Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Maruti K"'
Autor:
Bulbul Ahmmed, Elisabeth G. Rau, Maruti K. Mudunuru, Satish Karra, Joshua R. Tempelman, Adam J. Wachtor, Jean-Baptiste Forien, Gabe M. Guss, Nicholas P. Calta, Phillip J. DePond, Manyalibo J. Matthews
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract In additive manufacturing (AM), process defects such as keyhole pores are difficult to anticipate, affecting the quality and integrity of the AM-produced materials. Hence, considerable efforts have aimed to predict these process defects by t
Externí odkaz:
https://doaj.org/article/f0eabfad36394d9dbc93e354f8730b5a
Publikováno v:
Frontiers in Artificial Intelligence, Vol 5 (2023)
This study describes accurate, computationally efficient models that can be implemented for practical use in predicting frost events for point-scale agricultural applications. Frost damage in agriculture is a costly burden to farmers and global food
Externí odkaz:
https://doaj.org/article/890bf93454734753aff9281d3add66b7
A machine learning framework for rapid forecasting and history matching in unconventional reservoirs
Autor:
Shriram Srinivasan, Daniel O’Malley, Maruti K. Mudunuru, Matthew R. Sweeney, Jeffrey D. Hyman, Satish Karra, Luke Frash, J. William Carey, Michael R. Gross, George D. Guthrie, Timothy Carr, Liwei Li, Hari S. Viswanathan
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021)
Abstract We present a novel workflow for forecasting production in unconventional reservoirs using reduced-order models and machine-learning. Our physics-informed machine-learning workflow addresses the challenges to real-time reservoir management in
Externí odkaz:
https://doaj.org/article/19a3100ba9fc42afae2d745226851b22
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
Watershed models such as the Soil and Water Assessment Tool (SWAT) consist of high-dimensional physical and empirical parameters. These parameters often need to be estimated/calibrated through inverse modeling to produce reliable predictions on hydro
Externí odkaz:
https://doaj.org/article/228a2990ea8b47559c18c9ddb71dfbf6
Publikováno v:
Geothermal Energy, Vol 9, Iss 1, Pp 1-17 (2021)
Abstract In this paper, we present an analysis using unsupervised machine learning (ML) to identify the key geologic factors that contribute to the geothermal production in Brady geothermal field. Brady is a hydrothermal system in northwestern Nevada
Externí odkaz:
https://doaj.org/article/5388e9f2a4b2497f8780ab76eaa5d803
Autor:
Aaron B. Benjamin, Madeleine G. Moule, Maruti K. Didwania, Jonathan Hardy, Panatda Saenkham-Huntsinger, Preeti Sule, Josefine Eilsø Nielsen, Jennifer S. Lin, Christopher H. Contag, Annelise E. Barron, Jeffrey D. Cirillo
Publikováno v:
Microbiology Spectrum, Vol 10, Iss 3 (2022)
ABSTRACT Staphylococcus aureus is one of the most common pathogens associated with infection in wounds. The current standard of care uses a combination of disinfection and drainage followed by conventional antibiotics such as methicillin. Methicillin
Externí odkaz:
https://doaj.org/article/8e921a2943fb4dafa117f86e91624304
Publikováno v:
Energies, Vol 16, Iss 7, p 3098 (2023)
Geothermal energy is considered an essential renewable resource to generate flexible electricity. Geothermal resource assessments conducted by the U.S. Geological Survey showed that the southwestern basins in the U.S. have a significant geothermal po
Externí odkaz:
https://doaj.org/article/74a203de35394ed5b401fabcf50c773e
Autor:
Ann M. Czyzewski, Lynda M. McCaig, Michelle T. Dohm, Lauren A. Broering, Li-Juan Yao, Nathan J. Brown, Maruti K. Didwania, Jennifer S. Lin, Jim F. Lewis, Ruud Veldhuizen, Annelise E. Barron
Publikováno v:
Scientific Reports, Vol 8, Iss 1, Pp 1-9 (2018)
Abstract Acute lung injury (ALI) leads to progressive loss of breathing capacity and hypoxemia, as well as pulmonary surfactant dysfunction. ALI’s pathogenesis and management are complex, and it is a significant cause of morbidity and mortality wor
Externí odkaz:
https://doaj.org/article/5a096b460ffa43f2a9f1d30deb079393
Publikováno v:
Processing and Application of Ceramics, Vol 10, Iss 1, Pp 41-46 (2016)
The lead free ferroelectrics, strontium barium niobates, were synthesized via the low cost solid state reaction method and their fritless thick films were fabricated by screen printing technique on alumina substrate. The X band response (complex perm
Externí odkaz:
https://doaj.org/article/2d744126f4414b4e90994241d0163cd1
Physics-informed neural networks (PINN) have recently become attractive for solving partial differential equations (PDEs) that describe physics laws. By including PDE-based loss functions, physics laws such as mass balance are enforced softly in PINN
Externí odkaz:
http://arxiv.org/abs/2305.13920
