Subramanian K R S Sankaranarayanan (Subramanian Krs Sankaranarayanan)

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 46

Top Topics

Density Functional Theory

Machine Learning

Molecular Dynamics

Top Venues

The journal of physical chemistry. B

Science advances

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

Publications

Yifan Yuan, Ranjan Kumar Patel, Suvo Banik, Tadesse Billo Reta, Ravindra Singh Bisht, Dillon D Fong, Subramanian K R S Sankaranarayanan, Shriram Ramanathan
Proton Conducting Neuromorphic Materials and Devices. Chemical reviews (2024)
Jianan Zhang, Aditya Koneru, Subramanian K R S Sankaranarayanan, Carmen M Lilley
Evolutionary Search and Theoretical Study of Silicene Grain Boundaries' Mechanical Properties. The journal of physical chemistry. C, Nanomaterials and interfaces 128 (14) (2024)
Sampath Gamage, Sukriti Manna, Marc Zajac, Steven Hancock, Qi Wang, Sarabpreet Singh, Mahdi Ghafariasl, Kun Yao, Tom E Tiwald, Tae Joon Park, David P Landau, Haidan Wen, Subramanian K R S Sankaranarayanan, Pierre Darancet, Shriram Ramanathan, Yohannes Abate
Infrared Nanoimaging of Hydrogenated Perovskite Nickelate Memristive Devices. ACS nano (2024)
Alexandre Pofelski, Haili Jia, Sunbin Deng, Haoming Yu, Tae Joon Park, Sukriti Manna, Maria K Y Chan, Subramanian K R S Sankaranarayanan, Shriram Ramanathan, Yimei Zhu
Subnanometer Scale Mapping of Hydrogen Doping in Vanadium Dioxide. Nano letters 24 (6) (2024)
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)
Yifan Yuan, Ranjan Kumar Patel, Suvo Banik, Tadesse Billo Reta, Ravindra Singh Bisht, Dillon D Fong, Subramanian K R S Sankaranarayanan, Shriram Ramanathan
Proton Conducting Neuromorphic Materials and Devices. Chemical reviews 124 (16) (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)
Jan-Michael Y Carrillo, Vijith Parambil, Tarak K Patra, Zhan Chen, Thomas P Russell, Subramanian K R S Sankaranarayanan, Bobby G Sumpter, Rohit Batra
Accelerated Sequence Design of Star Block Copolymers: An Unbiased Exploration Strategy via Fusion of Molecular Dynamics Simulations and Machine Learning. The journal of physical chemistry. B (2024)
Jianan Zhang, Aditya Koneru, Subramanian K R S Sankaranarayanan, Carmen M Lilley
Evolutionary Search and Theoretical Study of Silicene Grain Boundaries' Mechanical Properties. The journal of physical chemistry. C, Nanomaterials and interfaces 128 (14) (2024)
Jianan Zhang, Aditya Koneru, Subramanian K R S Sankaranarayanan, Carmen M Lilley
Evolutionary Search and Theoretical Study of Silicene Grain Boundaries' Mechanical Properties. The journal of physical chemistry. C, Nanomaterials and interfaces 128 (14) (2024)
Jan-Michael Y Carrillo, Vijith Parambil, Tarak K Patra, Zhan Chen, Thomas P Russell, Subramanian K R S Sankaranarayanan, Bobby G Sumpter, Rohit Batra
Accelerated Sequence Design of Star Block Copolymers: An Unbiased Exploration Strategy via Fusion of Molecular Dynamics Simulations and Machine Learning. The journal of physical chemistry. B 128 (17) (2024)
Sampath Gamage, Sukriti Manna, Marc Zajac, Steven Hancock, Qi Wang, Sarabpreet Singh, Mahdi Ghafariasl, Kun Yao, Tom E Tiwald, Tae Joon Park, David P Landau, Haidan Wen, Subramanian K R S Sankaranarayanan, Pierre Darancet, Shriram Ramanathan, Yohannes Abate
Infrared Nanoimaging of Hydrogenated Perovskite Nickelate Memristive Devices. ACS nano 18 (3) (2024)
