Zobrazeno 1 - 10
of 7 602
pro vyhledávání: '"A., Mahima"'
Autor:
Upadhyay, Mahima, Choudhary, Mahesh, Singh, Namrata, Dubey, Punit, Singh, Shweta, Paul, Sriya, Mishra, Utkarsha, Mishra, G., Mohanto, G., De, Sukanya, Danu, L. S., Lalremruata, B., Kumar, Ajay, Thomas, R. G., Kumar, A.
The current study presents the cross-section measurement of $^{181}$Ta(n,$\gamma$)$^{182}$Ta reaction at 1.37 $\pm$ 0.13, 2.06 $\pm$ 0.14, 2.56 $\pm$ 0.15, and 3.05 $\pm$ 0.17 MeV neutron energies utilizing offline $\gamma$-ray spectroscopy. The neut
Externí odkaz:
http://arxiv.org/abs/2412.18422
Autor:
Singh, Namrata, Choudhary, Mahesh, Gandhi, A., Sharma, Aman, Upadhyay, Mahima, Dubey, Punit, Hingu, Akash, Mishra, G., De, Sukanya, Mitra, A., Danu, L. S., Kumar, Ajay, Thomas, R. G., Sood, Saurav, Prasad, Sajin, Kumar, A.
The neutron capture cross-section for the $^{181}$Ta(n,$\gamma$)$^{182}$Ta reaction has been experimentally measured at the neutron energies 0.53 and 1.05 MeV using off-line $\gamma$-ray spectrometry. $^{115}$In(n,n'$\gamma$)$^{115m}$In is used as a
Externí odkaz:
http://arxiv.org/abs/2412.01385
This work considers the numerical computation of ground states of rotating Bose-Einstein condensates (BECs) which can exhibit a multiscale lattice of quantized vortices. This problem involves the minimization of an energy functional on a Riemannian m
Externí odkaz:
http://arxiv.org/abs/2409.17302
Autor:
Patra, Subhajit, Panda, Sonali, Parida, Bikram Keshari, Arya, Mahima, Jacobs, Kurt, Bondar, Denys I., Sen, Abhijit
Physics-informed neural networks have proven to be a powerful tool for solving differential equations, leveraging the principles of physics to inform the learning process. However, traditional deep neural networks often face challenges in achieving h
Externí odkaz:
http://arxiv.org/abs/2407.18373
Two-stream instability (TSI) is studied analytically in the lunar plasma environment. The electrons in the solar wind constitute the electron-beam and the lunar electron plasma constitutes the background plasma with which the electron-beam interacts
Externí odkaz:
http://arxiv.org/abs/2406.19671
Autor:
Henning, Patrick, Yadav, Mahima
This paper investigates the numerical approximation of ground states of rotating Bose-Einstein condensates. This problem requires the minimization of the Gross-Pitaevskii energy $E$ on a Hilbert manifold $\mathbb{S}$. To find a corresponding minimize
Externí odkaz:
http://arxiv.org/abs/2406.03885
Autor:
Cohn, Michelle, Pushkarna, Mahima, Olanubi, Gbolahan O., Moran, Joseph M., Padgett, Daniel, Mengesha, Zion, Heldreth, Courtney
People now regularly interface with Large Language Models (LLMs) via speech and text (e.g., Bard) interfaces. However, little is known about the relationship between how users anthropomorphize an LLM system (i.e., ascribe human-like characteristics t
Externí odkaz:
http://arxiv.org/abs/2405.06079
The exoplanet detection is the most exciting and challenging field of astronomy. The discovery of many exoplanets has revolutionized our understanding of the formation and evolution of planetary systems and has showed new ways to search for extra ter
Externí odkaz:
http://arxiv.org/abs/2404.09143
Autor:
Singh, Mahima, Sau, Jyotirmoy, Rai, Banik, Panda, Arunanshu, Kumar, Manoranjan, Kumar, Nitesh
Publikováno v:
Physical Review Materials 8, 084201 (2024)
The intrinsic anomalous Hall conductivity (AHC) in a ferromagnetic metal is completely determined by its band structure. Since the spin orientation direction is an important band-structure tuning parameter, it is highly desirable to study the anomalo
Externí odkaz:
http://arxiv.org/abs/2403.19581
Autor:
Kahng, Minsuk, Tenney, Ian, Pushkarna, Mahima, Liu, Michael Xieyang, Wexler, James, Reif, Emily, Kallarackal, Krystal, Chang, Minsuk, Terry, Michael, Dixon, Lucas
Automatic side-by-side evaluation has emerged as a promising approach to evaluating the quality of responses from large language models (LLMs). However, analyzing the results from this evaluation approach raises scalability and interpretability chall
Externí odkaz:
http://arxiv.org/abs/2402.10524