Zobrazeno 1 - 10
of 189
pro vyhledávání: '"Kumar, Nalini"'
Autor:
Lee, Kin Long Kelvin, Gonzales, Carmelo, Spellings, Matthew, Galkin, Mikhail, Miret, Santiago, Kumar, Nalini
Artificial intelligence and machine learning have shown great promise in their ability to accelerate novel materials discovery. As researchers and domain scientists seek to unify and consolidate chemical knowledge, the case for models with potential
Externí odkaz:
http://arxiv.org/abs/2310.07864
Spontaneous self-organization is ubiquitous in systems far from thermodynamic equilibrium. While organized structures that emerge dominate transport properties, universal representations that identify and describe these key objects remain elusive. He
Externí odkaz:
http://arxiv.org/abs/2304.12586
Autor:
Anil Kumar Nalini Chandran, Puneet Paul, Balpreet K. Dhatt, Jaspreet Sandhu, Larissa Irvin, Shohei Oguro, Yu Shi, Chi Zhang, Harkamal Walia
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Heat stress (HS) occurring during the grain-filling period has a detrimental effect on grain yield and quality in rice (Oryza sativa). The development of heat-resilient cultivars could partly solve this issue if tolerant alleles can be identified and
Externí odkaz:
https://doaj.org/article/05ce6a58628740e8b0727dc31e6e8dc5
Akademický článek
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Autor:
Rupe, Adam, Kumar, Nalini, Epifanov, Vladislav, Kashinath, Karthik, Pavlyk, Oleksandr, Schlimbach, Frank, Patwary, Mostofa, Maidanov, Sergey, Lee, Victor, Prabhat, Crutchfield, James P.
Extracting actionable insight from complex unlabeled scientific data is an open challenge and key to unlocking data-driven discovery in science. Complementary and alternative to supervised machine learning approaches, unsupervised physics-based metho
Externí odkaz:
http://arxiv.org/abs/1909.11822
Extreme weather is one of the main mechanisms through which climate change will directly impact human society. Coping with such change as a global community requires markedly improved understanding of how global warming drives extreme weather events.
Externí odkaz:
http://arxiv.org/abs/1909.07520
Akademický článek
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Autor:
Kumar, Nalini Ranjan1 drnaliniranjan@gmail.com, Abdulla1, Kapoor, Shilpi1, Singh, N. P.2, Jha, G. K.3, Srivastava, S. K.1
Publikováno v:
Agricultural Economics Research Review. Jan-Jun2024, Vol. 37 Issue 1, p47-58. 12p.
Autor:
Mathuriya, Amrita, Bard, Deborah, Mendygral, Peter, Meadows, Lawrence, Arnemann, James, Shao, Lei, He, Siyu, Karna, Tuomas, Moise, Daina, Pennycook, Simon J., Maschoff, Kristyn, Sewall, Jason, Kumar, Nalini, Ho, Shirley, Ringenburg, Mike, Prabhat, Lee, Victor
Deep learning is a promising tool to determine the physical model that describes our universe. To handle the considerable computational cost of this problem, we present CosmoFlow: a highly scalable deep learning application built on top of the Tensor
Externí odkaz:
http://arxiv.org/abs/1808.04728
Publikováno v:
Asian Journal of Medical Sciences; Dec2024, Vol. 15 Issue 12, p151-157, 7p