2 multiscale-postdoctoral PhD positions at NIST

Scientific machine learning methods for trustable accelerated materials characterization and design

NIST | Gaithersburg, Maryland | United States | about 10 hours ago

approaches of interest include machine learning force fields and probabilistic multiscale/multiphysics surrogate modeling. Preferred areas of application include structure and microstructure of

Atomistic Modeling of Phonons in Nanodiamonds and other Nanomaterials

NIST | Boulder, Colorado | United States | about 10 hours ago

.), Elsevier, Amsterdam, 2023, p. 89-124. 2. V. K. Tewary and E.. J. Garboczi, "Lattice Green’s Function for Multiscale Modeling of  Strain Field Due to a Vacancy or Other Point Defects in Graphene; " Materials