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ACS Applied Materials & Interfaces
|
August 24, 2021
Retraction of "Promoting Noncovalent Intermolecular Interactions Using a C60 Core Particle in Aqueous PC60s-Covered Colloids for Ultraefficient Photoinduced Particle Activity"
Yu Jin Kim, Troy D Loeffler, Zhaowei Chen, et al.
The Journal of Physical Chemistry. B
|
June 21, 2018
Configurational-Bias Monte Carlo Back-Mapping Algorithm for Efficient and Rapid Conversion of Coarse-Grained Water Structures into Atomistic Models
Troy D Loeffler, Henry Chan, Badri Narayanan, et al.
ACS Applied Materials & Interfaces
|
April 9, 2024
Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals
Bilvin Varughese, Sukriti Manna, Troy D Loeffler, et al.
Nature Communications
|
January 24, 2019
Machine learning coarse grained models for water
Henry Chan, Mathew J Cherukara, Badri Narayanan, et al.
The Journal of Physical Chemistry Letters
|
February 17, 2022
Multi-reward Reinforcement Learning Based Bond-Order Potential to Study Strain-Assisted Phase Transitions in Phosphorene
Aditya Koneru, Rohit Batra, Sukriti Manna, et al.
Nature Chemistry
|
November 1, 2022
Machine learning overcomes human bias in the discovery of self-assembling peptides
Rohit Batra, Troy D Loeffler, Henry Chan, et al.
Nature Communications
|
January 19, 2022
Learning in continuous action space for developing high dimensional potential energy models
Sukriti Manna, Troy D Loeffler, Rohit Batra, et al.
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Search research articles
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Showing results (11-20 of 17) with videos related to
Sort By:
Page
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You have reached the last page of results.
This site can display upto 17 results.
ACS Applied Materials & Interfaces
|
August 24, 2021
Retraction of "Promoting Noncovalent Intermolecular Interactions Using a C60 Core Particle in Aqueous PC60s-Covered Colloids for Ultraefficient Photoinduced Particle Activity"
Yu Jin Kim, Troy D Loeffler, Zhaowei Chen, et al.
The Journal of Physical Chemistry. B
|
June 21, 2018
Configurational-Bias Monte Carlo Back-Mapping Algorithm for Efficient and Rapid Conversion of Coarse-Grained Water Structures into Atomistic Models
Troy D Loeffler, Henry Chan, Badri Narayanan, et al.
ACS Applied Materials & Interfaces
|
April 9, 2024
Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals
Bilvin Varughese, Sukriti Manna, Troy D Loeffler, et al.
Nature Communications
|
January 24, 2019
Machine learning coarse grained models for water
Henry Chan, Mathew J Cherukara, Badri Narayanan, et al.
The Journal of Physical Chemistry Letters
|
February 17, 2022
Multi-reward Reinforcement Learning Based Bond-Order Potential to Study Strain-Assisted Phase Transitions in Phosphorene
Aditya Koneru, Rohit Batra, Sukriti Manna, et al.
Nature Chemistry
|
November 1, 2022
Machine learning overcomes human bias in the discovery of self-assembling peptides
Rohit Batra, Troy D Loeffler, Henry Chan, et al.
Nature Communications
|
January 19, 2022
Learning in continuous action space for developing high dimensional potential energy models
Sukriti Manna, Troy D Loeffler, Rohit Batra, et al.
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of 2