Nathan Nichols

Nathan Nichols

Graduate Student in Materials Science

University of Vermont

Biography

Nathan Nichols is a graduate student of materials science at the University of Vermont. His research focuses on development of high performance computational algorithms to explore the field of condensed matter physics. Special interests include continuous space quantum Monte Carlo algorithms, analytic continuation of imaginary-time correlation functions, exotic phases in low dimensional systems (especially strained graphene and nanoporous environments), and using evolutionary computation and machine learning approaches for the quantum many-body problem. Check out his GitHub and code.delmaestro.org for publicly available samples of his code.

Interests

  • Quantum Monte Carlo
  • Evolutionary Computation
  • Exotic Quantum Phases in Low Dimensional Systems
  • Machine Learning for the Quantum Many-Body Problem

Education

  • PhD in Materials Science, 2021 (prospective)

    University of Vermont

  • Certificate of Graduate Study in Complex Systems, 2021 (prospective)

    University of Vermont

  • BSc in Chemistry, Physics, and Mathematics, 2014

    Hartwick College

Recent Posts

Projects

Algorithmic Development for Quantum Monte Carlo

Use parallelization, deep learning, and evolutionary computation for algorithmic improvements to continuous space quantum Monte Carlo methods.

Analytic Continuation Problem

Direct comparison of experimental spectra with imaginary time density-density correlation functions

Dimensional Reduction of Superfluid Helium

Realize a Tomanaga-Luttinger liquid of helium.

Graphene Films

Extension of DLP theory using quasi-two-dimensional materials.

Adsorption by Design

Mechanical tuning of interaction potentials.

Recent & Upcoming Talks

Recent Publications

Quickly discover relevant content by filtering publications.