Advances in modeling and simulation of vacuum electronic devices. - Thomas M. Antonsen Jr.; Alfred A. Mondelli; Baruch Levush; John P. Verboncoeur; Charles K. (Ned) Birdsall (Proc. IEEE, 1999)

QUICKPIC: A highly efficient particle-in-cell code for modeling wakefield acceleration in plasmas. - Chengkun Huang; Viktor K. Decyk; Chuang Ren; M. Zhou; Wei Lu 029; Warren B. Mori; James H. Cooley; Thomas M. Antonsen Jr.; Thomas C. Katsouleas (J. Comput. Phys., 2006)

Spatially embedded growing small-world networks. - Ari Zitin; Alex Gorowora; Shane Squires; Mark Herrera; Thomas M. Antonsen Jr.; Michelle Girvan; Edward Ott (CoRR, 2013)

An improved iteration loop for the three dimensional quasi-static particle-in-cell algorithm: QuickPIC. - Weiming An; Viktor K. Decyk; Warren B. Mori; Thomas M. Antonsen Jr. (J. Comput. Phys., 2013)

The Impact of Imperfect Information on Network Attack. - Andrew Melchionna; Jesus Caloca; Shane Squires; Thomas M. Antonsen Jr.; Edward Ott; Michelle Girvan (CoRR, 2014)

Parallel Machine Learning for Forecasting the Dynamics of Complex Networks. - Keshav Srinivasan; Nolan Coble; Joy Hamlin; Thomas M. Antonsen Jr.; Edward Ott; Michelle Girvan (CoRR, 2021)

Evolving Deformable Mirror Control to Generate Partially Coherent Light Fields. - Daniel Younis; Thomas M. Antonsen Jr.; Luke A. Johnson; Eric O. Scott; Dmitri Kaganovich; Bahman Hafizi (GECCO Companion, 2023)

Hybridizing Traditional and Next-Generation Reservoir Computing to Accurately and Efficiently Forecast Dynamical Systems. - Ravi Chepuri; Dael Amzalag; Thomas M. Antonsen Jr.; Michelle Girvan (CoRR, 2024)

Stabilizing machine learning prediction of dynamics: Novel noise-inspired regularization tested with reservoir computing. - Alexander Wikner; Joseph Harvey; Michelle Girvan; Brian R. Hunt; Andrew Pomerance; Thomas M. Antonsen Jr.; Edward Ott (Neural Networks, 2024)