Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Mathew J, Cherukara"'
Autor:
Michael H. Prince, Henry Chan, Aikaterini Vriza, Tao Zhou, Varuni K. Sastry, Yanqi Luo, Matthew T. Dearing, Ross J. Harder, Rama K. Vasudevan, Mathew J. Cherukara
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-8 (2024)
Abstract Upgrades to advanced scientific user facilities such as next-generation x-ray light sources, nanoscience centers, and neutron facilities are revolutionizing our understanding of materials across the spectrum of the physical sciences, from li
Externí odkaz:
https://doaj.org/article/bf2c167485744f87ae7a32b8ddc34323
Autor:
Nina Andrejevic, Tao Zhou, Qingteng Zhang, Suresh Narayanan, Mathew J. Cherukara, Maria K. Y. Chan
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-14 (2024)
Abstract Coherent X-ray scattering (CXS) techniques are capable of interrogating dynamics of nano- to mesoscale materials systems at time scales spanning several orders of magnitude. However, obtaining accurate theoretical descriptions of complex dyn
Externí odkaz:
https://doaj.org/article/03475649d0664f8abf04921d1aaac068
Autor:
James P. Horwath, Xiao-Min Lin, Hongrui He, Qingteng Zhang, Eric M. Dufresne, Miaoqi Chu, Subramanian K.R.S. Sankaranarayanan, Wei Chen, Suresh Narayanan, Mathew J. Cherukara
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-11 (2024)
Abstract Understanding and interpreting dynamics of functional materials 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:
https://doaj.org/article/781404d549c84fa0b8934e88e758726a
Autor:
Arthur R. C. McCray, Tao Zhou, Saugat Kandel, Amanda Petford-Long, Mathew J. Cherukara, Charudatta Phatak
Publikováno v:
npj Computational Materials, Vol 10, Iss 1, Pp 1-10 (2024)
Abstract The manipulation and control of nanoscale magnetic spin textures are of rising interest as they are potential foundational units in next-generation computing paradigms. Achieving this requires a quantitative understanding of the spin texture
Externí odkaz:
https://doaj.org/article/6817ba9acd1d4c2f9a39bae74b777048
Autor:
Peco Myint, Ashish Tripathi, Michael J. Wojcik, Junjing Deng, Mathew J. Cherukara, Nicholas Schwarz, Suresh Narayanan, Jin Wang, Miaoqi Chu, Zhang Jiang
Publikováno v:
APL Photonics, Vol 9, Iss 6, Pp 066118-066118-13 (2024)
Many nanodevices and quantum devices, with their sizes often spanning from millimeters down to sub-nanometer, have intricate low-dimensional, non-uniform, or hierarchical structures on surfaces and interfaces. Since their functionalities are dependen
Externí odkaz:
https://doaj.org/article/8f01737df5b74c4cb9f82cc61dba9c8e
Autor:
Anakha V. Babu, Tao Zhou, Saugat Kandel, Tekin Bicer, Zhengchun Liu, William Judge, Daniel J. Ching, Yi Jiang, Sinisa Veseli, Steven Henke, Ryan Chard, Yudong Yao, Ekaterina Sirazitdinova, Geetika Gupta, Martin V. Holt, Ian T. Foster, Antonino Miceli, Mathew J. Cherukara
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract Coherent imaging techniques provide an unparalleled multi-scale view of materials across scientific and technological fields, from structural materials to quantum devices, from integrated circuits to biological cells. Driven by the construct
Externí odkaz:
https://doaj.org/article/0be7c60ee09a488f891cd431678364da
Autor:
James P. Horwath, Xiao-Min Lin, Hongrui He, Qingteng Zhang, Eric M. Dufresne, Miaoqi Chu, Subramanian K.R.S. Sankaranarayanan, Wei Chen, Suresh Narayanan, Mathew J. Cherukara
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-1 (2024)
Externí odkaz:
https://doaj.org/article/5fc49a6deb064e0c9e6b9a9d5919554b
Autor:
Saugat Kandel, Tao Zhou, Anakha V. Babu, Zichao Di, Xinxin Li, Xuedan Ma, Martin Holt, Antonino Miceli, Charudatta Phatak, Mathew J. Cherukara
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-9 (2023)
Abstract Modern scanning microscopes can image materials with up to sub-atomic spatial and sub-picosecond time resolutions, but these capabilities come with large volumes of data, which can be difficult to store and analyze. We report the Fast Autono
Externí odkaz:
https://doaj.org/article/6b7e4858871346f8b5f6edf22bd34a8a
Autor:
Yudong Yao, Henry Chan, Subramanian Sankaranarayanan, Prasanna Balaprakash, Ross J. Harder, Mathew J. Cherukara
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-8 (2022)
Abstract The problem of phase retrieval underlies various imaging methods from astronomy to nanoscale imaging. Traditional phase retrieval methods are iterative and are therefore computationally expensive. Deep learning (DL) models have been develope
Externí odkaz:
https://doaj.org/article/295f8fbe44de4ce2862a576552930097
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