Seyed Mohamad Moosavi

Swiss Federal Institute of Technology (EPFL) 
Molecular simulation
"Seyed Mohamad Moosavi"
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Moubarak E, Moosavi SM, Charalambous C, et al. (2023) A Robust Framework for Generating Adsorption Isotherms to Screen Materials for Carbon Capture. Industrial & Engineering Chemistry Research. 62: 10252-10265
Glasby LT, Gubsch K, Bence R, et al. (2023) DigiMOF: A Database of Metal-Organic Framework Synthesis Information Generated via Text Mining. Chemistry of Materials : a Publication of the American Chemical Society. 35: 4510-4524
Domingues NP, Moosavi SM, Talirz L, et al. (2022) Using genetic algorithms to systematically improve the synthesis conditions of Al-PMOF. Communications Chemistry. 5: 170
Krenn M, Ai Q, Barthel S, et al. (2022) SELFIES and the future of molecular string representations. Patterns (New York, N.Y.). 3: 100588
Moosavi SM, Novotny BÁ, Ongari D, et al. (2022) A data-science approach to predict the heat capacity of nanoporous materials. Nature Materials
Majumdar S, Moosavi SM, Jablonka KM, et al. (2021) Diversifying Databases of Metal Organic Frameworks for High-Throughput Computational Screening. Acs Applied Materials & Interfaces
Jablonka KM, Ongari D, Moosavi SM, et al. (2021) Using collective knowledge to assign oxidation states of metal cations in metal-organic frameworks. Nature Chemistry
Jablonka KM, Moosavi SM, Asgari M, et al. (2020) A data-driven perspective on the colours of metal-organic frameworks. Chemical Science. 12: 3587-3598
Moosavi SM, Xu H, Chen L, et al. (2020) Geometric landscapes for material discovery within energy-structure-function maps. Chemical Science. 11: 5423-5433
Moosavi SM, Jablonka KM, Smit B. (2020) The Role of Machine Learning in the Understanding and Design of Materials. Journal of the American Chemical Society
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