Convergence of the Forward Euler Method for Nonconvex Differential Inclusions. - Mattias Sandberg (SIAM J. Numer. Anal., 2008)

An adaptive mass algorithm for Car-Parrinello and Ehrenfest ab initio molecular dynamics. - Ashraful Kadir; Mattias Sandberg; Anders Szepessy (CoRR, 2014)

An Error Estimate for Symplectic Euler Approximation of Optimal Control Problems. - Jesper Karlsson; Stig Larsson 001; Mattias Sandberg; Anders Szepessy; Raúl Tempone (SIAM J. Sci. Comput., 2015)

Computable Error Estimates for Finite Element Approximations of Elliptic Partial Differential Equations with Rough Stochastic Data. - Eric Joseph Hall; Håkon Hoel; Mattias Sandberg; Anders Szepessy; Raúl Tempone (SIAM J. Sci. Comput., 2016)

Adaptive random Fourier features with Metropolis sampling. - Aku Kammonen; Jonas Kiessling; Petr Plechác; Mattias Sandberg; Anders Szepessy (CoRR, 2020)

Smaller generalization error derived for deep compared to shallow residual neural networks. - Aku Kammonen; Jonas Kiessling; Petr Plechác; Mattias Sandberg; Anders Szepessy; Raúl Tempone (CoRR, 2020)

Canonical mean-field molecular dynamics derived from quantum mechanics. - Xin Huang; Petr Plechác; Mattias Sandberg; Anders Szepessy (CoRR, 2021)

A locally corrected multiblob method with hydrodynamically matched grids for the Stokes mobility problem. - Anna Broms; Mattias Sandberg; Anna-Karin Tornberg (J. Comput. Phys., 2023)

Convergence rates for random feature neural network approximation in molecular dynamics. - Xin Huang; Petr Plechác; Mattias Sandberg; Anders Szepessy (CoRR, 2024)

Path integral molecular dynamics approximations of quantum canonical observables. - Xin Huang; Petr Plechác; Mattias Sandberg; Anders Szepessy (J. Comput. Phys., 2025)