Litcius/Paper detail

Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations

Enrico Schiassi, Roberto Furfaro, Carl Leake, Mario De Florio, Hunter Johnston, Daniele Mortari

2021Neurocomputing194 citationsDOI

Topics & Concepts

Curse of dimensionalityArtificial neural networkPartial differential equationOrdinary differential equationExtreme learning machineOdeComputer scienceNonlinear systemApplied mathematicsFunction (biology)Function approximationMathematical optimizationAlgorithmMathematicsDifferential equationArtificial intelligenceMathematical analysisPhysicsQuantum mechanicsEvolutionary biologyBiologyModel Reduction and Neural NetworksAdvancements in Semiconductor Devices and Circuit DesignThermal properties of materials
Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations | Litcius