De: neutron-bounces@neutronsources.org de la part de Boris Khaykovich Envoyé: samedi 29 septembre 2018 05:55 À: Neutron@neutronsources.org Objet: [Neutron] Postdoctoral position in ab initio modeling and neutron scattering of molten salts at MIT Pièces jointes: ATT00001.txt Postdoctoral position in using artificial intelligence and experiment+ab initio modeling to study the molecular structure of molten salt Department of Nuclear Science and Engineering, MIT Cambridge, MA Molten salts are widely used for electrical and thermal energy storage, materials processing, and in Generation-IV Molten-Salt Fission Reactors (MSR) and future fusion reactors (ARC) as a coolant and/or fuel. In particular, the MSR application requires detailed knowledge of the molten salt properties in order to understand and predict the salt’s behavior in service. Fundamental properties of interest include molecular structure and speciation, as well as dynamic properties such as diffusion coefficients for the salt and corrosion and fission products dissolved in it. Computer modeling is necessary to predict changes in physical and chemical properties due to irradiation and burning of dissolved fuel. Our group will perform ab initio molecular dynamics simulations to understand the multi-component liquid solution. Machine learning algorithms will be used to develop a fast-acting model that can handle molten salt with an arbitrary number of chemical elements and be able to predict chemical potential as a function of composition and temperature. The measurement data for the modeling will be obtained with the help of advanced neutron and x-ray scattering and spectroscopy, which provide the most reliable and direct determination of the structure and dynamics of the melts. The successful candidate will work with Dr. Boris Khaykovich and Prof. Ju Li at MITto analyze the experimental data and use the data to build and test atomistic structural and dynamics models with the help of artificial intelligence. Interest and experience are required in ab initio simulations of materials, machine learning, and/or data processing and evaluation of neutron and x-ray diffraction measurements. Background in chemistry, physics, chemical engineering and nuclear engineering are preferred. Please send your info, full resume, and up to three (3) papers, potentially relevant to this project, and any questions to: Dr. Boris Khaykovich Massachusetts Institute of Technology Nuclear Reactor Laboratory e-mail: bkh@mit.edu