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Machine learning based energy-free structure predictions of molecules, transition states, and solids
2021
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The Journal of chemical physics, 2020-11, Vol.153 (19), p.194101-194101
2020
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Machine learning: science and technology, 2023-12, Vol.4 (4), p.45043
2023
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The Journal of chemical physics, 2022-07, Vol.157 (2), p.024303-024303
2022
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Protein science, 2023-01, Vol.32 (1), p.e4516-n/a
2023
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Journal of molecular biology, 2020-06, Vol.432 (13), p.3898-3914
2020
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Patterns (New York, N.Y.), 2022-10, Vol.3 (10), p.100588-100588, Article 100588
- Krenn, Mario
- Ai, Qianxiang
- Barthel, Senja
- Carson, Nessa
- Frei, Angelo
- Frey, Nathan C.
- Friederich, Pascal
- Gaudin, Théophile
- Gayle, Alberto Alexander
- Jablonka, Kevin Maik
- Lameiro, Rafael F.
- Lemm, Dominik
- Lo, Alston
- Moosavi, Seyed Mohamad
- Nápoles-Duarte, José Manuel
- Nigam, AkshatKumar
- Pollice, Robert
- Rajan, Kohulan
- Schatzschneider, Ulrich
- Schwaller, Philippe
- Skreta, Marta
- Smit, Berend
- Strieth-Kalthoff, Felix
- Sun, Chong
- Tom, Gary
- Falk von Rudorff, Guido
- Wang, Andrew
- White, Andrew D.
- Young, Adamo
- Yu, Rose
- Aspuru-Guzik, Alán
2022
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Digital discovery, 2024-01, Vol.3 (1), p.136-144
2024
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Antimicrobial agents and chemotherapy, 2022-06, Vol.66 (6), p.e0158821-e0158821
2022
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Medical image analysis, 2024-10, Vol.97, p.103230, Article 103230
- Boulogne, Luuk H.
- Lorenz, Julian
- Kienzle, Daniel
- Schön, Robin
- Ludwig, Katja
- Lienhart, Rainer
- Jégou, Simon
- Li, Guang
- Chen, Cong
- Wang, Qi
- Shi, Derik
- Maniparambil, Mayug
- Müller, Dominik
- Mertes, Silvan
- Schröter, Niklas
- Hellmann, Fabio
- Elia, Miriam
- Dirks, Ine
- Bossa, Matías Nicolás
- Berenguer, Abel Díaz
- Mukherjee, Tanmoy
- Vandemeulebroucke, Jef
- Sahli, Hichem
- Deligiannis, Nikos
- Gonidakis, Panagiotis
- Huynh, Ngoc Dung
- Razzak, Imran
- Bouadjenek, Reda
- Verdicchio, Mario
- Borrelli, Pasquale
- Aiello, Marco
- Meakin, James A.
- Lemm, Alexander
- Russ, Christoph
- Ionasec, Razvan
- Paragios, Nikos
- van Ginneken, Bram
- Revel, Marie-Pierre
2024
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