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Nature Communications
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July 2, 2025
Connecting metal-organic framework synthesis to applications using multimodal machine learning
Sartaaj Takrim Khan, Seyed Mohamad Moosavi
Npj Computational Materials
|
January 9, 2026
MOFSimBench: evaluating universal machine learning interatomic potentials in metal-organic framework molecular modeling
Hendrik Kraß, Ju Huang, Seyed Mohamad Moosavi
Journal of Chemical Theory and Computation
|
August 4, 2018
Anomalous Effects of Velocity Rescaling Algorithms: The Flying Ice Cube Effect Revisited
Efrem Braun, Seyed Mohamad Moosavi, Berend Smit
Addiction & Health
|
December 17, 2019
Effects of Modafinil on Sleep Pattern during Methamphetamine Withdrawal: A Double-blind Randomized Controlled Trial
Seyed Mohamad Moosavi, Jamshid Yazdani-Charati, Fatemeh Amini
Journal of the American Chemical Society
|
November 10, 2020
The Role of Machine Learning in the Understanding and Design of Materials
Seyed Mohamad Moosavi, Kevin Maik Jablonka, Berend Smit
Chemical Reviews
|
June 11, 2020
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, et al.
The Journal of Physical Chemistry Letters
|
December 24, 2016
Force-Field Prediction of Materials Properties in Metal-Organic Frameworks
Peter G Boyd, Seyed Mohamad Moosavi, Matthew Witman, et al.
Nature Chemistry
|
July 6, 2021
Using collective knowledge to assign oxidation states of metal cations in metal-organic frameworks
Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, et al.
ACS Central Science
|
August 1, 2018
Improving the Mechanical Stability of Metal-Organic Frameworks Using Chemical Caryatids
Seyed Mohamad Moosavi, Peter G Boyd, Lev Sarkisov, et al.
Journal of Chemical Theory and Computation
|
May 15, 2019
Ab Initio Flexible Force Field for Metal-Organic Frameworks Using Dummy Model Coordination Bonds
Sudi Jawahery, Nakul Rampal, Seyed Mohamad Moosavi, et al.
Page
of 4
Search research articles
Search
Showing results (1-10 of 35) with videos related to
Sort By:
Page
of 4
Nature Communications
|
July 2, 2025
Connecting metal-organic framework synthesis to applications using multimodal machine learning
Sartaaj Takrim Khan, Seyed Mohamad Moosavi
Npj Computational Materials
|
January 9, 2026
MOFSimBench: evaluating universal machine learning interatomic potentials in metal-organic framework molecular modeling
Hendrik Kraß, Ju Huang, Seyed Mohamad Moosavi
Journal of Chemical Theory and Computation
|
August 4, 2018
Anomalous Effects of Velocity Rescaling Algorithms: The Flying Ice Cube Effect Revisited
Efrem Braun, Seyed Mohamad Moosavi, Berend Smit
Addiction & Health
|
December 17, 2019
Effects of Modafinil on Sleep Pattern during Methamphetamine Withdrawal: A Double-blind Randomized Controlled Trial
Seyed Mohamad Moosavi, Jamshid Yazdani-Charati, Fatemeh Amini
Journal of the American Chemical Society
|
November 10, 2020
The Role of Machine Learning in the Understanding and Design of Materials
Seyed Mohamad Moosavi, Kevin Maik Jablonka, Berend Smit
Chemical Reviews
|
June 11, 2020
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning
Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, et al.
The Journal of Physical Chemistry Letters
|
December 24, 2016
Force-Field Prediction of Materials Properties in Metal-Organic Frameworks
Peter G Boyd, Seyed Mohamad Moosavi, Matthew Witman, et al.
Nature Chemistry
|
July 6, 2021
Using collective knowledge to assign oxidation states of metal cations in metal-organic frameworks
Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, et al.
ACS Central Science
|
August 1, 2018
Improving the Mechanical Stability of Metal-Organic Frameworks Using Chemical Caryatids
Seyed Mohamad Moosavi, Peter G Boyd, Lev Sarkisov, et al.
Journal of Chemical Theory and Computation
|
May 15, 2019
Ab Initio Flexible Force Field for Metal-Organic Frameworks Using Dummy Model Coordination Bonds
Sudi Jawahery, Nakul Rampal, Seyed Mohamad Moosavi, et al.
Page
of 4