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-signing date. Background or strong interest in at least one of the following: DFT/molecular simulation, machine learning for chemistry, or zeolite/heterogeneous catalysis. Contract details Three-year pre
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at the University of Rouen Normandie is seeking a motivated PhD candidate for the CRONOSS project, which aims to revolutionize crystallization control by combining in silico simulations with experimental validation
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of configurations generated in silico as well as their thermodynamic, dynamic (phonon), and mechanical properties, and performing DFT/MLIP NpT and NVT molecular dynamics simulations. - Analyzing and exploiting
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the test engineering team on silicon characterization and validation Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/dft-architect Requirements Research
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, Ansys, Lumerical, or Sonnet Experience with electronic design automation (EDA) tools Experience working with ab-initio methods for materials simulation e.g. Density Functional Theory (DFT) Experience
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functional theory (DFT) is used to simulate the adsorption properties of the identified MOFs. To date, some studies have already demonstrated this feasibility for the adsorption of toxic molecules, but
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physical techniques. Responsibilities and tasks: • In-depth and extensive bibliographic study; • Optimization of the crystal growth process through numerical models; • DFT and DFT+eDMFT studies
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. The ideal candidate will have a strong background in modeling and simulation of atomic and molecular structures, along with extensive experience in analyzing the electronic and structural properties
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NIST only participates in the February and August reviews. There is a growing need for high-performance materials for various technological applications. To address this need, the NIST-JARVIS (https
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) The overall following data and analyses of the different physical effects (orbital vs. Spin contribution) will be accompanied by the development of advanced theory/model/numerical simulations and possibly DFT