Multi-scale physics-informed machine learning using the Buckingham Pi theorem
Michael W. Oppenheimer, David Doman, Justin D. Merrick
Topics & Concepts
Artificial neural networkDimensionless quantityComputer scienceSimilitudeProcess (computing)Variable (mathematics)Set (abstract data type)VariablesFunction (biology)Physical systemScale (ratio)Artificial intelligenceMathematicsMachine learningMathematical analysisPhysicsProgramming languageMechanicsBiologyOperating systemEvolutionary biologyQuantum mechanicsModel Reduction and Neural NetworksNanopore and Nanochannel Transport StudiesNeural Networks and Applications