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Random butterfly matrices and growth factors John Peca-Medlin, Department of Mathematics, University of Arizona

Multi-class classification deep learning model using TensorFlow Alexa Aucoin, Program in Applied Mathematics Liyun Zeng, Program in Statistics and Data Science, University of Arizona and

Emergence of Vascular Networks Pedro Aceves-Sánchez, Department of Mathematics, University of California, Los Angeles

Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence Michael Woodward, Program in Applied Mathematics, University of Arizona

RONS: Reduced-order nonlinear solutions for PDEs with conserved quantities Mohammad Farazmand, Department of Mathematics, North Carolina State University

Scaling down the laws of thermodynamics Christopher Jarzynski, Department of Chemistry and Biochemistry, University of Maryland, College Park

Los Alamos National Laboratory Jeffrey Hyman and Angel Garcia

Energy Landscapes, Metastability, and Transition Paths Katie Newall, Center for Interdisciplinary Applied Mathematics, University North Carolina, Chapel Hill

Old and new bounds on solutions of the Helmholtz equation proved by integrating by parts Euan Spence, Department of Mathematical Sciences, University of Bath, United Kingdom