Zobrazeno 1 - 10
of 429
pro vyhledávání: '"Shah, Karan"'
Autor:
Shah, Karan, Cangi, Attila
Time-dependent density functional theory (TDDFT) is a widely used method to investigate electron dynamics under various external perturbations such as laser fields. In this work, we present a novel approach to accelerate real time TDDFT based electro
Externí odkaz:
http://arxiv.org/abs/2407.09628
Autor:
Shah, Karan, Butler, Julie, Knaub, Alexis, Zenginoğlu, Anıl, Ratcliff, William, Soltanieh-ha, Mohammad
It is becoming increasingly important that physics educators equip their students with the skills to work with data effectively. However, many educators may lack the necessary training and expertise in data science to teach these skills. To address t
Externí odkaz:
http://arxiv.org/abs/2403.00961
Electronic structure theory calculations offer an understanding of matter at the quantum level, complementing experimental studies in materials science and chemistry. One of the most widely used methods, density functional theory (DFT), maps a set of
Externí odkaz:
http://arxiv.org/abs/2312.15301
Autor:
Shah, Karan A., Ringuette, Matthew J.
The unsteady lift of a high-angle-of-attack, flat-plate wing encountering finite-length obstacles is studied using towing-tank force measurements. The wing translates from rest and interacts with a rectangular channel, ceiling, or ground obstacle. Va
Externí odkaz:
http://arxiv.org/abs/2310.09244
Streaming Linear Discriminant Analysis (LDA) while proven in Class-incremental Learning deployments at the edge with limited classes (upto 1000), has not been proven for deployment in extreme classification scenarios. In this paper, we present: (a) X
Externí odkaz:
http://arxiv.org/abs/2307.11317
We demonstrate the utility of physics-informed neural networks (PINNs) as solvers for the non-relativistic, time-dependent Schr\"odinger equation. We study the performance and generalisability of PINN solvers on the time evolution of a quantum harmon
Externí odkaz:
http://arxiv.org/abs/2210.12522
Autor:
Jeyaprakash, Prajith, Pathan, Faraz, Ozawa, Koya, Robledo, Kristy P., Shah, Karan K, Morton, Rachael L., Yu, Christopher, Madronio, Christine, Hallani, Hisham, Loh, Han, Boyle, Andrew, Ford, Thomas J., Porter, Thomas R., Negishi, Kazuaki
Publikováno v:
In American Heart Journal September 2024 275:163-172
Autor:
Alfirevic, Andrej, Almonacid-Cardenas, Federico, Yalcin, Esra Kutlu, Shah, Karan, Kelava, Marta, Sessler, Daniel I., Turan, Alparslan
Publikováno v:
In Journal of Clinical Anesthesia August 2024 95
Autor:
Nishant Babubhai Prajapati, Yash Dharmendra Mehta, Shah Karan Bhavesh, Supriya Deepak Malhotra
Publikováno v:
Perspectives In Medical Research, Vol 11, Iss 3, Pp 6-18 (2023)
Background: To conduct a network meta-analysis comparing the safety and efficacy of five anti-obesity drugs approved by the United States Food and Drug Administration (US FDA)-Bupropion/Naltrexone combination (BUP/NLX), Liraglutide (LIRA), Orlistat (
Externí odkaz:
https://doaj.org/article/d29330f7659d4ca186573045924e0f05
With the growth of computational resources, the scope of electronic structure simulations has increased greatly. Artificial intelligence and robust data analysis hold the promise to accelerate large-scale simulations and their analysis to hitherto un
Externí odkaz:
http://arxiv.org/abs/2110.00997