Zobrazeno 1 - 10
of 3 055
pro vyhledávání: '"P, Mukherji"'
In this paper, we study the trajectories of massive and massless particles in four dimensional static and spherically symmetric black holes in dRGT massive gravity theory via phase-plane analysis and point out several novel features. In particular, w
Externí odkaz:
http://arxiv.org/abs/2411.01261
Autor:
Mukherji, Debashish
Publikováno v:
Macromolecular Rapid Communications 45, 2400517 (2024)
Thermal conductivity coefficient $\kappa$ measures the ability of a material to conduct a heat current. In particular, $\kappa$ is an important property that often dictates the usefulness of a material over a wide range of environmental conditions. F
Externí odkaz:
http://arxiv.org/abs/2409.03173
Publikováno v:
Macromolecules 57, 9181 (2024)
Heat management in devices is a key to their efficiency and longevity. Here, thermal switches (TS) are of great importance because of their ability to transition between different thermal conductivity $\kappa$ states. While traditional TS are bulky a
Externí odkaz:
http://arxiv.org/abs/2407.13063
Autor:
Boutin, Victor, Mukherji, Rishav, Agrawal, Aditya, Muzellec, Sabine, Fel, Thomas, Serre, Thomas, VanRullen, Rufin
Humans can effortlessly draw new categories from a single exemplar, a feat that has long posed a challenge for generative models. However, this gap has started to close with recent advances in diffusion models. This one-shot drawing task requires pow
Externí odkaz:
http://arxiv.org/abs/2406.06079
Autor:
Mukherji, Debashish
Publikováno v:
Phys. Rev. Materials 8, 085601 (2024)
Thermal transport coefficient $\kappa$ is an important property that often dictates broad applications of a polymeric material, while at the same time its computation remains challenging. In particular, classical simulations overestimate $\kappa$ tha
Externí odkaz:
http://arxiv.org/abs/2405.18811
Autor:
Mukherji, Rishav, Schöne, Mark, Nazeer, Khaleelulla Khan, Mayr, Christian, Kappel, David, Subramoney, Anand
Activity and parameter sparsity are two standard methods of making neural networks computationally more efficient. Event-based architectures such as spiking neural networks (SNNs) naturally exhibit activity sparsity, and many methods exist to sparsif
Externí odkaz:
http://arxiv.org/abs/2405.00433
Autor:
Iyer, Shiva, Yao, Changyu, Lazorik, Olivia, Kashem, Md Shakil Bin, Wang, Pengyun, Glenn, Gianna, Mohs, Michael, Shi, Yinyao, Mansour, Michael, Henriksen, Erik, Murch, Kater, Mukherji, Shankar, Zu, Chong
Publikováno v:
Phys. Rev. Applied 22, 064076 (2024)
Probing electrical and magnetic properties in aqueous environments remains a frontier challenge in nanoscale sensing. Our inability to do so with quantitative accuracy imposes severe limitations, for example, on our understanding of the ionic environ
Externí odkaz:
http://arxiv.org/abs/2401.17372
Black holes in anti de Sitter (AdS) spacetimes undergo phase transitions which typically lead to the existence of critical points, that can be classified using topological techniques. Availing the Bragg-Williams construction which provides an off-she
Externí odkaz:
http://arxiv.org/abs/2312.10784
Cardy-Verlinde (CV) formula relates the entropy of a conformal field theory (CFT) in arbitrary dimensions to its total energy (with an appropriate insertion of additional internal energy for charged systems) and Casimir energy. While several aspects
Externí odkaz:
http://arxiv.org/abs/2312.10783
Autor:
Nazeer, Khaleelulla Khan, Schöne, Mark, Mukherji, Rishav, Vogginger, Bernhard, Mayr, Christian, Kappel, David, Subramoney, Anand
As large language models continue to scale in size rapidly, so too does the computational power required to run them. Event-based networks on neuromorphic devices offer a potential way to reduce energy consumption for inference significantly. However
Externí odkaz:
http://arxiv.org/abs/2312.09084