On the weight dynamics of recurrent learning. - Ulf D. Schiller; Jochen J. Steil (ESANN, 2003)

Analyzing the weight dynamics of recurrent learning algorithms. - Ulf D. Schiller; Jochen J. Steil (Neurocomputing, 2005)

Progress in the understanding of the fluctuating lattice Boltzmann equation. - Burkhard Dünweg; Ulf D. Schiller; Anthony J. C. Ladd (Comput. Phys. Commun., 2009)

A unified operator splitting approach for multi-scale fluid-particle coupling in the lattice Boltzmann method. - Ulf D. Schiller (Comput. Phys. Commun., 2014)

Software development practices in academia: a case study comparison. - Derek Groen; Xiaohu Guo; James A. Grogan; Ulf D. Schiller; James M. Osborne (CoRR, 2015)

An automated multiscale ensemble simulation approach for vascular blood flow. - Mohamed A. Itani; Ulf D. Schiller; Sebastian Schmieschek; James Hetherington; Miguel O. Bernabeu; Hoskote Chandrashekar; Fergus Robertson; Peter V. Coveney; Derek Groen (J. Comput. Sci., 2015)

LB3D: A parallel implementation of the Lattice-Boltzmann method for simulation of interacting amphiphilic fluids. - Sebastian Schmieschek; Lev Shamardin; Stefan Frijters; Timm Krüger; Ulf D. Schiller; Jens Harting; Peter V. Coveney (Comput. Phys. Commun., 2017)

GPU Acceleration of the HemeLB Code for Lattice Boltzmann Simulations in Sparse Complex Geometries. - Benjamin T. Shealy; Mehrdad Yousefi; Ashwin Trikuta Srinath; Melissa C. Smith; Ulf D. Schiller (IEEE Access, 2021)

Application-oriented Analysis of Material Interface Reconstruction Algorithms in Time-varying Bijel Simulations. - Xueyi Bao; Nikhil Karthikeyan; Ulf D. Schiller; Federico Iuricich (EuroVis (Short Papers), 2022)

Implementation of a ternary lattice Boltzmann model in LAMMPS. - Gokul Raman Arumugam Kumar; James P. Andrews; Ulf D. Schiller (Comput. Phys. Commun., 2024)

Structural Response of Bijels Stabilized by Ellipsoidal Magnetic Particles. - Nikhil Karthikeyan; Ulf D. Schiller (ICCS (Workshops 3), 2025)