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S. M. Moosavi

7 papers hereh-index 274.7k citations64 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author1

Across the 5 of 7 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci3
  • cs.LG3
  • cs.AI1

identity via Semantic Scholar / OpenAlex

most citedEvaluating Large Language Models in Scientific Discovery

1 citations · 1 across the 2 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

3 papers · 1 filter

cond-mat.mtrl-sci2026

From Knowledge to Action: Outcomes of the 2025 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry

Aritra Roy, Kevin Shen, Andrew MacBride +350

Large language models (LLMs) are rapidly changing how researchers in materials science and chemistry discover, organize, and act on scientific knowledge. This paper analyzes a broa…

cond-mat.mtrl-sci2025

The Rise of Generative AI for Metal-Organic Framework Design and Synthesis

Chenru Duan, Aditya Nandy, Shyam Chand Pal +17

Advances in generative artificial intelligence are transforming how metal-organic frameworks (MOFs) are designed and discovered. This Perspective introduces the shift from laboriou…

cond-mat.mtrl-sci2025

MOFSimBench: Evaluating Universal Machine Learning Interatomic Potentials In Metal--Organic Framework Molecular Modeling

Hendrik Kraß, Ju Huang, Seyed Mohamad Moosavi

Universal machine learning interatomic potentials (uMLIPs) have emerged as powerful tools for accelerating atomistic simulations, offering scalable and efficient modeling with accu…

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