Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions - Concepedia

Concepedia

Publication | Open Access

Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

DOI Full Paper Access

108

Citations

32

References

2019

Year

Gregory H. Teichert, Anirudh Raju Natarajan, Anton Van der Ven, Krishna Garikipati

Computer Methods in Applied Mechanics and Engineering

EngineeringMachine LearningPhysicsPhysic Aware Machine LearningApplied PhysicsFree Energy FunctionsMaterials PhysicsDeep LearningPhysics-informed Machine LearningNeural Scaling Law

References

	Year	Citations

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