AI Combined with Physics Knowledge Accelerates New Materials Development
Key point
An AI model trained on physics knowledge resolves the simulation bottleneck that occurs when designing new materials.
Details
The process of designing new materials that control light is extremely slow using the conventional trial-and-error approach. Each candidate structure must be tested through computer simulation, creating a bottleneck where generating just one data point takes 10 minutes to 1 hour.
To solve this problem, an intelligent machine learning model trained on physical principles has been introduced. The key is that, beyond simply learning from data, the model learns faster by understanding the laws of physics, dramatically increasing the speed of technology development.
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