Scalable machine learning approach to light induced order disorder phase transitions with ab initio accuracy
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While machine learning excels in simulating material thermal properties, its application to order-disorder non-thermal phase transitions induced by visible light has been limited by challenges in accurately describing potential energy surfaces, forces, and vib... ...
