CV.tex

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\begin{center}
{\LARGE \textbf{Aidan P. Thompson}} \\
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%
Sandia National Laboratories \\
Center for Computing Research \\
%Computational Multiscale Department (Org.~1444) \\
P.O. Box 5800, MS 1322, Albuquerque, NM 87185 \\
athomps@sandia.gov \hspace{.1in} (505) 218-1011 \\
\href{http://www.cs.sandia.gov/~athomps/}{www.cs.sandia.gov/$\sim$athomps} \\
%1150 Marigold Dr NE NE \\
%Albuquerque, NM 87122 \\
%aidan.thompson@gmail.com \\
%505-218-1011 \\
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\noindent
{\large \textbf{EDUCATION}}
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\textbf{Ph.D., Chemical Engineering}, University of Pennsylvania, 1994 
%{\it Dissertation}: Structure and Thermodynamics of Polymers in Random Porous Materials \\
%
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%{\it Advisor}: Professor Eduardo Glandt
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\textbf{M.S.E, Chemical Engineering}, University of Pennsylvania, 1991 
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\textbf{B.S., Chemical Engineering}, University College Dublin, National University of Ireland, 1986
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\noindent
{\large \textbf{RESEARCH INTERESTS}}
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%% \begin{minipage}{\minipagewidth}
%% Data-Driven Interatomic Potentials

%% \vspace{\listskip}
%% Atomistic Materials Simulation

%% \vspace{\listskip}
%% High-Performance Computing
%% \end{minipage}\vspace{\parskip}

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\noindent \textbf{Data-Driven Interatomic Potentials} \\
\indent spectral neighbor analysis potential (SNAP) \\
\indent automated training and validation software (FitSNAP) \\
\indent rotation-invariant atomic environment descriptors \\
\indent ab initio training data generation 
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\noindent \textbf{Atomistic Materials Simulation} \\
\indent LAMMPS software development \\
\indent interatomic potential development \\
\indent equilibrium and non-equilibrium molecular dynamics \\
\indent kinetic Monte Carlo \\
\indent equilibrium Monte Carlo \\
\indent statistical physics
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\noindent \textbf{High-Performance Computing} \\
\indent scalable parallel algorithms \\
\indent code optimization for advanced architectures \\
\indent software development for leadership computing platforms
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%% CURRENT RESEARCH
%% SNAP (Spectral Neighbor Analysis Potential): Advancing the state-of-the-art of data-driven interatomic potentials for accurate large-scale atomistic simulations of materials. Developing efficient scalable implementations of SNAP for advanced architectures.  Developing Python framework for fitting SNAP potentials to large sets of quantum data.  Generating robust, fast, and accurate potentials for predictive atomistic simulations of complex multiscale materials physics, including phase change kinetics, plastic yielding, and plasma-surface interactions.
%% Materials Chemistry Modeling: Developing and applying massively parallel implementations of reactive force fields to multi-million atom simulations of energetics materials at extreme conditions.  
%% LAMMPS: Developing LAMMPS since 1997



%\input{CV_employment_long.tex}
\input{CV_employment_short.tex}

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%\input{CV_leadership.tex}

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%\input{CV_software.tex}

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\begin{bibunit}[unsrtnat]
  \renewcommand{\refname}{{\large PEER-REVIEWED JOURNAL ARTICLES \\
    \noindent Google Scholar: \url{https://scholar.google.com/citations?user=RxtcvuUAAAAJ&hl=en}}}  \nocite{*}
  \putbib[CV_journal_articles]
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  \renewcommand{\refname}{{\large PROFESSIONAL RECOGNITION AND AWARDS}}
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  \renewcommand{\refname}{{\large POST-DOCTORAL MENTORSHIP}}
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  \renewcommand{\refname}{{\large STUDENT MENTORSHIP}}
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\input{CV_service.tex}

\input{CV_referee.tex}

\input{CV_proposal.tex}

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%\noindent
%{\large \textbf{REFERENCES}}
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%References available upon request.

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