Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- CNRS
- University of Jyväskylä
- Chalmers University of Technology
- Princeton University
- Rutgers University
- Academia Sinica
- ETH Zürich
- Hanyang University
- Harvard University
- IMT Mines Albi
- Institut Català de Nanociència i Nanotecnologia
- Institute of Physics, Zagreb
- Institute of Theoretical Physics
- Massachusetts Institute of Technology
- Northeastern University
- Technical University of Denmark
- The Cyprus Institute
- U.S. Department of Energy (DOE)
- Universitat de Barcelona
- University of Luxembourg
- University of Nevada, Reno
- University of South Carolina
- University of Southern Denmark
- Uppsala universitet
- VIN UNIVERSITY
- 15 more »
- « less
-
Field
-
density functional to ab initio methods coupled to effective field theory) and related numerical and formal techniques. We are particularly fond of interdisciplinary connections and emerging technologies
-
approaches based on density functional theory (DFT) have been introduced in recent years. A new research theme, "organometallic structures (MOFs)," has been introduced more recently, proposing the use
-
Sung, and Ritesh Ghosh. Applicants with particular research interests in heavy-ion collisions, QCD at finite temperature and density, quantum field theories with strong fields, and neutron-star physics
-
of the group, please visit ORCID: 0000-0002-8591-2652 Research Fields (1) Use density functional theory, many-body perturbation theory, and analytical models to study the novel physical properties of materials
-
to apply. We seek candidates with expertise in some or all the following areas: density functional theory, deep learning, high-throughput simulations, molecular dynamics, and materials chemistry. Strong
-
computational condensed matter physics. We seek a motivated researcher with expertise in density functional theory (DFT) to study emergent phenomena in quantum materials. Research Areas - Correlated electronic
-
-Performance Computing Advanced Know-How in the fields of HPC Scientific Domain Expertise: While the position is open to various backgrounds, proven expertise in molecular simulation and density functional
-
. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
-
systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
-
the group’s research and philosophy head over to www.d2r2group.com Qualifications Strong background in ab-initio calculations of materials (density functional theory) and high-performance computing