Prasanna Balaprakash, Computer Scientist (MCS & LCF, ANL): Scalable Reinforcement-Learning-Based Neural Architecture Search for Scientific and Engineering Applications

Partha Pratim Das, Professor, Department of Computer Science & Engineering, Indian Institute of Technology Kharagpu: SmartKT: A Search Framework to assist Program Comprehension using Smart Knowledge Transfer

Charlie Vanaret, Researcher, Fraunhofer ITWM: Solving distillation column equilibrium using interval methods

Jake Roth, Predoctoral Appointee, MCS/ANL: Cascading failures and energy landscapes for power systems

Ann Almgren, Group Lead, Center for Computational Sciences and Engineering, LBNL: AMR for Multiphysics Applications

Boyana Norris, Associate Professor, Department of Computer and Information Science, University of Oregon: Understanding and Improving the Performance of Scientific Software and its Humans

Johann Rudi, Wilkinson Fellow, MCS/ANL: An Optimization-Based Perturbed Newton Method for Viscoplastic Fluids with von Mises Yielding

Brian Dandurand, Postdoctoral Appointee, MCS/ANL: Quadratic scalarization for decomposed multiobjective optimization

Saurabh Chawdhary, Postdoctoral Appointee, MCS/ANL: Adaptive Mesh Refinement for incompressible CFD simulations

has seen a long period of expansion and popularity in the era of high-performance computing. This prompted some scientists to state that ""turbulence is a solved problem""