Zobrazeno 1 - 10
of 11 941
pro vyhledávání: '"Jayaraman P"'
Autor:
M Arangarajan, Kaliappan Seeniappan, Jayaraman P., Arun Kumar A.L.N., Arulmurugan S., Maranan Ramya
Publikováno v:
E3S Web of Conferences, Vol 556, p 01026 (2024)
The aim of the present research is on the automobile application of magnesium matrix composites. To this purpose, optimal mechanical properties of MMCs are studied through the conduction of an experimental investigation. In this research, eight sampl
Externí odkaz:
https://doaj.org/article/cba7a3a50b6243be883da079ce1f0f1b
Publikováno v:
Batteries, Vol 9, Iss 12, p 570 (2023)
Current Li battery technology employs graphite anode and flammable organic liquid electrolytes. Thus, the current Li battery is always facing the problems of low energy density and safety. Additionally, the sustainable supply of Li due to the scarce
Externí odkaz:
https://doaj.org/article/09cba283fd624eb4bba31d5493f656f7
Autor:
Puladasu Sudhakar, Nitin K. Kamble, Geetha K, Anil V. Turukmane, Suresh Babu Perli, Jayaraman P
Publikováno v:
Measurement: Sensors, Vol 25, Iss , Pp 100621- (2023)
Researchers desperately ought to build an efficient turbine problem detection & simulation environment given the quick increase in wind energy capacity and the steadily rising operational cost duration of wind generators. The two aspects of fault ide
Externí odkaz:
https://doaj.org/article/0def7512fecd46b999ac31b0303b7891
Building generalist agents that can rapidly adapt to new environments is a key challenge for deploying AI in the digital and real worlds. Is scaling current agent architectures the most effective way to build generalist agents? We propose a novel app
Externí odkaz:
http://arxiv.org/abs/2412.04759
Autor:
Medi, Tejaswini, Rampini, Arianna, Reddy, Pradyumna, Jayaraman, Pradeep Kumar, Keuper, Margret
Autoregressive (AR) models have achieved remarkable success in natural language and image generation, but their application to 3D shape modeling remains largely unexplored. Unlike diffusion models, AR models enable more efficient and controllable gen
Externí odkaz:
http://arxiv.org/abs/2411.19037
Stars in close binaries are tidally distorted, and this has a strong effect on their pulsation modes. We compute the mode frequencies and geometries of tidally distorted stars using perturbation theory, accounting for the effects of the Coriolis forc
Externí odkaz:
http://arxiv.org/abs/2411.09743
Autor:
Cho, Min Sang, Grabowski, Paul E., Thopalli, Kowshik, Jayram, Thathachar S., Barrow, Michael J., Thiagarajan, Jayaraman J., Anirudh, Rushil, Le, Hai P., Scott, Howard A., Kallman, Joshua B., Stephens, Branson C., Foord, Mark E., Gaffney, Jim A., Bremer, Peer-Timo
The integration of machine learning techniques into Inertial Confinement Fusion (ICF) simulations has emerged as a powerful approach for enhancing computational efficiency. By replacing the costly Non-Local Thermodynamic Equilibrium (NLTE) model with
Externí odkaz:
http://arxiv.org/abs/2411.08789
Autor:
Choi, Joanne, Clark, Sam, Jaiswal, Ranjan, Kirk, Peter, Jayaraman, Sachin, Ashqar, Huthaifa I.
Many workers in cities across the world, who have been teleworking because of the COVID-19 pandemic, are expected to be back to their commutes. As this process is believed to be gradual and telecommuting is likely to remain an option for many workers
Externí odkaz:
http://arxiv.org/abs/2411.05957
Autor:
Ma, Yecheng Jason, Hejna, Joey, Wahid, Ayzaan, Fu, Chuyuan, Shah, Dhruv, Liang, Jacky, Xu, Zhuo, Kirmani, Sean, Xu, Peng, Driess, Danny, Xiao, Ted, Tompson, Jonathan, Bastani, Osbert, Jayaraman, Dinesh, Yu, Wenhao, Zhang, Tingnan, Sadigh, Dorsa, Xia, Fei
Predicting temporal progress from visual trajectories is important for intelligent robots that can learn, adapt, and improve. However, learning such progress estimator, or temporal value function, across different tasks and domains requires both a la
Externí odkaz:
http://arxiv.org/abs/2411.04549
Autor:
Balakrishnan, Mayura, Bowens, Rory, Aguirre, Fernando Cruz, Hughes, Kaeli, Jayaraman, Rahul, Kuhn, Emily, Louden, Emma, Louie, Dana R., McBride, Keith, McGrath, Casey, Payne, Jacob, Presser, Tyler, Reding, Joshua S., Rickman, Emily, Scrandis, Rachel, Symons, Teresa, Wiser, Lindsey, Jahoda, Keith, Kataria, Tiffany, Nash, Alfred, X, Team
Publikováno v:
Volume 136, Number 10, 2024
We present the mission concept "Mission to Analyze the UltraViolet universE" (MAUVE), a wide-field spectrometer and imager conceived during the inaugural NASA Astrophysics Mission Design School. MAUVE responds to the 2023 Announcement of Opportunity
Externí odkaz:
http://arxiv.org/abs/2411.04164