An Asymptotic Analysis for a Model of Chemical Vapor Deposition on a Microstructured Surface. - Christian A. Ringhofer; Matthias K. Gobbert (SIAM J. Appl. Math., 1998)

The Combination of Equipment Scale and Feature Scale Models for Chemical Vapor Deposition Via a Homogenization Technique. - Matthias K. Gobbert; Timothy S. Cale; Christian A. Ringhofer (VLSI Design, 1998)

A Discontinuous Finite Element Method for Solving a Multiwell Problem. - Matthias K. Gobbert; Andreas Prohl (SIAM J. Numer. Anal., 1999)

Parallel Numerical Solution of the Boltzmann Equation for Atomic Layer Deposition (Research Note). - Samuel G. Webster; Matthias K. Gobbert; Jean-François Remacle; Timothy S. Cale (Euro-Par, 2002)

Coarse-Grained Parallel Matrix-Free Solution of a Three-Dimensional Elliptic Prototype Problem. - Kevin P. Allen; Matthias K. Gobbert (ICCSA (2), 2003)

A Homogenization Technique for the Boltzmann Equation for Low Pressure Chemical Vapor Deposition. - Christian A. Ringhofer; Matthias K. Gobbert (SIAM J. Appl. Math., 2003)

Cluster Computing for Transient Simulations of the Linear Boltzmann Equation on Irregular Three-Dimensional Domains. - Matthias K. Gobbert; Mark L. Breitenbach; Timothy S. Cale (International Conference on Computational Science (3), 2005)

Configuration and performance of a Beowulf cluster for large-scale scientific simulations. - Matthias K. Gobbert (Comput. Sci. Eng., 2005)

A kinetic transport and reaction model and simulator for rarefied gas flow in the transition regime. - Matthias K. Gobbert; Timothy S. Cale (J. Comput. Phys., 2006)

A Galerkin Method for the Simulation of the Transient 2-D/2-D and 3-D/3-D Linear Boltzmann Equation. - Matthias K. Gobbert; Samuel G. Webster; Timothy S. Cale (J. Sci. Comput., 2007)

Preparing Graduate Students for Interdisciplinary Careers. - Matthias K. Gobbert; Nagaraj K. Neerchal (Comput. Sci. Eng., 2008)

Long-Time Simulations on High Resolution Meshes to Model Calcium Waves in a Heart Cell. - Matthias K. Gobbert (SIAM J. Sci. Comput., 2008)

The optimal relaxation parameter for the SOR method applied to the Poisson equation in any space dimensions. - Shiming Yang; Matthias K. Gobbert (Appl. Math. Lett., 2009)

Finite element approximation for time-dependent diffusion with measure-valued source. - Thomas I. Seidman; Matthias K. Gobbert; David W. Trott; Martin Kruzík (Numerische Mathematik, 2012)

Long-time simulation of calcium induced calcium release in a heart cell using the finite element method on a hybrid CPU/GPU node. - Xuan Huang 001; Matthias K. Gobbert (SpringSim (HPS), 2015)

Throughput studies on an InfiniBand interconnect via all-to-all communications. - Nil Mistry; Jordan Ramsey; Benjamin Wiley; Jackie Yanchuck; Xuan Huang 001; Matthias K. Gobbert (SpringSim (HPS), 2015)

Calcium induced calcium release with stochastic uniform flux density in a heart cell. - Matthew W. Brewster; Jonathan S. Graf; Xuan Huang 001; Zana Coulibaly; Matthias K. Gobbert; Bradford E. Peercy (SummerSim, 2015)

Insight into spontaneous recurrent calcium waves in a 3-D cardiac cell based on analysis of a 1-D deterministic model. - Zana Coulibaly; Matthias K. Gobbert; Bradford E. Peercy (Int. J. Comput. Math., 2015)

Benchmarking Parallel K-Means Cloud Type Clustering from Satellite Data. - Carlos Barajas; Pei Guo; Lipi Mukherjee; Susan Hoban; Jianwu Wang 001; Daeho Jin; Aryya Gangopadhyay; Matthias K. Gobbert (Bench, 2018)

Hybrid MPI+OpenMP parallelization of image reconstruction in proton beam therapy on multi-core and many-core processors. - James Della-Giustina; Carlos Barajas; Matthias K. Gobbert; Dennis S. Mackin; Jerimy Polf (SpringSim (HPC), 2018)

Long-time simulations with complex code using multiple nodes of Intel Xeon Phi Knights Landing. - Jonathan S. Graf; Matthias K. Gobbert; Samuel Khuvis (J. Comput. Appl. Math., 2018)

Performance Benchmarking of Data Augmentation and Deep Learning for Tornado Prediction. - Carlos A. Barajas; Matthias K. Gobbert; Jianwu Wang 001 (IEEE BigData, 2019)

A dynamically load-balanced parallel p-adaptive implicit high-order flux reconstruction method for under-resolved turbulence simulation. - Lai Wang; Matthias K. Gobbert; Meilin Yu (J. Comput. Phys., 2020)

Promising Hyperparameter Configurations for Deep Fully Connected Neural Networks to Improve Image Reconstruction in Proton Radiotherapy. - Sokhna A. York; Alina M. Ali; David C. Lashbrooke; Rodrigo Yepez-Lopez; Carlos A. Barajas; Matthias K. Gobbert; Jerimy C. Polf (IEEE BigData, 2021)

Classification of Compton Camera Based Prompt Gamma Imaging for Proton Radiotherapy by Random Forests. - Carlos A. Barajas; Gerson C. Kroiz; Matthias K. Gobbert; Jerimy C. Polf (CSCI, 2021)

Performance Benchmarking of Parallel Hyperparameter Tuning for Deep Learning Based Tornado Predictions. - Jonathan N. Basalyga; Carlos A. Barajas; Matthias K. Gobbert; Jianwu Wang 001 (Big Data Res., 2021)

Multi-Layer Recurrent Neural Networks for the Classification of Compton Camera Based Imaging Data for Proton Beam Cancer Treatment. - Joseph Clark; Anaise Gaillard; Justin Koe; Nithya Navarathna; Daniel J. Kelly; Matthias K. Gobbert; Carlos A. Barajas; Jerimy C. Polf (BDCAT, 2022)

Accelerating Real-Time Imaging for Radiotherapy: Leveraging Multi-GPU Training with PyTorch. - Ruth Obe; Brandt Kaufmann; Kaelen Baird; Sam Kadel; Yasmin Soltani; Mostafa Cham; Matthias K. Gobbert; Carlos A. Barajas; Zhuoran Jiang; Vijay R. Sharma; Lei Ren; Stephen W. Peterson; et al. (ICMLA, 2023)

Improving Gamma Imaging in Proton Therapy by Sanitizing Compton Camera Simulated Patient Data using Neural Networks through the BRIDE Pipeline. - Michael O. Chen; Julian Hodge; Peter L. Jin; Ella Protz; Elizabeth Wong; Ruth Obe; Ehsan Shakeri; Mostafa Cham; Matthias K. Gobbert; Carlos A. Barajas; Vijay R. Sharma; Sina Mossahebi; et al. (IEEE Big Data, 2024)