Zobrazeno 1 - 10
of 10 258
pro vyhledávání: '"P, Murugan"'
The Baxter robot is a standard research platform used widely in research tasks, supported with an SDK provided by the developers, Rethink Robotics. Despite the ubiquitous use of the robot, the official software support is sub-standard. Especially, th
Externí odkaz:
http://arxiv.org/abs/2409.00867
We construct a $d$-dimensional Eddy Damped Quasi-Normal Markovian (EDQNM) Closure Model to study dynamo action in arbitrary dimensions. In particular, we find lower $d_L$ and upper $d_U$ critical dimensions for sustained dynamo action in this incompr
Externí odkaz:
http://arxiv.org/abs/2408.01266
Autor:
Mandal, Rituparno, Huang, Rosalind, Fruchart, Michel, Moerman, Pepijn G., Vaikuntanathan, Suriyanarayanan, Murugan, Arvind, Vitelli, Vincenzo
Physical learning is an emerging paradigm in science and engineering whereby (meta)materials acquire desired macroscopic behaviors by exposure to examples. So far, it has been applied to static properties such as elastic moduli and self-assembled str
Externí odkaz:
http://arxiv.org/abs/2406.07856
This work investigates the unsteady behavior of unstart phenomena within a scramjet inlet using advanced computational techniques. Scramjets and ramjets, with their reliance on inlet compression, offer promising airbreathing propulsion for hypersonic
Externí odkaz:
http://arxiv.org/abs/2405.17671
Autor:
Ravasio, Riccardo, Husain, Kabir, Evans, Constantine G., Phillips, Rob, Ribezzi, Marco, Szostak, Jack W., Murugan, Arvind
Extant life contains numerous non-equilibrium mechanisms to create order not achievable at equilibrium; it is generally assumed that these mechanisms evolved because the resulting order was sufficiently beneficial to overcome associated costs of time
Externí odkaz:
http://arxiv.org/abs/2405.10911
A persistent public health challenge is finding immunization schemes that are effective in combating highly mutable pathogens such as HIV and influenza viruses. To address this, we analyze a simplified model of affinity maturation, the Darwinian evol
Externí odkaz:
http://arxiv.org/abs/2404.15634
Biological systems offer a great many examples of how sophisticated, highly adapted behavior can emerge from training. Here we discuss how training might be used to impart similarly adaptive properties in physical matter. As a special form of materia
Externí odkaz:
http://arxiv.org/abs/2403.05990
Autor:
Adiyeke, Esra, Ren, Yuanfang, Shickel, Benjamin, Ruppert, Matthew M., Guan, Ziyuan, Kane-Gill, Sandra L., Murugan, Raghavan, Amatullah, Nabihah, Stottlemyer, Britney A., Tran, Tiffany L., Ricketts, Dan, Horvat, Christopher M, Rashidi, Parisa, Bihorac, Azra, Ozrazgat-Baslanti, Tezcan
Background: Acute kidney injury (AKI), the decline of kidney excretory function, occurs in up to 18% of hospitalized admissions. Progression of AKI may lead to irreversible kidney damage. Methods: This retrospective cohort study includes adult patien
Externí odkaz:
http://arxiv.org/abs/2402.04209
Microbial ecosystems are commonly modeled by fixed interactions between species in steady exponential growth states. However, microbes often modify their environments so strongly that they are forced out of the exponential state into stressed or non-
Externí odkaz:
http://arxiv.org/abs/2401.02556
Learning algorithms based on backpropagation have enabled transformative technological advances but alternatives based on local energy-based rules offer benefits in terms of biological plausibility and decentralized training. A broad class of such lo
Externí odkaz:
http://arxiv.org/abs/2312.17723