A review of predictive nonlinear theories for multiscale modeling of heterogeneous materials. - Karel Matous; Marc G. D. Geers; Varvara G. Kouznetsova; Andrew Gillman (J. Comput. Phys., 2017)

Origami-Inspired Frequency Selective Surface with Fixed Frequency Response under Folding. - Deanna Sessions; Alexander Cook; Kazuko Fuchi; Andrew Gillman; Gregory H. Huff; Philip R. Buskohl (Sensors, 2019)

The Ensemble Kalman Filter as a tool for estimating temperatures in the powder bed fusion process. - Nathaniel Wood; Edwin Schwalbach; Andrew Gillman; David J. Hoelzle (ACC, 2021)

Towards Data and Model Interoperability for Industrial Extended Reality in Manufacturing. - William Z. Bernstein; Andrew Bowman; Ryan Durscher; Andrew Gillman; Sean Donegan (J. Comput. Inf. Sci. Eng., 2023)

Human Planning of Robot Actions through LLM-guided State Machine Synthesis. - Brennan Swick; Sean Donegan; Andrew Gillman; Michael Groeber (RO-MAN, 2024)

Scalar Field Prediction on Meshes Using Interpolated Multi-Resolution Convolutional Neural Networks. - Kevin Ferguson; Andrew Gillman; James Hardin; Levent Burak Kara (CoRR, 2024)

Topology-Agnostic Graph U-Nets for Scalar Field Prediction on Unstructured Meshes. - Kevin Ferguson; Yu-Hsuan Chen; Yiming Chen; Andrew Gillman; James Hardin; Levent Burak Kara (CoRR, 2024)