Machine Learning in Heterogeneous Porous Materials. - Marta D'Elia; Hang Deng; Cedric G. Fraces; Krishna C. Garikipati; Lori Graham-Brady; Amanda A. Howard; George Em Karniadakis; Vahid Keshavarzzadeh; Robert M. Kirby; J. Nathan Kutz; Chunhui Li; Xing Liu; et al. (CoRR, 2022)

Determining parameters in generalized thermomechanics for metamaterials by means of asymptotic homogenization. - Bozo Vazic; Bilen Emek Abali; Pania Newell (CoRR, 2022)

Investigation of fracture in porous materials: a phase-field fracture study informed by ReaxFF. - Bang He; Truong Vo; Pania Newell (Eng. Comput., 2022)

Mechanical analysis of heterogeneous materials with higher-order parameters. - Bozo Vazic; Bilen Emek Abali; Hua Yang; Pania Newell (Eng. Comput., 2022)

Enhancing Scientific Research with FAIR Digital Objects in the National Science Data Fabric. - Michela Taufer; Heberth F. Martinez; Jakob Lüttgau; Lauren Whitnah; Giorgio Scorzelli; Pania Newell; Aashish Panta; Peer-Timo Bremer; Douglas Fils; Christine R. Kirkpatrick; Valerio Pascucci (Comput. Sci. Eng., 2023)

Orchestration of materials science workflows for heterogeneous resources at large scale. - Naweiluo Zhou; Giorgio Scorzelli; Jakob Lüttgau; Rahul R. Kancharla; Joshua J. Kane; Robert Wheeler; Brendan P. Croom; Pania Newell; Valerio Pascucci; Michela Taufer (Int. J. High Perform. Comput. Appl., 2023)

Interpreting and generalizing deep learning in physics-based problems with functional linear models. - Amirhossein Arzani; Lingxiao Yuan; Pania Newell; Bei Wang 001 (Eng. Comput., 2025)