Zobrazeno 1 - 10
of 167
pro vyhledávání: '"Murillo, Michael S"'
In the rapidly evolving landscape of education, digital technologies have repeatedly disrupted traditional pedagogical methods. This paper explores the latest of these disruptions: the potential integration of large language models (LLMs) and chatbot
Externí odkaz:
http://arxiv.org/abs/2309.13059
Accurate equations of state (EOS) and plasma transport properties are essential for numerical simulations of warm dense matter encountered in many high-energy-density situations. Molecular dynamics (MD) is a simulation method that generates EOS and t
Externí odkaz:
http://arxiv.org/abs/2211.15883
Publikováno v:
Phys. Rev. E 106, 044610 (2022)
We present a theoretical framework to investigate the microscopic structure of concentrated hard-sphere colloidal suspensions under strong shear flows by fully taking into account the boundary-layer structure of convective diffusion. We solve the pai
Externí odkaz:
http://arxiv.org/abs/2211.01284
Publikováno v:
In Journal of Computational Physics 15 May 2024 505
Autor:
Thompson, Noelle E, Butts, David J, Murillo, Michael S, O'Brien, Daniel J, Christensen, Sonja A, Porter, William F, Roloff, Gary J
Publikováno v:
In Ecological Modelling May 2024 491
Autor:
Silvestri, Luciano G., Stanek, Lucas J., Dharuman, Gautham, Choi, Yongjun, Murillo, Michael S.
We present an open-source, performant, pure-python molecular dynamics (MD) suite for non-ideal plasmas. The code, Sarkas, aims to accelerate the research process by providing an MD code but also pre- and post-processing tools. Sarkas offers the ease
Externí odkaz:
http://arxiv.org/abs/2105.14955
Autor:
Stanek, Lucas J., Clay III, Raymond C., Dharma-wardana, M. W. C., Wood, Mitchell A., Beckwith, Kristian R. C., Murillo, Michael S.
Macroscopic simulations of dense plasmas rely on detailed microscopic information that can be computationally expensive and is difficult to verify experimentally. In this work, we delineate the accuracy boundary between microscale simulation methods
Externí odkaz:
http://arxiv.org/abs/2012.06451
This paper investigates a long-standing question about the effect of surface roughness on turbulent flow: what is the equivalent roughness sand-grain height for a given roughness topography? Deep Neural Network (DNN) and Gaussian Process Regression (
Externí odkaz:
http://arxiv.org/abs/2002.01515
Akademický článek
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Autor:
Sprenkle, Tucker, Dodson, Adam, McKnight, Quinton, Spencer, Ross, Bergeson, Scott, Diaw, Abdourahmane, Murillo, Michael S.
Publikováno v:
Phys. Rev. E 99, 053206 (2019)
Transport properties of high-energy-density plasmas are influenced by the ion collision rate. Traditionally, this rate involves the Coulomb logarithm, $\ln\Lambda$. Typical values of $\ln\Lambda$ are $\approx 10~\mbox{to}~20$ in kinetic theories wher
Externí odkaz:
http://arxiv.org/abs/1905.08715