APS Fellowship

Fellowship in the American Physical Society is a great honor. In accordance with the APS Constitution, "there shall be elected to Fellowship only such Members who have contributed to the advancement of physics by independent, original research or who have rendered some other special service to the cause of the sciences". All division members are invited to nominate deserving colleagues as potential Fellows of the APS.
Gray arrow DCOMP Deadline for APS Fellowship Nomination: Monday, June 29, 2020
Gray arrow APS Fellowship Information

APS Fellows Nominated by DCOMP  

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Amar, Jacques [2014]
University of Toledo
Citation: For the development and use of novel computational methods which have advanced our fundamental understanding of a range of problems in condensed matter and statistical physics, including the kinetics of domain growth, surface roughening, crystal growth and thin film deposition.

Boronat, Jordi [2014]
Universitat Politecnica de Catalunya
Citation: For his development and implementation of high order imaginary-time propagators in Diffusion and Path-Integral Monte Carlo simulations and for their use for the accurate determination of equation of state of quantum fluids and dilute Fermi gases in various geometries and in the BEC-BCS crossover regime.

Canning, Andrew M. [2014]
Lawrence Berkeley National Laboratory
Citation: For his important contributions to the development of parallel and computational algorithms for a diverse range of electronic structure methods and their application to systems ranging from nanostructures, complex magnetic systems to nuclear detection materials.

Escobedo, Fernando A. [2014]
Cornell University
Citation: For the elucidation and prediction of complex phases formed by block copolymers, elastomers, and colloidal suspensions of anisotropic particles, and the advancement of novel Monte Carlo simulation methods.

Gonis, Antonios [2014]
Lawrence Livermore National Laboratory
Citation: For advancing multiple scattering theory electronic structure methods for metals, alloys and interfaces and for the dissemination of these techniques in condensed matter and materials science.

Hellberg, C. Stephen [2014]
Naval Research Laboratory
Citation: For creative and influential contributions in the fields of strongly correlated materials, quantum dots, defects, and heterostructures.

Laradji, Mohamed [2014]
University of Memphis
Citation: For his pioneering and seminal contributions to applications of computational techniques in elucidating physics of bio-membranes, complex fluids, and of polymers.

Marzari, Nicola [2014]
Ecole Polytechnique Federale de Lausanne
Citation: For the development of creative and original methods for ab initio calculations of materials properties, in particular Wannier-based electronic structure methods and first principles simulations of transport properties of solids and nanostructures.

Nakamura, Kohji [2014]
Mie University
Citation: For his contributions to the development of first-principles methods and their use in elucidating the physics of noncollinear magnetism, magnetocrystalline anisotropy, and external electric field-induced magnetic phenomena at surfaces and interfaces.

Pandey, Ravindra [2014]
Michigan Technological University
Citation: For creative use of advanced computational techniques from materials physics and quantum chemistry to gain insights into nanostructure behaviors, especially for his prescient recognition of the looming importance of such calculations for predicting bio-nano hybrid material properties.

Romero, Aldo H. [2014]
West Virginia University
Citation: For his seminal contributions to open-source electronic structure codes, and the elastic and thermal characterization of semiconductors, metals, and complex nanostructures at ambient and high pressures.

Rudd, Robert E. [2014]
Lawrence Livermore National Laboratory
Citation: For seminal contributions to multiscale modeling of materials physics and science in support of national security.

Sumpter, Bobby G. [2014]
Oak Ridge National Laboratory
Citation: For outstanding scientific impact and development in computational soft matter and nanoscience through the development and use of principles from computer science and mathematics and the results of theoretical physics and chemistry to facilitate solving materials problems and discovery of new functional materials.

Wang, Cai-Zhuang [2014]
Iowa State University
Citation: For significant advances in developing computational methods including tight-binding molecular dynamics for atomistic simulations, genetic algorithm for crystal and interface structure prediction, and Gutzwiller density functional theory for strongly correlated electron systems.