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Seyed Mohamad Moosavi
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2020 – today
- 2023
- [j2]Seunghee Han, Jaewan Lee, Sehui Han, Seyed Mohamad Moosavi, Jihan Kim, Changyoung Park:
Design of New Inorganic Crystals with the Desired Composition Using Deep Learning. J. Chem. Inf. Model. 63(18): 5755-5763 (2023) - [i3]Mehrad Ansari, Seyed Mohamad Moosavi:
Agent-based Learning of Materials Datasets from Scientific Literature. CoRR abs/2312.11690 (2023) - 2022
- [j1]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:
SELFIES and the future of molecular string representations. Patterns 3(10): 100588 (2022) - [i2]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:
SELFIES and the future of molecular string representations. CoRR abs/2204.00056 (2022) - 2020
- [i1]Kevin Maik Jablonka, Daniele Ongari, Seyed Mohamad Moosavi, Berend Smit:
Big-Data Science in Porous Materials: Materials Genomics and Machine Learning. CoRR abs/2001.06728 (2020)
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