Zobrazeno 1 - 10
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pro vyhledávání: '"Muralidharan P"'
Autor:
Muralidharan P., Subramani K., Habelalmateen Mohammed I., Pant Rajesh, Mishra Aishwarya, Ikhar Sharayu
Publikováno v:
E3S Web of Conferences, Vol 540, p 10023 (2024)
This paper reviews the work in the areas of machine learning’s role in bolstering renewable energy within smart grids. As the global shift towards eco-friendly energy sources such as wind and solar gains momentum, the challenge lies in managing the
Externí odkaz:
https://doaj.org/article/53699deea94b408b8903749776e87438
Autor:
Muralidharan P., Thakur Gaurav, M Shalini, Sharma Vikalp, Abootharmahmoodshakir, Dhablia Anishkumar
Publikováno v:
E3S Web of Conferences, Vol 540, p 03003 (2024)
This document examines the most up-to-date research on the application of machine learning (ML) techniques in monitoring the conditions of wind turbines. The focus is on classification methods, which are used to identify different types of faults. Th
Externí odkaz:
https://doaj.org/article/f6b86117436342bcba5d13ce72c3d0bf
Autor:
Muralidharan Paramsothy
Publikováno v:
Nanomaterials, Vol 13, Iss 24, p 3162 (2023)
Seventy years ago in 1952, Russian scientists LV Radushkevich and VM Lukyanovich published clear images showing multiwalled carbon nanotubes (MWCNTs) with 50 nm diameters [...]
Externí odkaz:
https://doaj.org/article/dab872af3e7e464fa9f5c3a663264c3e
Spintronic-based neuromorphic hardware enables high-density and rapid data processing at nanoscale lengths. leveraged by the topologically protected spin configurations and low current densities to manipulate magnetic structures such as skyrmion and
Externí odkaz:
http://arxiv.org/abs/2407.08469
Autor:
Low, Yen Sia, Jackson, Michael L., Hyde, Rebecca J., Brown, Robert E., Sanghavi, Neil M., Baldwin, Julian D., Pike, C. William, Muralidharan, Jananee, Hui, Gavin, Alexander, Natasha, Hassan, Hadeel, Nene, Rahul V., Pike, Morgan, Pokrzywa, Courtney J., Vedak, Shivam, Yan, Adam Paul, Yao, Dong-han, Zipursky, Amy R., Dinh, Christina, Ballentine, Philip, Derieg, Dan C., Polony, Vladimir, Chawdry, Rehan N., Davies, Jordan, Hyde, Brigham B., Shah, Nigam H., Gombar, Saurabh
Evidence to guide healthcare decisions is often limited by a lack of relevant and trustworthy literature as well as difficulty in contextualizing existing research for a specific patient. Large language models (LLMs) could potentially address both ch
Externí odkaz:
http://arxiv.org/abs/2407.00541
Autor:
Weber, Bent, Fuhrer, Michael S, Sheng, Xian-Lei, Yang, Shengyuan A, Thomale, Ronny, Shamim, Saquib, Molenkamp, Laurens W, Cobden, David, Pesin, Dmytro, Zandvliet, Harold J W, Bampoulis, Pantelis, Claessen, Ralph, Menges, Fabian R, Gooth, Johannes, Felser, Claudia, Shekhar, Chandra, Tadich, Anton, Zhao, Mengting, Edmonds, Mark T, Jia, Junxiang, Bieniek, Maciej, Väyrynen, Jukka I, Culcer, Dimitrie, Muralidharan, Bhaskaran, Nadeem, Muhammad
2D topological insulators promise novel approaches towards electronic, spintronic, and quantum device applications. This is owing to unique features of their electronic band structure, in which bulk-boundary correspondences enforces the existence of
Externí odkaz:
http://arxiv.org/abs/2406.14209
Autor:
Cai, Ruisi, Muralidharan, Saurav, Heinrich, Greg, Yin, Hongxu, Wang, Zhangyang, Kautz, Jan, Molchanov, Pavlo
Training modern LLMs is extremely resource intensive, and customizing them for various deployment scenarios characterized by limited compute and memory resources through repeated training is impractical. In this paper, we introduce Flextron, a networ
Externí odkaz:
http://arxiv.org/abs/2406.10260
Recent experiments on Cooper pair splitters using superconductor-quantum dot hybrids have embarked on creating entanglement in the solid-state, by engineering the sub-gap processes in the superconducting region. Using the thermoelectric Cooper pair s
Externí odkaz:
http://arxiv.org/abs/2406.06053
Autor:
Feng, Jie, Muralidharan, Manasa, Henriquez-Auba, Rodrigo, Hidalgo-Gonzalez, Patricia, Shi, Yuanyuan
The increasing penetration of converter-based renewable generation has resulted in faster frequency dynamics, and low and variable inertia. As a result, there is a need for frequency control methods that are able to stabilize a disturbance in the pow
Externí odkaz:
http://arxiv.org/abs/2405.20489
In this paper, a new under-actuated Bi-Quadcopter Unmanned Aerial Vehicle is introduced. The proposed drone configuration can be controlled similar to a Bicopter. The dynamics of the proposed Bi-Quadcopter is developed using the Newton-Euler approach
Externí odkaz:
http://arxiv.org/abs/2405.18787