Seyed Mohamad Moosavi

University of Toronto — Canada

Materials Science · Physical Sciences

29h-index5.0kcitations125works9.02yr avg
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Research Topics

Machine Learning in Materials Science(48), X-ray Diffraction in Crystallography(43), Metal-Organic Frameworks: Synthesis and Applications(38), Crystallization and Solubility Studies(31), Computational Drug Discovery Methods(18)

Publications125 total

MOFSimBench: evaluating universal machine learning interatomic potentials in metal-organic framework molecular modeling
npj Computational Materials·2025· 4 citedOpen Access
MOF-ChemUnity: Literature-Informed Large Language Models for Metal–Organic Framework Research
Journal of the American Chemical Society·2025· 5 citedOpen Access
Metric-based evaluation of electric vehicle battery immersion coolants
Journal of Energy Storage·2025· 1 cited
Simulation-Based Data Augmentation for Apple Leaf Disease Using Statistical Moments and HSV Color Features
2025
32 examples of LLM applications in materials science and chemistry: towards automation, assistants, agents, and accelerated scientific discovery
Machine Learning Science and Technology·2025· 5 citedOpen Access
The Rise of Generative AI for Metal-Organic Framework Design and Synthesis
ArXiv.org·2025Open Access
Development of a Deep Neural Network Model for Predicting Operational Parameters in Plate Forming via Line Heating
International Journal of Maritime Technology·2025Open Access
MOFSimBench: Evaluating Universal Machine Learning Interatomic Potentials In Metal--Organic Framework Molecular Modeling
arXiv (Cornell University)·2025Open Access
Connecting metal-organic framework synthesis to applications using multimodal machine learning
Nature Communications·2025· 15 citedOpen Access
CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction
arXiv (Cornell University)·2025Open Access
Thermodynamics-informed machine learning for predicting temperature-dependent chemical properties
2025Open Access
MOF-ChemUnity: Unifying metal-organic framework data using large language models
2025Open Access
A Fully-CMOS Spiking LIF Neuron Implementation for Optimized STDP Learning on Memristor
2025Open Access
CoRE MOF DB: A curated experimental metal-organic framework database with machine-learned properties for integrated material-process screening
Matter·2025· 48 cited
34 Examples of LLM Applications in Materials Science and Chemistry: Towards Automation, Assistants, Agents, and Accelerated Scientific Discovery
arXiv (Cornell University)·2025Open Access
Periodic GFN1-xTB Tight Binding: A Generalized Ewald Partitioning Scheme for the Klopman–Ohno Function
Journal of Chemical Theory and Computation·2025· 2 citedOpen Access
Author response for "Adaptive Representation of Molecules and Materials in Bayesian Optimization"
2025
Adaptive representation of molecules and materials in Bayesian optimization
Chemical Science·2025· 6 citedOpen Access
Crossing the Valley of Death: A Holistic Approach to Assess the Potential of Sorbent-Based Carbon Capture Technologies
SSRN Electronic Journal·2025Open Access
Assessment of fine-tuned large language models for real-world chemistry and material science applications
Chemical Science·2024· 38 citedOpen Access
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Frequent Co-authors

Berend Smit(36), Kevin Maik Jablonka(15), Daniele Ongari(10), Susana García(7), Peter G. Boyd(6), Mehrdad Asgari(6), Christopher P. Ireland(5), Yongjin Lee(5), Senja Barthel(5), Elias Moubarak(5), Charithea Charalambous(5), Kyriakos C. Stylianou(4), Philippe Schwaller(4), Lev Sarkisov(4), Arunraj Chidambaram(3), Andrzej Gładysiak(3), Jeffrey A. Reimer(3), Heather J. Kulik(3), Leopold Talirz(3), Sauradeep Majumdar(3)