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Controlling colloidal crystals via morphing energy landscapes and reinforcement learning

Jianli Zhang, Junyan Yang, Yuanxing Zhang, Michael A. Bevan

2020Science Advances47 citationsDOIOpen Access PDF

Abstract

Further scalability is possible by controlling parallel local energy landscapes (e.g., periodic landscapes) to generate large-scale global defect-free hierarchical structures.

Topics & Concepts

MorphingReinforcement learningComputer scienceReinforcementEnergy (signal processing)Environmental scienceHuman–computer interactionMaterials scienceArtificial intelligencePhysicsComposite materialQuantum mechanicsMicrofluidic and Bio-sensing TechnologiesMicro and Nano RoboticsNeural dynamics and brain function
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