Higher-order adaptive finite-element methods for orbital-free density functional theory. - Phani Motamarri; Mrinal Iyer; Jaroslaw Knap; Vikram Gavini (J. Comput. Phys., 2012)

Higher-order adaptive finite-element methods for Kohn-Sham density functional theory. - Phani Motamarri; Michael R. Nowak; Kenneth W. Leiter; Jaroslaw Knap; Vikram Gavini (J. Comput. Phys., 2013)

An algorithm for massively parallel dislocation dynamics simulations of small scale plasticity. - Kenneth W. Leiter; Joshua C. Crone; Jaroslaw Knap (J. Comput. Sci., 2013)

Atom-partitioned multipole expansions for electrostatic potential boundary conditions. - M. Lee; Kenneth W. Leiter; C. Eisner; Jaroslaw Knap (J. Comput. Phys., 2017)

Accelerated scale-bridging through adaptive surrogate model evaluation. - Kenneth W. Leiter; Brian C. Barnes; Richard Becker; Jaroslaw Knap (J. Comput. Sci., 2018)

Accelerated scale bridging with sparsely approximated Gaussian learning. - Ting Wang; Kenneth W. Leiter; Petr Plechác; Jaroslaw Knap (J. Comput. Phys., 2020)

Stochastic gradient descent for semilinear elliptic equations with uncertainties. - Ting Wang; Jaroslaw Knap (J. Comput. Phys., 2021)

Stochastic Deep-Ritz for Parametric Uncertainty Quantification. - Ting Wang; Jaroslaw Knap (CoRR, 2022)

Generative diffusion learning for parametric partial differential equations. - Ting Wang; Petr Plechác; Jaroslaw Knap (CoRR, 2023)

Temporal scale-bridging of chemistry in a multiscale model: Application to reactivity of an energetic material. - Kenneth W. Leiter; James P. Larentzos; Brian C. Barnes; John K. Brennan; Richard Becker; Jaroslaw Knap (J. Comput. Phys., 2023)

A surrogate model for studying random field energy release rates in 2D brittle fractures. - Luis Blanco-Cocom; Marcos A. Capistran; Jaroslaw Knap; J. Andrés Christen (J. Comput. Sci., 2025)

Low-Dimensional surrogate modeling using diffusion maps with applications to chemical kinetics. - Kevin A. Logrande; Kaushik Dayal; Kenneth W. Leiter; Joshua C. Crone; Ting Wang; Jaroslaw Knap (J. Comput. Sci., 2025)

Deep Ritz method with Fourier feature mapping: A deep learning approach for solving variational models of microstructure. - Ensela Mema; Ting Wang; Jaroslaw Knap (J. Comput. Sci., 2025)