首页|Researchers from Beijing Normal University Describe Findings in Machine Learning (Significant Impact of Defect Fluctuation On Charge Dynamics In Cspbi3: a Study Combining Machine Learning With Quantum Dynamics)
Researchers from Beijing Normal University Describe Findings in Machine Learning (Significant Impact of Defect Fluctuation On Charge Dynamics In Cspbi3: a Study Combining Machine Learning With Quantum Dynamics)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Current study results on Machine Learning have be en published. According to news reporting outof Beijing, People’s Republic of C hina, by NewsRx editors, research stated, “In this study, we developeda machine -learned force field for CsPbI3 using a neural network potential, enabling molec ular dynamicssimulations (MD) with ab initio accuracy over nanoseconds. This ap proach, combined with ab initio MDand nonadiabatic MD, was used to study the ch arge trapping and recombination dynamics in both pristineand defective CsPbI3.”
BeijingPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesHalogensIodineMachine LearningPhysicsQuantum DynamicsQuantum PhysicsBeijing Normal University
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