Publikationen von Huziel E. Sauceda
Alle Typen
Zeitschriftenartikel (7)
2021
Zeitschriftenartikel
H.E. Sauceda: On the forbidden graphene’s ZO (out-of-plane optic) phononic band-analog vibrational modes in fullerenes. Communications Chemistry 4, 103 (2021).
, und 2019
Zeitschriftenartikel
H.E. Sauceda, , und : sGDML: Constructing accurate and data efficient molecular force fields using machine learning. Computer Physics Communications 240, 38–45 (2019).
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Zeitschriftenartikel
Sauceda, H.E., , , und : Molecular force fields with gradient-domain machine learning: Construction and application to dynamics of small molecules with coupled cluster forces. The Journal of Chemical Physics 150 (11), 114102 (2019).
2018
Zeitschriftenartikel
H.E. Sauceda, und : Towards exact molecular dynamics simulations with machine-learned force fields. Nature Communications 9 (1), 3887 (2018).
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Zeitschriftenartikel
H.E. Sauceda, , , , , , , und : Mechanical Vibrations of Atomically Defined Metal Clusters: From Nano- to Molecular-Size Oscillators. Nano Letters 18 (11), 6842–6849 (2018).
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Zeitschriftenartikel
H.E. Sauceda, , und : SchNet – A deep learning architecture for molecules and materials. The Journal of Chemical Physics 148 (24), 241722 (2018).
, 2017
Zeitschriftenartikel
A. Tkatchenko, H.E. Sauceda, , und : Machine learning of accurate energy-conserving molecular force fields. Science Advances 3 (5), e1603015 (2017).
, Buchkapitel (1)
2020
Buchkapitel
Sauceda, H.E., , , und : Construction of Machine Learned Force Fields with Quantum Chemical Accuracy: Applications and Chemical Insights. In: Machine Learning Meets Quantum Physics. (Hrsg.): , , , , , und . (Lecture Notes in Physics, Vol. 968). Springer, Cham, 277–307 (2020).
Konferenzbeitrag (1)
2018
Konferenzbeitrag
H.E. Sauceda, , und : SchNet: A continuous-filter convolutional neural network for modeling quantum interactions. In: Advances in Neural Information Processing Systems. (Hrsg.): . Neural Information Processing Systems (NIPS) Foundation, La Jolla, CA, 992–1002 (2018).
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