Physics-Informed Neural Network Super Resolution for Advection-Diffusion Models. - Chulin Wang; Eloisa Bentivegna; Wang Zhou; Levente J. Klein; Bruce Elmegreen (CoRR, 2020)

Next-generation geospatial-temporal information technologies for disaster management. - Conrad M. Albrecht; Bruce Elmegreen; Oki Gunawan; Hendrik F. Hamann; Levente J. Klein; Siyuan Lu 003; F. Mariano; Carlo Siebenschuh; Johannes Schmude (IBM J. Res. Dev., 2020)

S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process. - Chulin Wang; Kyongmin Yeo; Xiao Jin; Andrés Codas; Levente J. Klein; Bruce Elmegreen (CoRR, 2021)

Machine Guided Discovery of Novel Carbon Capture Solvents. - James L. McDonagh; Benjamin H. Wunsch; Stamatia Zavitsanou; Alexander Harrison; Bruce Elmegreen; Stacey Gifford; Theodore van Kessel; Flaviu S. Cipcigan (CoRR, 2023)

A 3D super-resolution of wind fields via physics-informed pixel-wise self-attention generative adversarial network. - Takuya Kurihana; Kyongmin Yeo; Daniela Szwarcman; Bruce Elmegreen; S. Karthik Mukkavilli; Johannes Schmude; Levente J. Klein (CoRR, 2023)

Quantum-centric supercomputing for materials science: A perspective on challenges and future directions. - Yuri Alexeev; Maximilian Amsler; Marco Antonio Barroca; Sanzio Bassini; Torey Battelle; Daan Camps; David Casanova; Young Jay Choi; Frederic T. Chong; Charles Chung; Christopher Codella; Antonio D. Córcoles; et al. (Future Gener. Comput. Syst., 2024)