Mohamad Moosavi

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Berend SmitEcole Polytechnique Fédérale de Lausanne (EPFL)Adresse e-mail validée de epfl.ch
Kevin Maik JablonkaFSU Jena & HIPOLE JenaAdresse e-mail validée de uni-jena.de
Daniele OngariData Scientist @ SYENSQO | PhD & PostDoc from EPFL | ChemEng from PoliMIAdresse e-mail validée de syensqo.com
Peter G. BoydÉcole polytechnique fédérale de LausanneAdresse e-mail validée de epfl.ch
Yongjin LeeInha UniversityAdresse e-mail validée de inha.ac.kr
Susana GarciaHeriot-Watt UniversityAdresse e-mail validée de hw.ac.uk
Kyriakos StylianouOregon State UniversityAdresse e-mail validée de oregonstate.edu
Senja BarthelVrije Universiteit AmsterdamAdresse e-mail validée de vu.nl
Wendy L. QueenAssitant Professor of Chemical Engineering, EPFLAdresse e-mail validée de epfl.ch
Li Peng (彭丽)Xiamen University / 厦门大学Adresse e-mail validée de xmu.edu.cn
Jeffrey A. REIMERProfessor of Chemical Engineering, University of California BerkeleyAdresse e-mail validée de berkeley.edu
Lev SarkisovProfessor, Department of Chemical Engineering, the University of ManchesterAdresse e-mail validée de manchester.ac.uk
Davide M ProserpioUniversità degli Studi di Milano, Dipartimento di Chimica (Italy)Adresse e-mail validée de unimi.it
Leopold TalirzSchott AGAdresse e-mail validée de microsoft.com
Heather J. KulikChemical Engineering and Chemistry, Massachusetts Institute of TechnologyAdresse e-mail validée de mit.edu
Aditya NandySchmidt AI in Science Fellow at UChicago and Incoming Assistant Professor at UCLA (2025)Adresse e-mail validée de ucla.edu
Rocío MercadoChalmers University of TechnologyAdresse e-mail validée de chalmers.se
Noe FrankMicrosoft ResearchAdresse e-mail validée de fu-berlin.de
Sophia HaussenerEPFLAdresse e-mail validée de epfl.ch
Andrew I. CooperUniversity of LiverpoolAdresse e-mail validée de liv.ac.uk

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Mohamad Moosavi

Autres nomsSeyed Mohamad Moosavi, S. Mohamad Moosavi, Seyed M. Moosavi

Assistant Professor, University of Toronto

Adresse e-mail validée de utoronto.ca

Materials Discovery Machine Learning Molecular Simulation CO2 Capture Porous Materials


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Data-driven design of metal–organic frameworks for wet flue gas CO₂ capture PG Boyd, A Chidambaram, E García-Díez, CP Ireland, TD Daff, R Bounds, ... Nature 576 (7786), 253-256, 2019	501	2019
Rapid, selective heavy metal removal from water by a metal–organic framework/polydopamine composite DT Sun, L Peng, WS Reeder, SM Moosavi, D Tiana, DK Britt, E Oveisi, ... ACS central science 4 (3), 349-356, 2018	371	2018
Understanding the diversity of the metal-organic framework ecosystem SM Moosavi, A Nandy, KM Jablonka, D Ongari, JP Janet, PG Boyd, Y Lee, ... Nature Communications 11, 4068, 2020	366	2020
Big-data science in porous materials: materials genomics and machine learning KM Jablonka, D Ongari, SM Moosavi, B Smit Chemical reviews 120 (16), 8066-8129, 2020	345	2020
Quantifying similarity of pore-geometry in nanoporous materials Y Lee, SD Barthel, P Dłotko, SM Moosavi, K Hess, B Smit Nature communications 8 (1), 1-8, 2017	252	2017
The role of machine learning in the understanding and design of materials SM Moosavi, KM Jablonka, B Smit Journal of the American Chemical Society 142 (48), 20273-20287, 2020	231	2020
Force-field prediction of materials properties in metal-organic frameworks PG Boyd, SM Moosavi, M Witman, B Smit The journal of physical chemistry letters 8 (2), 357-363, 2017	215	2017
Capturing chemical intuition in synthesis of metal-organic frameworks SM Moosavi, A Chidambaram, L Talirz, M Haranczyk, KC Stylianou, ... Nature communications 10 (1), 539, 2019	195	2019
Generating carbon schwarzites via zeolite-templating E Braun, Y Lee, SM Moosavi, S Barthel, R Mercado, IA Baburin, ... Proceedings of the National Academy of Sciences 115 (35), E8116-E8124, 2018	126	2018
Anomalous effects of velocity rescaling algorithms: the flying ice cube effect revisited E Braun, SM Moosavi, B Smit Journal of chemical theory and computation 14 (10), 5262-5272, 2018	110	2018
SELFIES and the future of molecular string representations M Krenn, Q Ai, S Barthel, N Carson, A Frei, NC Frey, P Friederich, ... Patterns 3 (10), 2022	86	2022
Improving the Mechanical Stability of Metal–Organic Frameworks Using Chemical Caryatids SM Moosavi, PG Boyd, L Sarkisov, B Smit ACS Central Science, 2018	86	2018
Preserving porosity of mesoporous metal–organic frameworks through the introduction of polymer guests L Peng, S Yang, S Jawahery, SM Moosavi, AJ Huckaba, M Asgari, ... Journal of the American Chemical Society 141 (31), 12397-12405, 2019	81	2019
High-throughput screening approach for nanoporous materials genome using topological data analysis: application to zeolites Y Lee, SD Barthel, P Dłotko, SM Moosavi, K Hess, B Smit Journal of chemical theory and computation 14 (8), 4427-4437, 2018	70	2018
Toward smart carbon capture with machine learning M Rahimi, SM Moosavi, B Smit, TA Hatton Cell reports physical science 2 (4), 2021	69	2021
A data-science approach to predict the heat capacity of nanoporous materials SM Moosavi, BÁ Novotny, D Ongari, E Moubarak, M Asgari, Ö Kadioglu, ... Nature materials 21 (12), 1419-1425, 2022	55	2022
Diversifying databases of metal organic frameworks for high-throughput computational screening S Majumdar, SM Moosavi, KM Jablonka, D Ongari, B Smit ACS applied materials & interfaces 13 (51), 61004-61014, 2021	53	2021
Using collective knowledge to assign oxidation states of metal cations in metal–organic frameworks KM Jablonka, D Ongari, SM Moosavi, B Smit Nature Chemistry, 1-7, 2021	52*	2021
Biporous Metal–Organic Framework with Tunable CO₂/CH₄ Separation Performance Facilitated by Intrinsic Flexibility A Gładysiak, KS Deeg, I Dovgaliuk, A Chidambaram, K Ordiz, PG Boyd, ... ACS applied materials & interfaces 10 (42), 36144-36156, 2018	36	2018
Transport characteristics of saturated gas diffusion layers treated with hydrophobic coatings SM Moosavi, M Niffeler, J Gostick, S Haussener Chemical Engineering Science 176, 503-514, 2018	34	2018

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