Zobrazeno 1 - 10
of 515
pro vyhledávání: '"Rajiv K Kalia"'
Publikováno v:
PLoS ONE, Vol 17, Iss 3, p e0263916 (2022)
ObjectivesGround-glass opacity (GGO)-a hazy, gray appearing density on computed tomography (CT) of lungs-is one of the hallmark features of SARS-CoV-2 in COVID-19 patients. This AI-driven study is focused on segmentation, morphology, and distribution
Externí odkaz:
https://doaj.org/article/b3a9fd166f8942eeb42f87f6e93e55d1
Autor:
Masaaki Misawa, Hinata Hokyo, Shogo Fukushima, Kohei Shimamura, Akihide Koura, Fuyuki Shimojo, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract Typical ductile materials are metals, which deform by the motion of defects like dislocations in association with non-directional metallic bonds. Unfortunately, this textbook mechanism does not operate in most inorganic semiconductors at amb
Externí odkaz:
https://doaj.org/article/f80cbe763edc44f0976bb3c59e81443e
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-8 (2021)
Abstract Engineering thermal transport in two dimensional materials, alloys and heterostructures is critical for the design of next-generation flexible optoelectronic and energy harvesting devices. Direct experimental characterization of lattice ther
Externí odkaz:
https://doaj.org/article/3b4673124bff4c44bcce7ccb51ff3576
Publikováno v:
ACS Omega, Vol 4, Iss 27, Pp 22274-22279 (2019)
Externí odkaz:
https://doaj.org/article/f51837fdeb2d4b76ba6c9790092cf083
Autor:
Lindsay Bassman Oftelie, Pankaj Rajak, Rajiv K. Kalia, Aiichiro Nakano, Fei Sha, Jifeng Sun, David J. Singh, Muratahan Aykol, Patrick Huck, Kristin Persson, Priya Vashishta
Publikováno v:
npj Computational Materials, Vol 8, Iss 1, Pp 1-1 (2022)
Externí odkaz:
https://doaj.org/article/1332c9f7a7be4b9fbb4c55a044ce7829
Autor:
Taufeq Mohammed Razakh, Beibei Wang, Shane Jackson, Rajiv K. Kalia, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta
Publikováno v:
SoftwareX, Vol 15, Iss , Pp 100789- (2021)
We have developed PND, a differential equation solver software based on a physics-informed neural network (PINN) for molecular dynamics simulators. Based on automatic differentiation technique provided by PyTorch, our software allows users to flexibl
Externí odkaz:
https://doaj.org/article/503282e096cf44d9ac4c9c76ac562c7c
Autor:
Connor Powers, Lindsay Bassman, Thomas M. Linker, Ken-ichi Nomura, Sahil Gulania, Rajiv K. Kalia, Aiichiro Nakano, Priya Vashishta
Publikováno v:
SoftwareX, Vol 14, Iss , Pp 100696- (2021)
We present MISTIQS, a Multiplatform Software for Time-dependent Quantum Simulations. MISTIQS delivers end-to-end functionality for simulating the quantum many-body dynamics of systems governed by time-dependent Heisenberg Hamiltonians across multiple
Externí odkaz:
https://doaj.org/article/658457c595894eb4b332eb22a63f4b53
Publikováno v:
ACS Omega, Vol 4, Iss 6, Pp 9952-9956 (2019)
Externí odkaz:
https://doaj.org/article/0fc840999e0940f8b2618f196e2fe3ec
Autor:
Brandon K. Horton, Rajiv K. Kalia, Erick Moen, Aiichiro Nakano, Ken-ichi Nomura, Michael Qian, Priya Vashishta, Anders Hafreager
Publikováno v:
SoftwareX, Vol 9, Iss , Pp 112-116 (2019)
The Game-Engine-Assisted Research platform for Scientific computing (GEARS) is a visualization framework developed at the Materials Genome Innovation for Computational Software (MAGICS) center to perform simulations and on-the-fly data exploration in
Externí odkaz:
https://doaj.org/article/6842de301b304298a1041d99f217cbbd
Publikováno v:
ACS Nano. 17:7576-7583