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Machine-learning guided fast optimization of materials synthesis with high quality
A fast-convergence machine learning approach for materials synthesis optimization, with minimal training data Background: Materials synthesis is a complicated and lengthy process requiring a high degree of precision. At the same time, there is a constant need to develop new materials, adapt existing ones, and improve the quality of materials synthesis....
Published: 7/11/2025   |   Inventor(s): Swastik Kar, Xiaoning Jin, Guoyan Li, Yujia Wang
Keywords(s): 2D materials, Artificial intelligence, Experimental Design, Optimization
Category(s): Technology Classifications > 3. Computer Science > AI, Technology Classifications > 2. Physical Science > Manufacturing