Michael S. Murillo

Michael S. Murillo

Professor, Department of Computational Mathematics, Science and Engineering;
Department of Chemical Engineering and Materials Science

Room 1508C, Engineering Building
  428 S. Shaw Ln.
 (517) 432-0196
  murillom@msu.edu

BSEE, University of New Mexico

PhD, Physics, Rice University

Michael Murillo is a theoretical and computational physicist focusing on particle-based methods for simulating interacting systems of particles (molecular dynamics), fluids (smoothed-particle hydrodynamics) or people (agent-based modeling). His career began as a Director’s Postdoctoral Fellow in the Theoretical Division at Los Alamos National Laboratory (LANL), after which he was a staff scientist at LANL for many years. Prof. Murillo currently has a joint appointment here at MSU in the CMSE and CHEMS departments. He has more than 80 peer-reviewed publications, and he is a Fellow of the American Physical Society.

•    Computational plasma physics

•    Molecular dynamics simulations of non-ideal plasmas

•    Agent-based modeling of infectious disease outbreaks

Murillo Group

Scientific Leader: Dr. Michael Murillo

Our group is involved in the two seemingly disparate research directions of computational plasma physics and agent-based modeling. In both cases, we employ computational methods for interacting many-body systems to understand the collective dynamics of the systems we study.

A Conservative, Entropic Multispecies BGK Model
August 2, 2017

The Murillo Group has recently released a new paper published by The Journal of Statistical Physics on August, 2017 about Conservative, Entropic Multispecies BGK Model.

Link: https://link.springer.com/article/10.1007/s10955-017-1824-9

A Generalized Ewald Decomposition for Screened Coulomb Interactions
June 8, 2017

CMSE researchers Gautham Dharuman & Michael Murillo have a new paper published by The Journal of Chemical Physics for their work involving Ewald method and medium-range interactions for charged-particle systems.

Link: http://dx.doi.org/10.1063/1.4973842

Electron-ion Temperature Equilibration in Hydrogen Plasmas within the Coupled-mode Regime
April 10, 2017

The Murillo Group has released a new paper published by Physical Review E on April 10th, 2017 about Hydrogen Plasmas within the Coupled-mode Regime.

Link: https://journals.aps.org/pre/abstract/10.1103/PhysRevE.95.043202

CMSE faculty Michael Murillo's paper was published by the American Physical Society's Physical Review Letters.
March 27, 2017

M. S. Murillo & M. Marciante published a new paper on Thermodynamic and Kinetic Properties in Phys. Rev. Lett. 118, 025001 – 10 January 2017
Link: https://doi.org/10.1103/PhysRevLett.118.025001
 

The Murillo Group is developing new computational methods for modeling non-ideal plasmas using both high-performance computing and machine learning techniques. Research will be carried out in the areas of magnetized ultracold plasmas, transport in non-ideal plasmas and implementation of new HPC methods in our MD code Sarkas. The successful application will work with Prof. Murillo and other members of his group, and will have a strong background or interest in plasma physics, quantum mechanics, statistical mechanics, numerical methods, scientific computing, machine learning and multiscale modeling. 

https://murillogroupmsu.com/

A viscous quantum hydrodynamics model based on dynamic density functional theory

A Diaw, MS Murillo

Scientific Reports, in press, 2017

 

Interfacial mixing in high-energy-density matter with a multiphysics kinetic model

JR Haack, CD Hauck, MS Murillo

Physical Review E, in press, 2017

 

Controllable non-ideal plasmas from photoionized compressed gases

G Dharuman, LG Stanton, MS Murillo

Physical Review Letters, in press, 2017

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FS-17: CMSE 201 Intro to Computational Modeling

FS-17: CMSE 499 Independent Study in CMSE

SS-18: CMSE 890 Section 002 Particle Methods of Simulations

FS-18: CMSE 890 Section 001 Kinetic Theory

Click "Teaching" link to see past courses.