Machine-learning-based dynamic-importance sampling for adaptive multiscale simulations
Harsh Bhatia, Timothy S. Carpenter, Helgi I. Ingólfsson, Gautham Dharuman, Piyush Karande, Shusen Liu, Tomas Oppelstrup, Chris Neale, Felice C. Lightstone, Brian Van Essen, James N. Glosli, Peer‐Timo Bremer
Topics & Concepts
Computer scienceMicroscale chemistryScalabilityContext (archaeology)MacroAdaptive samplingMultiscale modelingBridge (graph theory)Sampling (signal processing)Scale (ratio)SupercomputerComputational scienceArtificial intelligenceMachine learningDistributed computingParallel computingMonte Carlo methodProgramming languageFilter (signal processing)PhysicsComputer visionBiologyStatisticsMathematics educationChemistryPaleontologyMathematicsInternal medicineQuantum mechanicsMedicineDatabaseComputational chemistryProtein Structure and DynamicsTheoretical and Computational PhysicsAdvanced Mathematical Modeling in Engineering