Alexandre Pofelski, Haili Jia, Sunbin Deng, Haoming Yu, Tae Joon Park, Sukriti Manna, Maria K Y Chan, Subramanian K R S Sankaranarayanan, Shriram Ramanathan, Yimei Zhu
Subnanometer Scale Mapping of Hydrogen Doping in Vanadium Dioxide. Nano letters (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)
Sampath Gamage, Sukriti Manna, Marc Zajac, Steven Hancock, Qi Wang, Sarabpreet Singh, Mahdi Ghafariasl, Kun Yao, Tom E Tiwald, Tae Joon Park, David P Landau, Haidan Wen, Subramanian K R S Sankaranarayanan, Pierre Darancet, Shriram Ramanathan, Yohannes Abate
Infrared Nanoimaging of Hydrogenated Perovskite Nickelate Memristive Devices. ACS nano 18 (3) (2024)
Yifan Yuan, Ranjan Kumar Patel, Suvo Banik, Tadesse Billo Reta, Ravindra Singh Bisht, Dillon D Fong, Subramanian K R S Sankaranarayanan, Shriram Ramanathan
Proton Conducting Neuromorphic Materials and Devices. Chemical reviews (2024)
Bilvin Varughese, Sukriti Manna, Troy David Loeffler, Rohit Batra, Mathew J Cherukara, Subramanian K R S Sankaranarayanan
Active and Transfer Learning of High-Dimensional Neural Network Potentials for Transition Metals. ACS applied materials & interfaces (2024)
Rukmava Chatterjee, Rajith Unnikrishnan Thanjukutty, Christopher Carducci, Arnab Neogi, Suman Chakraborty, Vijay Prithiv Bathey Ramesh Bapu, Suvo Banik, Subramanian K R S Sankaranarayanan, Sushant Anand
Adhesion of impure ice on surfaces. Materials horizons (2023)
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)
Sunbin Deng, Haoming Yu, Tae Joon Park, A N M Nafiul Islam, Sukriti Manna, Alexandre Pofelski, Qi Wang, Yimei Zhu, Subramanian K R S Sankaranarayanan, Abhronil Sengupta, Shriram Ramanathan
Selective area doping for Mott neuromorphic electronics. Science advances 9 (11) (2023)
Dina Sheyfer, Michael J Servis, Qingteng Zhang, J Lal, Troy David Loeffler, Eric M Dufresne, A R Sandy, S Narayanan, Subramanian K R S Sankaranarayanan, Robert Szczygiel, Piotr Maj, L Soderholm, Mark R Antonio, G Brian Stephenson
Correction to "Advancing Chemical Separations: Unraveling the Structure and Dynamics of Phase Splitting in Liquid-Liquid Extraction". The journal of physical chemistry. B (2023)
Sunbin Deng, Haoming Yu, Tae Joon Park, A N M Nafiul Islam, Sukriti Manna, Alexandre Pofelski, Qi Wang, Yimei Zhu, Subramanian K R S Sankaranarayanan, Abhronil Sengupta, Shriram Ramanathan
Selective area doping for Mott neuromorphic electronics. Science advances 9 (11) (2023)
Jianan Zhang, Aditya Koneru, Subramanian K R S Sankaranarayanan, Carmen M Lilley
Graph Neural Network Guided Evolutionary Search of Grain Boundaries in 2D Materials. ACS applied materials & interfaces (2023)
Alexey Illarionov, Serzhan N Sakipov, Leonid Pereyaslavets, Igor V Kurnikov, Ganesh Kamath, Oleg Butin, Ekaterina Voronina, Ilya Ivahnenko, Igor Leontyev, Grzegorz Nawrocki, Mikhail Darkhovskiy, Michael Olevanov, Yevhen K Cherniavskyi, Christopher B Lock, Sean Greenslade, Subramanian K R S Sankaranarayanan, Maria G Kurnikova, Jeffrey J Potoff, Roger D Kornberg, Michael Levitt, Boris Fain
Combining Force Fields and Neural Networks for an Accurate Representation of Chemically Diverse Molecular Interactions. Journal of the American Chemical Society (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)
