Zobrazeno 1 - 10
of 804
pro vyhledávání: '"Sankaranarayanan Subramanian"'
Autor:
Du, Jingshan S., Banik, Suvo, Chan, Henry, Fritsch, Birk, Xia, Ying, Karakoti, Ajay S., Hutzler, Andreas, Sankaranarayanan, Subramanian K. R. S., De Yoreo, James J.
Despite the ubiquity of ice, a molecular-resolution image of ice crystallized from liquid water or the resulting defect structure has never been obtained. Here, we report the stabilization and angstrom-resolution electron imaging of ice Ih crystalliz
Externí odkaz:
http://arxiv.org/abs/2406.00915
Machine Learning (ML) potentials such as Gaussian Approximation Potential (GAP) have demonstrated impressive capabilities in mapping structure to properties across diverse systems. Here, we introduce a GAP model for low-dimensional Ni nanoclusters an
Externí odkaz:
http://arxiv.org/abs/2405.14683
Defects such as grain boundaries (GBs) are almost inevitable during the synthesis process of 2D materials. To take advantage of the fascinating properties of 2D materials, understanding the nature and impact of various GB structures on the pristine 2
Externí odkaz:
http://arxiv.org/abs/2309.17407
Autor:
Gamage, Sampath, Manna, Sukriti, Zajac, Marc, Hancock, Steven, Wang, Qi, Singh, Sarabpreet, Ghafariasl, Mahdi, Yao, Kun, Tiwald, Tom, Park, Tae Joon, Landau, David P., Wen, Haidan, Sankaranarayanan, Subramanian, Darancet, Pierre, Ramanathan, Shriram, Abate, Yohannes
Solid-state devices made from correlated oxides such as perovskite nickelates are promising for neuromorphic computing by mimicking biological synaptic function. However, comprehending dopant action at the nanoscale poses a formidable challenge to un
Externí odkaz:
http://arxiv.org/abs/2309.04486
Autor:
Carrillo, Jan Michael Y., P, Vijith, Patra, Tarak K., Chen, Zhan, Russell, Thomas P., Sankaranarayanan, Subramanian KRS, Sumpter, Bobby G., Batra, Rohit
Star block copolymers (s-BCPs) have potential applications as novel surfactants or amphiphiles for emulsification, compatbilization, chemical transformations and separations. s-BCPs are star-shaped macromolecules comprised of linear chains of differe
Externí odkaz:
http://arxiv.org/abs/2308.08226
A Continuous Action Space Tree search for INverse desiGn (CASTING) Framework for Materials Discovery
Autor:
Banik, Suvo, Loefller, Troy, Manna, Sukriti, Srinivasan, Srilok, Darancet, Pierre, Chan, Henry, Hexemer, Alexander, Sankaranarayanan, Subramanian KRS
Fast and accurate prediction of optimal crystal structure, topology, and microstructures is important for accelerating the design and discovery of new materials. A challenge lies in the exorbitantly large structural and compositional space presented
Externí odkaz:
http://arxiv.org/abs/2212.12106
Autor:
Horwath, James P., Lin, Xiao-Min, He, Hongrui, Zhang, Qingteng, Dufresne, Eric M., Chu, Miaoqi, Sankaranarayanan, Subramanian K. R. S., Chen, Wei, Narayanan, Suresh, Cherukara, Mathew J.
Understanding and interpreting dynamics of functional materials \textit{in situ} is a grand challenge in physics and materials science due to the difficulty of experimentally probing materials at varied length and time scales. X-ray photon correlatio
Externí odkaz:
http://arxiv.org/abs/2212.03984
Autor:
Shen, Mingren, Sheyfer, Dina, Loeffler, Troy David, Sankaranarayanan, Subramanian K. R. S., Stephenson, G. Brian, Chan, Maria K. Y., Morgan, Dane
Speckle patterns produced by coherent X-ray have a close relationship with the internal structure of materials but quantitative inversion of the relationship to determine structure from speckle patterns is challenging. Here, we investigate the link b
Externí odkaz:
http://arxiv.org/abs/2211.08194
Autor:
Park, Tae Joon, Selcuk, Kemal, Zhang, Hai-Tian, Manna, Sukriti, Batra, Rohit, Wang, Qi, Yu, Haoming, Sankaranarayanan, Subramanian K. R. S., Zhou, Hua, Camsari, Kerem Y., Ramanathan, Shriram
Publikováno v:
Nano Letters (2022)
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
Externí odkaz:
http://arxiv.org/abs/2208.14408
Autor:
Zhao, Zhuowen, Chavez, Tanny, Holman, Elizabeth A., Hao, Guanhua, Green, Adam, Krishnan, Harinarayan, McReynolds, Dylan, Pandolfi, Ronald, Roberts, Eric J., Zwart, Petrus H., Yanxon, Howard, Schwarz, Nicholas, Sankaranarayanan, Subramanian, Kalinin, Sergei V., Mehta, Apurva, Campbell, Stuart, Hexemer, Alexander
Publikováno v:
2022 4th IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing (XLOOP)
Machine learning (ML) algorithms are showing a growing trend in helping the scientific communities across different disciplines and institutions to address large and diverse data problems. However, many available ML tools are programmatically demandi
Externí odkaz:
http://arxiv.org/abs/2208.09751