Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Srilok Srinivasan"'
Autor:
Karthik Balasubramanian, Suvo Banik, Sukriti Manna, Srilok Srinivasan, Subramanian K. R. S. Sankaranarayanan
Publikováno v:
APL Machine Learning, Vol 2, Iss 1, Pp 016103-016103-8 (2024)
Boron, an element of captivating chemical intricacy, has been surrounded by controversies ever since its discovery in 1808. The complexities of boron stem from its unique position between metals and insulators in the Periodic Table. Recent computatio
Externí odkaz:
https://doaj.org/article/40bc1b9a84f744a98b8278bf5a13368b
Autor:
Karthik Balasubramanian, Suvo Banik, Sukriti Manna, Srilok Srinivasan, Subramanian K. R. S. Sankaranarayanan
Publikováno v:
APL Machine Learning, Vol 2, Iss 1, Pp 019901-019901-1 (2024)
Externí odkaz:
https://doaj.org/article/966944183e9d4667acf8f901e6800922
A Continuous Action Space Tree search for INverse desiGn (CASTING) framework for materials discovery
Autor:
Suvo Banik, Troy Loefller, Sukriti Manna, Henry Chan, Srilok Srinivasan, Pierre Darancet, Alexander Hexemer, Subramanian K. R. S. Sankaranarayanan
Publikováno v:
npj Computational Materials, Vol 9, Iss 1, Pp 1-16 (2023)
Abstract Material properties share an intrinsic relationship with their structural attributes, making inverse design approaches crucial for discovering new materials with desired functionalities. Reinforcement Learning (RL) approaches are emerging as
Externí odkaz:
https://doaj.org/article/0cd9e43705a342c7862b45c7158152b5
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:
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, 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:
Daniel J. Trainer, Srilok Srinivasan, Brandon L. Fisher, Yuan Zhang, Constance R. Pfeiffer, Saw-Wai Hla, Pierre Darancet, Nathan P. Guisinger
Publikováno v:
ACS nano. 16(10)
We synthesize artificial graphene nanoribbons by positioning carbon monoxide molecules on a copper surface to confine its surface state electrons into artificial atoms positioned to emulate the low-energy electronic structure of graphene derivatives.
Autor:
Harry C. Fry, Lee A. Solomon, Subramanian K. R. S. Sankaranarayanan, Honggang Cui, Ivan V. Korendovych, Liam C. Palmer, Henry Chan, Vikas Nanda, Troy D. Loeffler, Rohit Batra, Srilok Srinivasan
Peptide materials have a wide array of functions from tissue engineering, surface coatings to catalysis and sensing. This class of biopolymer is composed of a sequence, comprised of 20 naturally occurring amino acids whose arrangement dictate the pep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5a00d296413407bfe365ab7c0c1cb1f9
https://doi.org/10.21203/rs.3.rs-505801/v1
https://doi.org/10.21203/rs.3.rs-505801/v1
Autor:
Srilok Srinivasan, Subramanian K. R. S. Sankaranarayanan, Mathew J. Cherukara, Badri Narayanan, Kiran Sasikumar, Henry Chan
Publikováno v:
Nanoscale. 11:10381-10392
Nanostructures of transition metal di-chalcogenides (TMDCs) exhibit exotic thermal, chemical and electronic properties, enabling diverse applications from thermoelectrics and catalysis to nanoelectronics. The thermal properties of these nanoscale TMD
Autor:
Brandon Fisher, Srilok Srinivasan, Yuan Zhang, Saw Hla, Constance Pfeiffer, Nathan P. Guisinger, Pierre Darancet, Daniel J. Trainer
Topological phases of matter give rise to exotic physics that can be leveraged for next generation quantum computation1–3 and spintronic devices4,5. Thus, the search for topological phases and the quantum states that they exhibit have become the su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::749b6951fad41e13203bf2000896e196