Hai-Tian Zhang, Tae Joon Park, A N M Nafiul Islam, Dat S J Tran, Sukriti Manna, Qi Wang, Sandip Mondal, Haoming Yu, Suvo Banik, Shaobo Cheng, Hua Zhou, Sampath Gamage, Sayantan Mahapatra, Yimei Zhu, Yohannes Abate, Nan Jiang, Subramanian K R S Sankaranarayanan, Abhronil Sengupta, Christof Teuscher, Shriram Ramanathan
Reconfigurable perovskite nickelate electronics for artificial intelligence. Science (New York, N.Y.) 375 (6580) (2022)
Suvo Banik, Troy David Loeffler, Rohit Batra, Harpal Singh, Mathew J Cherukara, Subramanian K R S Sankaranarayanan
Learning with Delayed Rewards-A Case Study on Inverse Defect Design in 2D Materials. ACS applied materials & interfaces 13 (30) (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)
Rafael A Vicente, Itamar T Neckel, Subramanian K R S Sankaranarayanan, José Solla Gullon, Pablo Sebastián Fernández
Bragg Coherent Diffraction Imaging for In Situ Studies in Electrocatalysis. ACS nano 15 (4) (2021)
Yuan Zhang, Daniel J Trainer, Badri Narayanan, Yang Li, Anh T Ngo, Sushila Khadka, Arnab Neogi, Brandon Fisher, Larry A Curtiss, Subramanian K R S Sankaranarayanan, Saw-Wai Hla
One-Dimensional Lateral Force Anisotropy at the Atomic Scale in Sliding Single Molecules on a Surface. Nano letters 21 (15) (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)
Neeraj Dwivedi, Reuben J Yeo, Chetna Dhand, Jared Risan, Richard Nay, Sudhiranjan Tripathy, Sukumar Rajauria, Mohammad S M Saifullah, Subramanian K R S Sankaranarayanan, Hyunsoo Yang, Aaron Danner, Charanjit S Bhatia
Boosting contact sliding and wear protection via atomic intermixing and tailoring of nanoscale interfaces. Science advances 5 (1) (2019)
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)
Mathew J Cherukara, Daniel S Schulmann, Kiran Sasikumar, Andrew J Arnold, Henry Chan, Sridhar Sadasivam, Wonsuk Cha, Jorg Maser, Saptarshi Das, Subramanian K R S Sankaranarayanan, Ross J Harder
Three-Dimensional Integrated X-ray Diffraction Imaging of a Native Strain in Multi-Layered WSe2. Nano letters 18 (3) (2018)
Troy David Loeffler, Henry Chan, Badri Narayanan, Mathew J Cherukara, Stephen Gray, Subramanian K R S Sankaranarayanan
Configurational-Bias Monte Carlo Back-Mapping Algorithm for Efficient and Rapid Conversion of Coarse-Grained Water Structures into Atomistic Models. The journal of physical chemistry. B 122 (28) (2018)
Mathew J Cherukara, Badri Narayanan, Henry Chan, Subramanian K R S Sankaranarayanan
Silicene growth through island migration and coalescence. Nanoscale 9 (29) (2018)
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)
Yugang Sun, Xiao-Bing Zuo, Subramanian K R S Sankaranarayanan, Sheng Peng, Badri Narayanan, Ganesh Kamath
Quantitative 3D evolution of colloidal nanoparticle oxidation in solution. Science (New York, N.Y.) 356 (6335) (2017)
Mathew J Cherukara, Kiran Sasikumar, Anthony DiChiara, Steven J Leake, Wonsuk Cha, Eric M Dufresne, Tom Peterka, Ian McNulty, Donald A Walko, Haidan Wen, Subramanian K R S Sankaranarayanan, Ross J Harder
Ultrafast Three-Dimensional Integrated Imaging of Strain in Core/Shell Semiconductor/Metal Nanostructures. Nano letters 17 (12) (2017)
Mathew J Cherukara, Kiran Sasikumar, Wonsuk Cha, Badri Narayanan, Steven J Leake, Eric M Dufresne, Tom Peterka, Ian McNulty, Haidan Wen, Subramanian K R S Sankaranarayanan, Ross J Harder
Ultrafast Three-Dimensional X-ray Imaging of Deformation Modes in ZnO Nanocrystals. Nano letters 17 (2) (2017)