Faculty Directory
Erik Luijten

Liu-Wang Liming Professor

Professor of Materials Science and Engineering and (by courtesy) Engineering Sciences and Applied Mathematics, Physics and Astronomy, and Chemistry

Associate Dean for Research and Doctoral Education

Contact

2220 Campus Drive
Cook Hall 2045
Evanston, IL 60208

Email Erik Luijten

Website

Computational Soft Matter Lab


Departments

Materials Science and Engineering

Engineering Sciences and Applied Mathematics

Affiliations

PhD Program in Applied Physics

Education

Ph.D. Physics, Delft University of Technology, Delft, Netherlands

M.Sc. Physics, Institute for Theoretical Physics, Utrecht University, Utrecht, Netherlands


Research Interests

Computational Materials Science of Soft Matter

My research focuses on the statistical mechanics and thermodynamics of materials, with a strong emphasis on complex fluids, such as polymeric systems, colloids, electrolytes, and active matter. These systems are studied predominantly by means of computer simulations, through which we aim to realize our primary goals: First, to understand experimentally observed phenomena from the underlying microscopic features of a system, and second, to test the predictive value of analytic theories describing these systems. The insight thus gained allows the prediction of yet unknown properties of materials and the design of new materials.

Current research projects concern problems in self-assembly (from colloidal materials to nanoparticles for drug delivery), self-organization, charge transport in electrolytes, programmable and active matter, and dielectric materials.

Despite the steady increase in available computer power, many of these problems hover on the verge of what is feasible. Therefore, in order to obtain scientifically worthwhile results within an acceptable time frame, it is essential to employ state-of-the-art techniques. We take an active interest in the development of new methodologies, both simulation techniques and advanced approaches to data analysis. Notable advances have been achieved in the development of Monte Carlo algorithms for systems with long-range interactions and systems containing components with large size disparities; in both cases, our methods accelerate the simulations by many orders of magnitude. Important recent advances also include highly efficient methods for dynamic dielectric materials and electrokinetic phenomena.

 


Significant Recognition

  • Fellow of the American Association for the Advancement of Science (2023)
  • Fellow, American Physical Society (2013)
  • Xerox Award for Faculty Research (2006)
  • NSF CAREER Award (2004)
  • Helmholtz Award, International Association for the Properties of Water and Steam (2003)
  • Collins Scholar, Academy for Excellence in Engineering Education (2001-2002)

Significant Professional Service

  • Racheff Assistant Professor (2001-2003)

Selected Publications