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The Journal of Physical Chemistry Letters
|
August 22, 2023
Four-Dimensional-Spacetime Atomistic Artificial Intelligence Models
Fuchun Ge, Lina Zhang, Yi-Fan Hou, et al.
The Journal of Physical Chemistry Letters
|
January 3, 2025
ANI-1ccx-gelu Universal Interatomic Potential and Its Fine-Tuning: Toward Accurate and Efficient Anharmonic Vibrational Frequencies
Seyedeh Fatemeh Alavi, Yuxinxin Chen, Yi-Fan Hou, et al.
Npj Computational Materials
|
May 16, 2025
Charting electronic-state manifolds across molecules with multi-state learning and gap-driven dynamics via efficient and robust active learning
Mikołaj Martyka, Lina Zhang, Fuchun Ge, et al.
Food Chemistry
|
February 13, 2021
Identification and antioxidant activity of bovine bone collagen-derived novel peptides prepared by recombinant collagenase from Bacillus cereus
Yihang Song, Yousi Fu, Shiyang Huang, et al.
Topics in Current Chemistry (Cham)
|
June 8, 2021
MLatom 2: An Integrative Platform for Atomistic Machine Learning
Pavlo O Dral, Fuchun Ge, Bao-Xin Xue, et al.
The Journal of Physical Chemistry Letters
|
April 16, 2024
Tell Machine Learning Potentials What They Are Needed For: Simulation-Oriented Training Exemplified for Glycine
Fuchun Ge, Ran Wang, Chen Qu, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|
January 20, 2023
Interpretable Machine Learning of Two-Photon Absorption
Yuming Su, Yiheng Dai, Yifan Zeng, et al.
Journal of Chemical Theory and Computation
|
June 5, 2024
MLatom Software Ecosystem for Surface Hopping Dynamics in Python with Quantum Mechanical and Machine Learning Methods
Lina Zhang, Sebastian V Pios, Mikołaj Martyka, et al.
Journal of Chemical Theory and Computation
|
January 25, 2024
MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows
Pavlo O Dral, Fuchun Ge, Yi-Fan Hou, et al.
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of 2
Search research articles
Search
Showing results (11-20 of 19) with videos related to
Sort By:
Page
of 2
You have reached the last page of results.
This site can display upto 19 results.
The Journal of Physical Chemistry Letters
|
August 22, 2023
Four-Dimensional-Spacetime Atomistic Artificial Intelligence Models
Fuchun Ge, Lina Zhang, Yi-Fan Hou, et al.
The Journal of Physical Chemistry Letters
|
January 3, 2025
ANI-1ccx-gelu Universal Interatomic Potential and Its Fine-Tuning: Toward Accurate and Efficient Anharmonic Vibrational Frequencies
Seyedeh Fatemeh Alavi, Yuxinxin Chen, Yi-Fan Hou, et al.
Npj Computational Materials
|
May 16, 2025
Charting electronic-state manifolds across molecules with multi-state learning and gap-driven dynamics via efficient and robust active learning
Mikołaj Martyka, Lina Zhang, Fuchun Ge, et al.
Food Chemistry
|
February 13, 2021
Identification and antioxidant activity of bovine bone collagen-derived novel peptides prepared by recombinant collagenase from Bacillus cereus
Yihang Song, Yousi Fu, Shiyang Huang, et al.
Topics in Current Chemistry (Cham)
|
June 8, 2021
MLatom 2: An Integrative Platform for Atomistic Machine Learning
Pavlo O Dral, Fuchun Ge, Bao-Xin Xue, et al.
The Journal of Physical Chemistry Letters
|
April 16, 2024
Tell Machine Learning Potentials What They Are Needed For: Simulation-Oriented Training Exemplified for Glycine
Fuchun Ge, Ran Wang, Chen Qu, et al.
Advanced Science (Weinheim, Baden-Wurttemberg, Germany)
|
January 20, 2023
Interpretable Machine Learning of Two-Photon Absorption
Yuming Su, Yiheng Dai, Yifan Zeng, et al.
Journal of Chemical Theory and Computation
|
June 5, 2024
MLatom Software Ecosystem for Surface Hopping Dynamics in Python with Quantum Mechanical and Machine Learning Methods
Lina Zhang, Sebastian V Pios, Mikołaj Martyka, et al.
Journal of Chemical Theory and Computation
|
January 25, 2024
MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows
Pavlo O Dral, Fuchun Ge, Yi-Fan Hou, et al.
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