Zobrazeno 1 - 10
of 75
pro vyhledávání: '"Rohit, Batra"'
Autor:
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
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Exploration of metastable phases of a given elemental composition is a data-intensive task. Here the authors integrate first-principles atomistic simulations with machine learning and high-performance computing to allow a rapid exploration of the met
Externí odkaz:
https://doaj.org/article/9c4236a29bdf462b8253c54b54a8e658
Autor:
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
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-10 (2022)
Reinforcement learning algorithms are emerging as powerful machine learning approaches. This paper introduces a novel machine-learning approach for learning in continuous action space and applies this strategy to the generation of high dimensional po
Externí odkaz:
https://doaj.org/article/856fb35b358a4d51a94ca42f1d112763
Publikováno v:
Future Journal of Pharmaceutical Sciences, Vol 7, Iss 1, Pp 1-10 (2021)
Abstract Background A plethora of chemicals exists in human body which can alter physiology in one way or other. Scientists have always been astounded by such abilities of chemicals but as the technology advances, even the chemical which was once exp
Externí odkaz:
https://doaj.org/article/1877790c2b444781ad45883f94e18cda
Autor:
Srilok Srinivasan, Rohit Batra, Henry Chan, Ganesh Kamath, Mathew J. Cherukara, Subramanian K. R. S. Sankaranarayanan
Publikováno v:
ACS Omega, Vol 6, Iss 19, Pp 12557-12566 (2021)
Externí odkaz:
https://doaj.org/article/a5492fddd7874a6093e8d4eb60d5da50
Autor:
Rohit Batra, Suresh Sadhasivam, Swamini Saini, Swati Gupta, Rahul Kumar Singh Bisen, Mau Sinha, Shamik Ghosh, Shilpi Jain
Publikováno v:
Drugs in R&D, Vol 20, Iss 2, Pp 95-104 (2020)
Abstract Background and Objectives The emergence of resistant strains of Cutibacterium acnes can limit the efficacy of currently approved antibiotics for acne. VB-1953 is a next-generation antibiotic that exerts a bactericidal effect on resistant C.
Externí odkaz:
https://doaj.org/article/be11c2547be44db5a471cde7047dc085
Autor:
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
Publikováno v:
Nat Chem
Peptide materials have a wide array of functions, from tissue engineering and surface coatings to catalysis and sensing. Tuning the sequence of amino acids that comprise the peptide modulates peptide functionality, but a small increase in sequence le
Autor:
Aditya Koneru, Rohit Batra, Sukriti Manna, Troy D. Loeffler, Henry Chan, Michael Sternberg, Anthony Avarca, Harpal Singh, Mathew J. Cherukara, Subramanian K. R. S. Sankaranarayanan
Publikováno v:
The Journal of Physical Chemistry Letters. 13:1886-1893
We introduce a multi-reward reinforcement learning (RL) approach to train a flexible bond-order potential (BOP) for 2D phosphorene based on ab initio training data sets. Our approach is based on a continuous action space Monte Carlo tree search algor
Autor:
Tae Joon Park, Kemal Selcuk, Hai-Tian Zhang, Sukriti Manna, Rohit Batra, Qi Wang, Haoming Yu, Navid Anjum Aadit, Subramanian K. R. S. Sankaranarayanan, Hua Zhou, Kerem Y. Camsari, Shriram Ramanathan
Publikováno v:
Nano letters. 22(21)
Probabilistic computing has emerged as a viable approach to solve hard optimization problems. Devices with inherent stochasticity can greatly simplify their implementation in electronic hardware. Here, we demonstrate intrinsic stochastic resistance s
Autor:
Rohit Batra, He Sun
Publikováno v:
Reading and Writing.
Publikováno v:
Structural Equation Modeling: A Multidisciplinary Journal. 29:295-309
Studying development processes, as they unfold over time, involves collecting repeated measures from individuals and modeling the changes over time. One methodological challenge in this type of longitudinal data is separating retest effects, due to t