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ACS Physical Chemistry Au
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March 1, 2023
Sparse Gaussian Process Regression-Based Machine Learned First-Principles Force-Fields for Saturated, Olefinic, and Aromatic Hydrocarbons
Miran Ha, Amir Hajibabaei, Saeed Pourasad, et al.
The Journal of Physical Chemistry Letters
|
May 14, 2021
Two Liquid-Liquid Phase Transitions in Confined Water Nanofilms
Saeed Pourasad, Amir Hajibabaei, Chang Woo Myung, et al.
Accounts of Chemical Research
|
December 22, 2025
Accelerating Materials Discovery Through Sparse Gaussian Process Machine Learning Potentials
Miran Ha, Saeed Pourasad, Chang Woo Myung, et al.
The Journal of Physical Chemistry. A
|
October 18, 2021
Machine Learning of First-Principles Force-Fields for Alkane and Polyene Hydrocarbons
Amir Hajibabaei, Miran Ha, Saeed Pourasad, et al.
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of 1
Search research articles
Search
Showing results (1-10 of 4) with videos related to
Sort By:
Page
of 1
ACS Physical Chemistry Au
|
March 1, 2023
Sparse Gaussian Process Regression-Based Machine Learned First-Principles Force-Fields for Saturated, Olefinic, and Aromatic Hydrocarbons
Miran Ha, Amir Hajibabaei, Saeed Pourasad, et al.
The Journal of Physical Chemistry Letters
|
May 14, 2021
Two Liquid-Liquid Phase Transitions in Confined Water Nanofilms
Saeed Pourasad, Amir Hajibabaei, Chang Woo Myung, et al.
Accounts of Chemical Research
|
December 22, 2025
Accelerating Materials Discovery Through Sparse Gaussian Process Machine Learning Potentials
Miran Ha, Saeed Pourasad, Chang Woo Myung, et al.
The Journal of Physical Chemistry. A
|
October 18, 2021
Machine Learning of First-Principles Force-Fields for Alkane and Polyene Hydrocarbons
Amir Hajibabaei, Miran Ha, Saeed Pourasad, et al.
Page
of 1