FRC: a high-performance concurrent parallel deferred reference counter for C++. - Charles Tripp; David Hyde 001; Benjamin Grossman-Ponemon (ISMM, 2018)

VRGE: An Immersive Visualization Application for the Geosciences. - David A. B. Hyde; Tyler R. Hall; Jef Caers (SciVis, 2018)

Distributing and Load Balancing Sparse Fluid Simulations. - Chinmayee Shah; David Hyde 001; Hang Qu; Philip Alexander Levis (Comput. Graph. Forum, 2018)

A robust volume conserving method for character-water interaction. - Minjae Lee; David Hyde 001; Kevin Li; Ronald Fedkiw (Symposium on Computer Animation, 2019)

Assessing and visualizing uncertainty of 3D geological surfaces using level sets with stochastic motion. - Liang Yang 005; David Hyde 001; Ognjen Grujic; Céline Scheidt; Jef Caers (Comput. Geosci., 2019)

Sharp interface approaches and deep learning techniques for multiphase flows. - Frédéric Gibou; David Hyde 001; Ron Fedkiw (J. Comput. Phys., 2019)

A unified approach to monolithic solid-fluid coupling of sub-grid and more resolved solids. - David A. B. Hyde; Ronald Fedkiw (J. Comput. Phys., 2019)

A Skinned Tetrahedral Mesh for Hair Animation and Hair-Water Interaction. - Minjae Lee; David Hyde 001; Michael Bao; Ronald Fedkiw (IEEE Trans. Vis. Comput. Graph., 2019)

Analyzing Effectiveness of Gang Interventions using Koopman Operator Theory. - Sian Wen; Andy Chen; Tanishq Bhatia; Nicholas Liskij; David Hyde 001; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE BigData, 2020)

Emotion Classification and Textual Clustering Techniques for Gang Intervention Data. - Ruofei Wu; Chenxin Yang; David Hyde 001; Andrea L. Bertozzi; P. Jeffrey Brantingham (IEEE BigData, 2020)

Is Too Much System Caution Counterproductive? Effects of Varying Sensitivity and Automation Levels in Vehicle Collision Avoidance Systems. - Ernestine Fu; Mishel Johns; David A. B. Hyde; Srinath Sibi; Martin Fischer 010; David Sirkin (CHI, 2020)

Assessing the Effects of Failure Alerts on Transitions of Control from Autonomous Driving Systems. - Ernestine Fu; David Hyde 001; Srinath Sibi; Mishel Johns; Martin Fischer 010; David Sirkin (IV, 2020)

A Hybrid Lagrangian/Eulerian Collocated Velocity Advection and Projection Method for Fluid Simulation. - Steven Gagniere; David Hyde 001; Alan Marquez-Razon; Chenfanfu Jiang; Ziheng Ge; Xuchen Han; Qi Guo 006; Joseph Teran (Comput. Graph. Forum, 2020)

A Hybrid Lagrangian/Eulerian Collocated Advection and Projection Method for Fluid Simulation. - Steven W. Gagniere; David A. B. Hyde; Alan Marquez-Razon; Chenfanfu Jiang; Ziheng Ge; Xuchen Han; Qi Guo 006; Joseph Teran (CoRR, 2020)

An implicit updated lagrangian formulation for liquids with large surface energy. - David A. B. Hyde; Steven W. Gagniere; Alan Marquez-Razon; Joseph Teran (ACM Trans. Graph., 2020)

A Momentum-Conserving Implicit Material Point Method for Surface Energies with Spatial Gradients. - Jingyu Chen 002; Victoria Kala; Alan Marquez-Razon; Elias Gueidon; David A. B. Hyde; Joseph Teran (CoRR, 2021)

On obtaining sparse semantic solutions for inverse problems, control, and neural network training. - David A. B. Hyde; Michael Bao; Ronald Fedkiw (J. Comput. Phys., 2021)

A momentum-conserving implicit material point method for surface tension with contact angles and spatial gradients. - Jingyu Chen 002; Victoria Kala; Alan Marquez-Razon; Elias Gueidon; David A. B. Hyde; Joseph Teran (ACM Trans. Graph., 2021)

A Deep Gradient Correction Method for Iteratively Solving Linear Systems. - Ayano Kaneda; Osman Akar; Jingyu Chen 002; Victoria Kala; David Hyde 001; Joseph Teran (CoRR, 2022)

A Deep Conjugate Direction Method for Iteratively Solving Linear Systems. - Ayano Kaneda; Osman Akar; Jingyu Chen 002; Victoria Alicia Trevino Kala; David Hyde 001; Joseph Teran (ICML, 2023)

Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls. - Harsh Vardhan; David Hyde 001; Umesh Timalsina; Péter Völgyesi; Janos Sztipanovits (CoRR, 2023)

CUBAN: Leveraging Semantic Comparables to Predict Financial Metrics Using Textual Descriptions of Companies. - Siwoo Bae; David Hyde 001 (IEEE Big Data, 2024)

Toward Improving Boussinesq Flow Simulations by Learning with Compressible Flow. - Nurshat Mangnike; David Hyde 001 (PASC, 2024)

A Differentiable Material Point Method Framework for Shape Morphing. - Michael Xu; Chang-Yong Song; David I. W. Levin; David Hyde 001 (SCA (Posters), 2024)

Anvil: An integration of artificial intelligence, sampling techniques, and a combined CAD-CFD tool. - Harsh Vardhan; Umesh Timalsina; Michael Sandborn; David Hyde 001; Péter Völgyesi; Janos Sztipanovits (CoRR, 2024)

A Thermomechanical Hybrid Incompressible Material Point Method. - Victoria Kala; Jingyu Chen 002; David Hyde 001; Alexey Stomakhin; Joseph Teran (CoRR, 2024)

Automated Synthesis of Quantum Algorithms via Classical Numerical Techniques. - Yuxin Huang; Benjamin Grossman-Ponemon; David A. B. Hyde (CoRR, 2024)

A Robust Grid-Based Meshing Algorithm for Embedding Self-Intersecting Surfaces. - Steven Gagniere; Yushan Han; Yizhou Chen; David Hyde 001; Alan Marquez-Razon; Joseph Teran; Ronald Fedkiw (Comput. Graph. Forum, 2024)

Building Machine Learning Challenges for Anomaly Detection in Science. - Elizabeth G. Campolongo; Yuan-Tang Chou; Ekaterina Govorkova; Wahid Bhimji; Wei-Lun Chao; Chris Harris; Shih-Chieh Hsu; Hilmar Lapp; Mark S. Neubauer; Josephine M. Namayanja; Aneesh Subramanian; Philip C. Harris; et al. (CoRR, 2025)