Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Chalmers University of Technology
- Delft University of Technology (TU Delft)
- National Energy Technology Laboratory (NETL)
- National University of Singapore
- ETH Zurich
- Nanyang Technological University
- Queensland University of Technology
- Tufts University
- University of Illinois Chicago
- Villanova University
-
Field
-
. Major duties include: Calculate interaction energies from density-function theory Train machine learning models/potentials Conduct atomistic simulations to explore adsorption/diffusion Analyze
-
. As a PhD researcher, you will unravel the atomic-scale mechanisms of hydrogen embrittlement in compositionally complex recycled steels, using density functional theory and machine-learned interatomic
-
compositionally complex recycled steels, using density functional theory and machine-learned interatomic potentials, in close collaboration with leading academic partners and Tata Steel. Job description At TU Delft
-
and machine learning with density functional theory, or other similarly relevant computational methods, to advance understanding of materials design predictions for 2D and 3D systems with electronic and
-
deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are looking for a Research Fellow to conduct Density Functional Theory
-
theory doctoral student on the project, you will: Use crystal-structure prediction algorithms together with periodic Density Functional Theory to search for stable Xn (C6 O6 )m phases across a range of
-
: Postdoctoral Researcher - College of Engineering Position Type: Faculty Location: Villanova, PA Recruitment Type: Internal/External Applicants Work Schedule: full-time/12-months Department: 959-Center for Energy
-
economy. As a postdoctoral researcher, you will unravel how silicon suppresses liquid copper infiltration at the atomic scale, using density functional theory-accurate machine-learned potentials and
-
at the atomic scale, using density functional theory-accurate machine-learned potentials and molecular dynamics simulations, in close collaboration with leading European research institutes and steel industry
-
National Energy Technology Laboratory (NETL) | Pittsburgh, Pennsylvania | United States | about 17 hours ago
computational physics, chemistry, and materials science. Research experience involving density functional theory and ML simulations and is Familiarity with software packages such VASP, CP2K, Gaussian, Scikit