Huziel E. Sauceda
Technische Universität Berlin
H-index: 18
Europe-Germany
Top articles of Huziel E. Sauceda
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Intercavity polariton slows down dynamics in strongly coupled cavities | Nature Communications | Yesenia A García Jomaso Brenda Vargas David Ley Domínguez Román J Armenta-Rico Huziel E Sauceda | 2024/4/4 |
Flatband slows down polariton dynamics in strongly coupled cavities | arXiv preprint arXiv:2309.04544 | Yesenia A García Jomaso Brenda Vargas David Ley Domínguez Román Armenta Huziel E Sauceda | 2023/9/8 |
Interpolating Nonadiabatic Molecular Dynamics Hamiltonian with Bidirectional Long Short-Term Memory Networks | The Journal of Physical Chemistry Letters | Bipeng Wang Ludwig Winkler Yifan Wu Klaus-Robert Müller Huziel E Sauceda | 2023/8/2 |
Accurate global machine learning force fields for molecules with hundreds of atoms | Science Advances | Stefan Chmiela Valentin Vassilev-Galindo Oliver T Unke Adil Kabylda Huziel E Sauceda | 2023 |
A Perspective on the Use of Physics-Inspired Machine-Learned Molecular Force Fields on Battery Physics | Electrochemical Society Meeting Abstracts 244 | Huziel E Sauceda | 2023/12/22 |
High-fidelity molecular dynamics trajectory reconstruction with bi-directional neural networks | Machine Learning: Science and Technology | Ludwig Winkler Klaus-Robert Mueller Huziel E Sauceda | 2022/5/11 |
Size evolution of characteristic acoustic oscillations of fullerenes and its connection to continuum elasticity theory | The European Physical Journal D | Jesús N Pedroza-Montero Ignacio L Garzón Huziel E Sauceda | 2022/7 |
BIGDML—Towards accurate quantum machine learning force fields for materials | Nature communications | Huziel E Sauceda Luis E Gálvez-González Stefan Chmiela Lauro Oliver Paz-Borbón Klaus-Robert Müller | 2022/6/29 |
On the forbidden wave numbers in the out-of-plane optical phonon (ZO) branch in carbon fullerenes | APS March Meeting Abstracts | Jesús Pedroza-Montero Ignacio Garzón Huziel Sauceda | 2021 |
BIGDML: Efficient Gradient-Domain Machine Learning Force Fields for Materials | Bulletin of the American Physical Society | Huziel Sauceda Luis Eduardo Gálvez-González Stefan Chmiela Lauro Oliver Paz-Borbón Klaus-Robert Müller | 2021/3/15 |
SpookyNet: Learning force fields with electronic degrees of freedom and nonlocal effects | Nature Communications | Oliver T Unke Stefan Chmiela Michael Gastegger Kristof T Schütt Huziel E Sauceda | 2021/5/1 |
Accurate and Efficient ML Force Fields for Hundreds of Atoms | APS March Meeting Abstracts | Stefan Chmiela Valentin Vassilev Galindo Huziel Sauceda Klaus-Robert Muller Alexandre Tkatchenko | 2021 |
On the forbidden graphene's ZO (out-of-plane optic) phononic band-analog vibrational modes in fullerenes | Communications Chemistry | Jesús N Pedroza-Montero Ignacio L Garzón Huziel E Sauceda | 2021/1/10 |
Machine learning force fields | Oliver T Unke Stefan Chmiela Huziel E Sauceda Michael Gastegger Igor Poltavsky | 2021/3/11 | |
Dynamical strengthening of covalent and non-covalent molecular interactions by nuclear quantum effects at finite temperature | Nature Communications | Huziel E Sauceda Valentin Vassilev-Galindo Stefan Chmiela Klaus-Robert Müller Alexandre Tkatchenko | 2021/1/19 |
Addressing the Elephant in the Room: Uncertainties in Physical Predictions From Machine-Learned Force Fields | Bulletin of the American Physical Society | Stefan Chmiela Huziel Sauceda Klaus-Robert Müller Alexandre Tkatchenko | 2020/3/3 |
Accurate and Data-Efficient Machine Learning Force Fields for Periodic Systems | Bulletin of the American Physical Society | Luis Gálvez-González Huziel Sauceda Stefan Chmiela Alvaro Posada-Amarillas Lauro Oliver Paz-Borbón | 2020/3/3 |
Accurate molecular dynamics enabled by efficient physically constrained machine learning approaches | Machine Learning Meets Quantum Physics | Stefan Chmiela Huziel E Sauceda Alexandre Tkatchenko Klaus-Robert Müller | 2020 |
Molecular force fields with gradient-domain machine learning (GDML): Comparison and synergies with classical force fields | The Journal of Chemical Physics | Huziel E Sauceda Michael Gastegger Stefan Chmiela Klaus-Robert Müller Alexandre Tkatchenko | 2020/9/28 |
Construction of machine learned force fields with quantum chemical accuracy: Applications and chemical insights | Machine Learning Meets Quantum Physics | Huziel E Sauceda Stefan Chmiela Igor Poltavsky Klaus-Robert Müller Alexandre Tkatchenko | 2020 |
Co-Authors
