Data&Code for Resolving the Complexity of Microstructure Evolution Using Spiking Neural Networks
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Microstructure evolution is ubiquitous in nature and important in engineering, often understood through a field-based description.In this work, we decipher its intricate spatiotemporal complexity using spiking neural networks (SNNs) by harnessing their event-driven nature.
创建时间：
2025-01-23
