In this project, the student will help set up and perform density functional theory (DFT) and molecular dynamics (MD) simulations to study the properties of molten salts, including systems such as LiCl-KCl and NaCl-UCl33. DFT calculations will be used to generate data for training machine-learning interatomic potentials, which can significantly accelerate MD simulations while maintaining high accuracy. Using these computational tools, the student will investigate key thermophysical properties of molten salts, such as density, heat capacity, and thermal conductivity. This work will contribute to a better understanding of materials relevant to advanced energy applications. The student will also have the rare opportunity to use one of the world’s fastest supercomputers for scientific research and to collaborate with experimental counterparts to compare and validate simulation results. Education and Experience Requirements The entirety of the appointment must be conducted within the United States. Applicants must be: o Currently enrolled in undergraduate or graduate studies at an accredited institution. o Graduated from an accredited institution within the past 3 months; or o Actively enrolled in a graduate program at an accredited institution. Must be 18 years or older at the time the appointment begins. Must possess a cumulative GPA of 3.0 on a 4.0 scale. If accepting an offer, candidates may be required to complete pre-employment drug testing based on appointment length. All students remain subject to applicable drug testing policies. Must complete a satisfactory background check.
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Job Type
Full-time
Career Level
Intern
Education Level
No Education Listed