Zobrazeno 1 - 10
of 7 594
pro vyhledávání: '"Kashi, A."'
Autor:
Alzate-Vargas, Lorena, Subedi, Kashi N., Lubbers, Nicholas, Cooper, Michael W. D, Tutchton, Roxanne M., Gibson, Tammie, Messerly, Richard A.
Uranium mononitride (UN) is a promising accident tolerant fuel due to its high fissile density and high thermal conductivity. In this study, we developed the first machine learning interatomic potentials for reliable atomic-scale modeling of UN at fi
Externí odkaz:
http://arxiv.org/abs/2411.14608
Autor:
Pusateri, Ernest, Walia, Anmol, Kashi, Anirudh, Bandyopadhyay, Bortik, Hyder, Nadia, Mahinder, Sayantan, Anantha, Raviteja, Liu, Daben, Gondala, Sashank
In recent years, end-to-end automatic speech recognition (ASR) systems have proven themselves remarkably accurate and performant, but these systems still have a significant error rate for entity names which appear infrequently in their training data.
Externí odkaz:
http://arxiv.org/abs/2409.06062
Autor:
Mukhija, Bhawna, Kashi, Amit
Giant eruptions (GE) in Luminous blue variables (LBVs) are years to decades-long episodes of enhanced mass loss from the outer layers of the star during which the star undergoes major changes in its physical and observed properties. We use the \texts
Externí odkaz:
http://arxiv.org/abs/2408.01718
Neural operators such as the Fourier Neural Operator (FNO) have been shown to provide resolution-independent deep learning models that can learn mappings between function spaces. For example, an initial condition can be mapped to the solution of a pa
Externí odkaz:
http://arxiv.org/abs/2406.16740
Autor:
Brewer, Wesley, Kashi, Aditya, Dash, Sajal, Tsaris, Aristeidis, Yin, Junqi, Shankar, Mallikarjun, Wang, Feiyi
In a post-ChatGPT world, this paper explores the potential of leveraging scalable artificial intelligence for scientific discovery. We propose that scaling up artificial intelligence on high-performance computing platforms is essential to address suc
Externí odkaz:
http://arxiv.org/abs/2406.17812
Autor:
Meena, Muralikrishnan Gopalakrishnan, Liousas, Demetri, Simin, Andrew D., Kashi, Aditya, Brewer, Wesley H., Riley, James J., Kops, Stephen M. de Bruyn
We develop time-series machine learning (ML) methods for closure modeling of the Unsteady Reynolds Averaged Navier Stokes (URANS) equations applied to stably stratified turbulence (SST). SST is strongly affected by fine balances between forces and be
Externí odkaz:
http://arxiv.org/abs/2404.16141
Autor:
Anantha, Raviteja, Bandyopadhyay, Bortik, Kashi, Anirudh, Mahinder, Sayantan, Hill, Andrew W, Chappidi, Srinivas
Large language models (LLMs) are increasingly employed for complex multi-step planning tasks, where the tool retrieval (TR) step is crucial for achieving successful outcomes. Two prevalent approaches for TR are single-step retrieval, which utilizes t
Externí odkaz:
http://arxiv.org/abs/2312.10332
We conduct numerical simulations of multiple nova eruptions in detached, widely separated symbiotic systems that include an asymptotic giant branch (AGB) companion to investigate the impact of white dwarf (WD) mass and binary separation on the evolut
Externí odkaz:
http://arxiv.org/abs/2311.08334
Association Between Obesity and Dyslipidemia in Prediabetic Patients at Health Centers in Amol, 2023
Autor:
Maryam Zarrinkamar, Zahra Kashi, Mohammad Khademloo, Mojgan Geran, Pejman Khosravi, Seyed Hamed Hakimi, Roghaye Khatoon Arab
Publikováno v:
Journal of Mazandaran University of Medical Sciences, Vol 34, Iss 237, Pp 115-126 (2024)
Background and purpose: Obesity is a common risk factor for lipid disorders, diabetes, and prediabetes, all of which are associated with adverse health outcomes and premature mortality. Considering the serious complications of hyperlipidemia and the
Externí odkaz:
https://doaj.org/article/a4a090e4f65140db96cf9642baf8119b
Autor:
Samaneh Kashi, Arezoo Arabipoor, Zahra Zolfaghari, Bahar Movaghar, Hanieh Rostami, Maryam Hafezi
Publikováno v:
Reproductive Biology and Endocrinology, Vol 22, Iss 1, Pp 1-7 (2024)
Abstract Background Recent literature has explored the role of human chorionic gonadotropin (hCG) triggering in frozen embryo transfer (FET) cycles with natural endometrial preparation. Despite this, the impact of hCG triggering on pregnancy outcomes
Externí odkaz:
https://doaj.org/article/0ac8948d0f8940ecb3d6a7255a72978e