Plasma Physics

Welcome to the Plasma Physics Research Page! Here we have listed all of our Faculty, Publications, and Labs that are associated with the Plasma Physics Field.


The Christlieb Group

Scientific Leader: Dr. Andrew Christlieb

There are three categories of applications our group considers.  The first is related to modeling complex multi physics problems in plasma science.  The second area we work on is the development of methods that are aimed at solving interface problems in polymer membranes; think fuel cells, solar cells and batteries.  The third area we work on is the development of ultra fast methods (sub-linear methods) for identification of sparse signals. 

Plasma Theory and Simulation Group

Scientific Leader: Dr. John Verboncoeur

Theoretical and computational plasma physics, with a broad range of applications spanning from low temperature plasmas for lighting, thrusters and materials processing to hot plasmas for fusion; from ultra-cold plasmas to particle accelerators; from beams to pulsed power; and from intense kinetic nonequilibrium plasmas to high power microwaves.

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.

MSU Computational Seismology Lab

Scientific Leader: Dr. Min Chen

MSU Computational Seismology Lab works on analyzing, numerical modeling, and full waveform inversion of seismic array data from various sources, such as earthquakes, explosions, and ambient noise sources. Our goal is to better understand dynamic processes of the Earth on different time and spatial scales.

Krishnan Lab for Genomics and Computational Biology

Scientific Leader: Dr. Arjun Krishnan

The Krishnan lab develops genomics/computational approaches to gain more nuanced and accurate insights into how our genome relates to health and disease. Combining statistics/machine-learning with large-scale genomic/clinical data, we build models and predictions about the genetic basis of biomedical phenomena, especially in an age-, sex-, and tissue-specific manner. Our overarching goal is to use these methods and insights to transform our ability to link an individual's genomic profiles to her/his physiological traits, disease risks, and clinical outcomes.

CEDAR Team: ComplEx Data Analysis Research

Scientific Leader: Dr. Matthew Hirn

The CEDAR team works at the interface of harmonic analysis and machine learning. We develop tools that uncover complex, multiscale patterns in high dimensional data by considering the underlying data geometries, invariants, hierarchies and statistics. Our focus is on rigorous mathematical theory coupled with state of the art numerical results in application specific domains. Research areas include:

  • Wavelet theory and deep learning (scattering transforms)
  • Diffusion based manifold learning 
  • Smooth (Whitney) extensions and interpolations of data
  • Many body problems in quantum chemistry
  • Analysis of bio-medical data 
Alex Dickson Lab

Scientific Leader: Dr Alex Dickson

Pharmacological biophysics / Network modeling / Rare event sampling methods


September 8, 2017
Self-Driven Droplet Powered By Active Nematics

Faculty member Tony Gao gets paper published on the cover of current issue of Physical Review Letters.

August 2, 2017
A Conservative, Entropic Multispecies BGK Model

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.


July 20, 2017
A Petrov–Galerkin Spectral Element Method for Fractional Elliptic Problems

CMSE Professor Mohsen Zayernouri, the director of FMATH group, is publishing a new paper in Computer Methods in Applied Mechanics and Engineering on September 1, 2017.


June 15, 2017
Petrov-Galerkin and Spectral Collocation Methods for Distributed Order Differential Equations

CMSE Professor Mohsen Zayernouri, the director of FMATH group, is publishing a new paper in SIAM Journal of Scientific Computing on 25 May 2017


June 15, 2017
Time Coupled Diffusion Maps

Cornell Universiry Library published a paper by faculty member Matthew J. Hirn on 15 August, 2016.


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

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.


June 8, 2017
Wavelet Scattering Regression of Quantum Chemical Energies

Multiscale Modeling and Simulation has published the following paper by Matthew Hirn, Stephane Mallat, & Nicolas Poilvert for their work in Wavelet Scattering on 2 May 2017.


June 7, 2017
A Petrov-Galerkin Spectral Method of Linear Complexity for Fractional Multi-Term ODEs on the Half Line

CMSE Professor Mohsen Zayernouri, the director of FMATH group, published a new paper in SIAM Journal of Scientific Computing (SIAM J. Sci. Comput., 39(3), A922–A946) on 25 May 2017. 


June 7, 2017
Multiple Ligand Unbinding Pathways and Ligand-Induced Destabilization Revealed by WExplore

The Biophysical Journal had published a paper by Alex Dickson & Samual D. Lotz, published on 28 February 2017 for their work on Ligand Pathways.


June 7, 2017
Kinetics of Ligand Binding Through Advanced Computational Approaches: A Review

Current Topics in Medicinal Chemistry featured a new paper by Alex Dickson, Pratyush Tiwary, & Harish Vashisth on 14 April 2017 for their work in Kinetics of Ligand Binding.


June 7, 2017
Optimal Allosteric Stabilization Sites using Contact Stabilization Analysis

The Journal of Computational Chemistry featured a new paper by Alex Dickson, Christopher T. Bailey, & John Karanicolas, on 5 June 2017.


May 4, 2017
A Review of Applications of Fractional Calculus in Earth System Dynamics

CMSE Professor Mohsen Zayernouri, the director of FMATH group, has published a new paper in The Journal of Chaos, Solitons, & Fractals (2017).


May 2, 2017
Rapidly Computing Sparse Legendre Expansions via Sparse Fourier Transforms

Xianfeng Hu, Mark Iwen, & Hyejin Kim authored a new paper for their work in Rapid Computing published by Numer. Algor. (2017) 74: 1029.
DOI: 10.1007/s11075-016-0184-x


April 12, 2017
Computing Minimal Interpolants in C^1,1(R^d)

Ariel Herbert-Voss, Matthew J. Hirn, & Frederick McCollum published a paper in Revista Mathematica Iberoamericana for their work on Computing Minimal Interpolants.


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

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.


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

M. S. Murillo & M. Marciante published a new paper on Thermodynamic and Kinetic Properties in Phys. Rev. Lett. 118, 025001 – 10 January 2017

March 22, 2017
CMSE faculty, M. Zayernouri, paper recognized as one the top 10 most cited JCP papers of 2014

M. Zayernouri & G.E. Karniadakis published a new paper in The Journal of Computational Physics, vol. 257, Part A, pp. 460–480, Jan. 2014.
DOI: 10.1016/

June 22, 2016
Fractional-order uniaxial visco-elasto-plastic models for structural analysis

CMSE Professor Mohsen Zayernouri, the director of FMATH group, has published a new paper in Computer Methods in Applied Mechanics and Engineering.

Link: doi:10.1016/j.cma.2016.05.030

May 30, 2016
Ligand Release Pathways Obtained with WExplore: Residence Times and Mechanisms

Alex Dickson & Samuel D Lotz published a new paper for their work in Ligand Pathways on 26 May 2016. in J. Phys. Chem. B

DOI: 10.1021/acs.jpcb.6b04012