Paul Sinz

Postdoctoral Research Associate, Department of Computational Mathematics, Science and Engineering (CMSE);
College of Natural Science and College of Engineering

Room 2506, Engineering Building
  428 South Shaw Lane


Research Interests:

  • Multiscale Methods

  • Mathematical Materials Science

  • Numerical Solutions to Partial Differential Equations

  • Generalized Finite Element Methods (GFEM)

  • Machine Learning

  • Applications: Elasticity in Composites, Computational Quantum Chemistry


Current Projects:

  • Wavelet scattering networks applied to atomic systems (machine learning)

  • Multiscale spectral generalized finite element method for extraction of stress and strain fields in composite materials