Seyed Mohamad Moosavi

According to our database, Seyed Mohamad Moosavi authored at least 4 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

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

Seunghee Han, Jaewan Lee, Sehui Han, Seyed Mohamad Moosavi, Jihan Kim, Changyoung Park

J. Chem. Inf. Model., September, 2023

Agent-based Learning of Materials Datasets from Scientific Literature.

Mehrad Ansari, Seyed Mohamad Moosavi

CoRR, 2023

2022

SELFIES and the future of molecular string representations.

Mario Krenn, Qianxiang Ai, Senja Barthel, Nessa Carson, Angelo Frei, Nathan C. Frey, Pascal Friederich, Théophile Gaudin, Alberto Alexander Gayle, Kevin Maik Jablonka, Rafael F. Lameiro, Dominik Lemm, Alston Lo, Seyed Mohamad Moosavi, José Manuel Nápoles-Duarte, AkshatKumar Nigam, Robert Pollice, Kohulan Rajan, Ulrich Schatzschneider, Philippe Schwaller, Marta Skreta, Berend Smit, Felix Strieth-Kalthoff, Chong Sun, Gary Tom, Guido Falk von Rudorff, Andrew Wang, Andrew D. White, Adamo Young, Rose Yu, Alán Aspuru-Guzik

Patterns, 2022

2020

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning.

Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, Berend Smit

CoRR, 2020