A deep learning model trained on a physics-inspired surrogate equation representing plasma etching, a core process in semiconductor manufacturing. This demo shows how machine learning can support precise rate prediction and ultimately enable smarter process control on advanced equipment.
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A neural network model trained on the classic Continuous Stirred Tank Reactor (CSTR) system. This demonstration shows how even a well-understood process can benefit from data-driven simulation and rapid what-if analysis.