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Seyed Mohamad Moosavi

Assistant Professor

University of Toronto

Canada

Research Interests

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Professors in Canada

Articles (20)

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Collaborators (21)

Kevin Maik Jablonka

Research group leader

Friedrich Schiller University Jena

GERMANY

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Sohrab Rohani

Professor

Western University

CANADA

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Tanja Junkers

Professor

MONASH UNIVERSITY

AUSTRALIA

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Seoin Back

Assistant Professor

Korea University

SOUTH KOREA

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Aditya Nandy

Assistant Professor of Chemical and Biomolecular Engineering

University of California, Los Angeles

UNITED STATES

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María Victoria Gil

Agencia Estatal Consejo Superior de Investigaciones Científicas

SPAIN

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Geun Ho Gu

Assistant Professor

Korea Institute of Energy Technology (KENTECH)

SOUTH KOREA

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Ganna Gryn'ova

Associate Professor of Computational Chemistry

University of Birmingham

UNITED KINGDOM

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Andy Sode Anker

Tenure Track Assistant Professor

Technical University of Denmark

DENMARK

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Elena Simone

Docenti di ruolo di IIa fascia

Politecnico di Torino

ITALY

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Joan Cordiner

University of Sheffield

UNITED KINGDOM

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Jin-Yu Wang

Heriot-Watt University

UNITED KINGDOM

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Amir Mohammad Elahi

EPFL (École Polytechnique Fédérale de Lausanne)

SWITZERLAND

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Jason Hein

Associate Professor

University of Bergen

NORWAY

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Tejs Vegge

Professor, Director at Technical University of Denmark

Technical University of Denmark

DENMARK

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Berend Smit

Professor

École Polytechnique Fédérale de Lausanne

SWITZERLAND

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Yeonghun Kang

Assistant Professor

Sungkyunkwan University

SOUTH KOREA

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Kedar Hippalgaonkar

Assistant Professor

Nanyang Technological University (NTU)

SINGAPORE

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Susana Garcia

Heriot-Watt University

UNITED KINGDOM

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Robert Wexler

Assistant Professor

Washington University in St. Louis

UNITED STATES

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Peyman Z. Moghadam

Associate Professor

University College London

UNITED KINGDOM

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Seyed Mohamad Moosavi

Research Interests

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Articles (20)

The rise of generative AI for metal-organic framework design and synthesis

A Multimodal Semi-Supervised Learning Framework for Pharmaceutical Cocrystals Prediction

Trajectory forecasting lifts the femtosecond ceiling in molecular simulation

A Modular Self-Driving Laboratory for Automated Synthesis of CsPb(Cl/Br/I)3 Perovskite Nanocrystals

MOFSimBench: evaluating universal machine learning interatomic potentials in metal-organic framework molecular modeling

Physics-informed machine learning for predicting temperature-dependent chemical properties

Assessment of fine-tuned large language models for real-world chemistry and material science applications

MOF-ChemUnity: Literature-Informed Large Language Models for Metal–Organic Framework Research

Connecting metal-organic framework synthesis to applications using multimodal machine learning

Periodic GFN1-xTB Tight Binding: A Generalized Ewald Partitioning Scheme for the Klopman–Ohno Function

Adaptive representation of molecules and materials in Bayesian optimization

CoRE MOF DB: A curated experimental metal-organic framework database with machine-learned properties for integrated material-process screening

Metric-based evaluation of electric vehicle battery immersion coolants

Accelerated chemical science with AI

A holistic platform for accelerating sorbent-based carbon capture

Agent-based learning of materials datasets from the scientific literature

Inverse design of porous materials: a diffusion model approach

A Robust Framework for Generating Adsorption Isotherms to Screen Materials for Carbon Capture

DigiMOF: a database of metal–organic framework synthesis information generated via text mining

Design of New Inorganic Crystals with the Desired Composition Using Deep Learning

Collaborators (21)

Kevin Maik Jablonka

Sohrab Rohani

Tanja Junkers

Seoin Back

Aditya Nandy

María Victoria Gil

Geun Ho Gu

Ganna Gryn'ova

Andy Sode Anker

Elena Simone

Joan Cordiner

Jin-Yu Wang

Amir Mohammad Elahi

Jason Hein

Tejs Vegge

Berend Smit

Yeonghun Kang

Kedar Hippalgaonkar

Susana Garcia

Robert Wexler

Peyman Z. Moghadam

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