activity
20072023
most citedData-driven prediction of the equivalent sand-grain height in rough-wall turbulent flows

77 citations · 294 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CY2023★ 26 cited

Beyond Traditional Teaching: The Potential of Large Language Models and Chatbots in Graduate Engineering Education

Mahyar Abedi, Ibrahem Alshybani, Muhammad Rubayat Bin Shahadat +1

In the rapidly evolving landscape of education, digital technologies have repeatedly disrupted traditional pedagogical methods. This paper explores the latest of these disruptions:…

cond-mat.stat-mech2022★ 9 cited

Yukawa Friedel-Tail pair potentials for warm dense matter applications

M. W. C. Dharma-wardana, Lucas J. Stanek, Michael S. Murillo

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. M…

cond-mat.soft2022★ 6 cited

Microscopic theory for the pair correlation function of liquidlike colloidal suspensions under shear flow

Luca Banetta, Francesco Leone, Carmine Anzivino +2

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…

physics.plasm-ph2021★ 15 cited

Sarkas: A Fast Pure-Python Molecular Dynamics Suite for Plasma Physics

Luciano G. Silvestri, Lucas J. Stanek, Gautham Dharuman +2

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…

physics.plasm-ph2020★ 24 cited

Efficacy of the Radial Pair Potential Approximation for Molecular Dynamics Simulations of Dense Plasmas

Lucas J. Stanek, Raymond C. Clay, M. W. C. Dharma-wardana +3

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…

physics.flu-dyn2020★ 77 cited

Data-driven prediction of the equivalent sand-grain height in rough-wall turbulent flows

Mostafa Aghaei Jouybari, Junlin Yuan, Giles J. Brereton +1

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 t…