access
Investigation of the synthesized CaFe2O4-polyaniline nanocomposite's adsorptive ability using its magnetic characteristics to remove methyl red dye
Sadhana·2025· 1 cited
AlphaFold distillation for inverse protein design
Scientific Reports·2025Open Access
Aligning Protein Conformation Ensemble Generation with Physical Feedback
arXiv (Cornell University)·2025Open Access
Effects of Swara Yoga-Based Nostril Breathing Techniques on Physiological Arousal Indicators in Adolescents: A Randomized Experimental Design
International Journal of Research Publication and Reviews·2025Open Access
Unveiling sustainable tourism themes with machine learning based topic modeling
Discover Sustainability·2025· 8 citedOpen Access
PEEL the Layers and Find Yourself: Revisiting Inference-Time Data Leakage for Residual Neural Networks
2025
PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks
arXiv (Cornell University)·2025Open Access
Author response for "Improving Structural Plausibility in Diffusion-Based 3D Molecule Generation via Property-Conditioned Training with Distorted Molecules"
2025
Can Memory-Augmented Language Models Generalize on Reasoning-in-a-Haystack Tasks?
arXiv (Cornell University)·2025Open Access
EpMAN: Episodic Memory AttentioN for Generalizing to Longer Contexts
arXiv (Cornell University)·2025Open Access
Author response for "Improving Structural Plausibility in Diffusion-Based 3D Molecule Generation via Property-Conditioned Training with Distorted Molecules"
2025
Author response for "Improving Structural Plausibility in Diffusion-Based 3D Molecule Generation via Property-Conditioned Training with Distorted Molecules"
2025
Challenges and applications of artificial intelligence in infectious diseases and antimicrobial resistance
npj Antimicrobials and Resistance·2025· 59 citedOpen Access
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Frequent Co-authors

Vijil Chenthamarakshan(12), Ruhong Zhou(9), Inkit Padhi(7), Samuel C. Hoffman(6), Youssef Mroueh(5), Pin‐Yu Chen(5), Animesh Debnath(5), Lydia E. Kavraki(4), Cecilia Clementi(4), Georges Belfort(4), Jerret Ross(3), Amit Dhurandhar(3), Matteo Manica(3), Jannis Born(3), Eleni Litsa(3), Brian Belgodere(2), Ronny Luss(2), Chun‐Chen Tu(2), Paishun Ting(2), Karthikeyan Shanmugam(2)