Henry Chan

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Molecular Dynamics Simulations

Machine Learning

High Temperature

Transition Metal

Top Venues

Nature communications

The journal of physical chemistry. A

The journal of physical chemistry letters

This page only lists publications with an associated author ORCID identifier.

Publications

Aditya Koneru, Henry Chan, Sukriti Manna, Suvo Banik, Valeria Molinero, Subramanian K R S Sankaranarayanan
Machine Learning a Simple Interpretable Short-Range Potential for Silica. Journal of chemical theory and computation (2024)
Aditya Koneru, Adil Muhammed, Karthik Balasubramanian, Kiran Sasikumar, Sukriti Manna, Henry Chan, Subramanian K R S Sankaranarayanan
Ab Initio-Based Bond Order Potential for Arsenene Polymorphs Developed via Hierarchical Reinforcement Learning. The journal of physical chemistry. A (2024)
Aditya Koneru, Adil Muhammed, Karthik Balasubramanian, Kiran Sasikumar, Sukriti Manna, Henry Chan, Subramanian K R S Sankaranarayanan
Ab Initio-Based Bond Order Potential for Arsenene Polymorphs Developed via Hierarchical Reinforcement Learning. The journal of physical chemistry. A 128 (28) (2024)
Anirban Chandra, Troy Loeffler, Henry Chan, Xiaoyu Wang, G Brian Stephenson, Michael J Servis, Subramanian K R S Sankaranarayanan
Reinforcement learning based hybrid bond-order coarse-grained interatomic potentials for exploring mesoscale aggregation in liquid-liquid mixtures. The Journal of chemical physics 159 (2) (2023)
Leonid Pereyaslavets, Ganesh Kamath, Oleg Butin, Alexey Illarionov, Michael Olevanov, Igor Kurnikov, Serzhan N Sakipov, Igor Leontyev, Ekaterina Voronina, Tyler Gannon, Grzegorz Nawrocki, Mikhail Darkhovskiy, Ilya Ivahnenko, Alexander Kostikov, Jessica Scaranto, Maria G Kurnikova, Suvo Banik, Henry Chan, Michael G Sternberg, Subramanian K R S Sankaranarayanan, Brad Crawford, Jeffrey Potoff, Michael Levitt, Roger D Kornberg, Boris Fain
Accurate determination of solvation free energies of neutral organic compounds from first principles. Nature communications 13 (1) (2022)
Rohit Batra, Troy D Loeffler, Henry Chan, Srilok Srinivasan, Honggang Cui, Ivan V Korendovych, Vikas Nanda, Liam C Palmer, Lee A Solomon, H Christopher Fry, Subramanian K R S Sankaranarayanan
Machine learning overcomes human bias in the discovery of self-assembling peptides. Nature chemistry (2022)
Sukriti Manna, Troy D Loeffler, Rohit Batra, Suvo Banik, Henry Chan, Bilvin Varughese, Kiran Sasikumar, Michael Sternberg, Tom Peterka, Mathew J Cherukara, Stephen K Gray, Bobby G Sumpter, Subramanian K R S Sankaranarayanan
Learning in continuous action space for developing high dimensional potential energy models. Nature communications 13 (1) (2022)
Aditya Koneru, Rohit Batra, Sukriti Manna, Troy David Loeffler, Henry Chan, Michael Sternberg, Anthony Avarca, Harpal Singh, Mathew J Cherukara, Subramanian K R S Sankaranarayanan
Multi-reward Reinforcement Learning Based Bond-Order Potential to Study Strain-Assisted Phase Transitions in Phosphorene. The journal of physical chemistry letters 13 (7) (2022)
Srilok Srinivasan, Rohit Batra, Duan Luo, Troy Loeffler, Sukriti Manna, Henry Chan, Liuxiang Yang, Wenge Yang, Jianguo Wen, Pierre Darancet, Subramanian K R S Sankaranarayanan
Machine learning the metastable phase diagram of covalently bonded carbon. Nature communications 13 (1) (2022)
Bhaswar Chakrabarti, Henry Chan, Khan Alam, Aditya Koneru, Thomas E Gage, Leonidas E Ocola, Ralu Divan, Daniel Rosenmann, Abhishek Khanna, Benjamin Grisafe, Toby Sanders, Suman Datta, Ilke Arslan, Subramanian K R S Sankaranarayan, Supratik Guha
Nanoporous Dielectric Resistive Memories Using Sequential Infiltration Synthesis. ACS nano 15 (3) (2021)
Srilok Srinivasan, Rohit Batra, Henry Chan, Ganesh Kamath, Mathew J Cherukara, Subramanian K R S Sankaranarayanan
Artificial Intelligence-Guided De Novo Molecular Design Targeting COVID-19. ACS omega 6 (19) (2021)
Rohit Batra, Henry Chan, Ganesh Kamath, Rampi Ramprasad, Mathew J Cherukara, Subramanian K R S Sankaranarayanan
Screening of Therapeutic Agents for COVID-19 Using Machine Learning and Ensemble Docking Studies. The journal of physical chemistry letters 11 (17) (2020)
Lintao Peng, Henry Chan, Priscilla Choo, Teri W Odom, Subramanian K R S Sankaranarayanan, Xuedan Ma
Creation of Single-Photon Emitters in WSe2 Monolayers Using Nanometer-Sized Gold Tips. Nano letters 20 (8) (2020)
Troy David Loeffler, Henry Chan, Stephen Gray, Subramanian K R S Sankaranarayanan
"Teamwork Makes the Dream Work": Tribal Competition Evolutionary Search as a Surrogate for Free-Energy-Based Structural Predictions. The journal of physical chemistry. A 123 (17) (2019)
Henry Chan, Mathew J Cherukara, Badri Narayanan, Troy D Loeffler, Chris J Benmore, Stephen K Gray, Subramanian K R S Sankaranarayanan
Machine learning coarse grained models for water. Nature communications 10 (1) (2019)
Hai-Tian Zhang, Fan Zuo, Feiran Li, Henry Chan, Qiuyu Wu, Zhan Zhang, Badri Narayanan, Koushik Ramadoss, Indranil Chakraborty, Gobinda Saha, Ganesh Kamath, Kaushik Roy, Hua Zhou, Alexander A Chubykin, Subramanian K R S Sankaranarayanan, Jong Hyun Choi, Shriram Ramanathan
Perovskite nickelates as bio-electronic interfaces. Nature communications 10 (1) (2019)
Tarak K Patra, Fu Zhang, Daniel S Schulmann, Henry Chan, Mathew J Cherukara, Mauricio Terrones, Saptarshi Das, Badri Narayanan, Subramanian K R S Sankaranarayanan
Defect Dynamics in 2-D MoS2 Probed by Using Machine Learning, Atomistic Simulations, and High-Resolution Microscopy. ACS nano 12 (8) (2018)
Hao-Cheng Yang, Yunsong Xie, Henry Chan, Badri Narayanan, Lin Chen, Ruben Z Waldman, Subramanian K R S Sankaranarayanan, Jeffrey W Elam, Seth B Darling
Crude-Oil-Repellent Membranes by Atomic Layer Deposition: Oxide Interface Engineering. ACS nano 12 (8) (2018)