Optimizing Topology and Gradient Orthotropic Material Properties Under Multiple Loads. - Anthony Garland; Georges M. Fadel (J. Comput. Inf. Sci. Eng., 2019)

Feature anomaly detection system (FADS) for intelligent manufacturing. - Anthony Garland; Kevin Potter; Matthew Smith (CoRR, 2022)

VpROM: A novel Variational AutoEncoder-boosted Reduced Order Model for the treatment of parametric dependencies in nonlinear systems. - Thomas Simpson; Konstantinos Vlachas; Anthony Garland; Nikolaos Dervilis; Eleni N. Chatzi (CoRR, 2023)

Deep reinforcement learning for the rapid on-demand design of mechanical metamaterials with targeted nonlinear deformation responses. - Nathan K. Brown; Anthony Garland; Georges M. Fadel; Gang Li (Eng. Appl. Artif. Intell., 2023)

ThermoPore: Predicting Part Porosity Based on Thermal Images Using Deep Learning. - Peter Myung-Won Pak; Francis Ogoke; Andrew Polonsky; Anthony Garland; Dan S. Bolintineanu; Dan R. Moser; Michael J. Heiden; Amir Barati Farimani (CoRR, 2024)

A Reduced Order Model conditioned on monitoring features for estimation and uncertainty quantification in engineered systems. - Konstantinos Vlachas; Thomas Simpson; Anthony Garland; D. Dane Quinn; Charbel Farhat; Eleni N. Chatzi (CoRR, 2024)

Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring. - Francis Ogoke; Sumesh Kalambettu Suresh; Jesse Adamczyk; Dan S. Bolintineanu; Anthony Garland; Michael J. Heiden; Amir Barati Farimani (CoRR, 2024)

Unsupervised Multimodal Fusion of In-process Sensor Data for Advanced Manufacturing Process Monitoring. - Matthew McKinney; Anthony Garland; Dale Cillessen; Jesse Adamczyk; Dan S. Bolintineanu; Michael J. Heiden; Elliott Fowler; Brad L. Boyce (CoRR, 2024)