Huziel E. Sauceda - Concepedia

Author

Huziel E. Sauceda

Technische Universität Berlin ORCID

Also Known As

H. E. Sauceda, Huziel E Sauceda, Huziel E. Sauceda, Huziel Sauceda, Sauceda, Huziel E.

Publications

5.2K

Citations

H-Index

Concepts

All Affiliations

Technische Universität Berlin Universidad Nacional Autónoma de México Korea University University of Luxembourg Max Planck Institute for Informatics

About

Huziel E. Sauceda is an author at Technische Universität Berlin specializing in engineering, physics, and molecular dynamics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	7	7	820
2	Natural Sciences	6	6	774
3	Applied Physics	4	4	286
4	Chemistry	4	4	571
5	Materials Science	3	3	133

Huziel E. Sauceda

Publications

5.1K

Citations

H-Index

Page 1

	Year	Citations
SchNet – A deep learning architecture for molecules and materials Kristof T. Schütt, Huziel E. Sauceda, Pieter-Jan Kindermans, The Journal of Chemical Physics	2018	2.1K
Machine learning of accurate energy-conserving molecular force fields Stefan Chmiela, Alexandre Tkatchenko, Huziel E. Sauceda, Science Advances	2017	1.2K
SchNet: A continuous-filter convolutional neural network for modeling quantum interactions Kristof T. Schütt, Pieter-Jan Kindermans, Huziel E. Sauceda, arXiv (Cornell University) Total EnergyGeometric LearningEngineeringComputational ChemistryChemistry	2017	470
SchNet: A continuous-filter convolutional neural network for modeling\n quantum interactions Kristof T. Schütt, Pieter-Jan Kindermans, Huziel E. Sauceda, arXiv (Cornell University)	2017	336
SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects Oliver T. Unke, Stefan Chmiela, Michael Gastegger, Nature Communications	2021	293
sGDML: Constructing accurate and data efficient molecular force fields using machine learning Stefan Chmiela, Huziel E. Sauceda, Igor Poltavsky, Computer Physics Communications	2019	233
Accurate global machine learning force fields for molecules with hundreds of atoms Stefan Chmiela, Valentín Vassilev-Galindo, Oliver T. Unke, Science Advances EngineeringMolecular BiologyGlobal Sgdml FfComputational ChemistryAccurate Global Machine	2023	154
Mechanical Vibrations of Atomically Defined Metal Clusters: From Nano- to Molecular-Size Oscillators Paolo Maioli, Tatjana Stoll, Huziel E. Sauceda, Nano Letters	2018	77
Vibrational Properties of Metal Nanoparticles: Atomistic Simulation and Comparison with Time-Resolved Investigation Huziel E. Sauceda, Denis Mongin, Paolo Maioli, The Journal of Physical Chemistry C EngineeringNanoclusterMetal NanoparticlesAg NanoparticlesVibrational Properties	2012	72
BIGDML—Towards accurate quantum machine learning force fields for materials Huziel E. Sauceda, Luis E. Gálvez-González, Stefan Chmiela, Nature Communications	2022	68

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