3 citations · 7 across the 4 of their papers we have counts for
4 papers
Material Database Agent: A Multimodal Agentic Framework for Scientific Literature Mining
Achuth Chandrasekhar, Omid Barati Farimani, Radheesh Sharma Meda +1
Materials science workflows rely on structured and unstructured data from the vast body of available scientific literature. However, most of the experimental details remain buried…
Large Language Model Agent for Modular Task Execution in Drug Discovery
Janghoon Ock, Radheesh Sharma Meda, Srivathsan Badrinarayanan +3
We present a modular framework powered by large language models (LLMs) that automates and streamlines key tasks across the early-stage computational drug discovery pipeline. By com…
MOFGPT: Generative Design of Metal-Organic Frameworks using Language Models
Srivathsan Badrinarayanan, Rishikesh Magar, Akshay Antony +2
The discovery of Metal-Organic Frameworks (MOFs) with application-specific properties remains a central challenge in materials chemistry, owing to the immense size and complexity o…
BAPULM: Binding Affinity Prediction using Language Models
Radheesh Sharma Meda, Amir Barati Farimani
Identifying drug-target interactions is essential for developing effective therapeutics. Binding affinity quantifies these interactions, and traditional approaches rely on computat…