
Machine Learning Deciphers Quantum Atomic Vibrations in Materials
Caltech scientists have developed an AI-based method that significantly accelerates calculations of quantum interactions among atomic vibrations (phonons) in materials, enabling 1,000 to 10,000 times faster analysis while maintaining accuracy, which could revolutionize the understanding of material properties and high-throughput screening.













