首页|Studies from University of Bayreuth Yield New Information about Machine Learning (Adapting Explainable Machine Learning To Study Mechanical Properties of 2d Hyb rid Halide Perovskites)
Studies from University of Bayreuth Yield New Information about Machine Learning (Adapting Explainable Machine Learning To Study Mechanical Properties of 2d Hyb rid Halide Perovskites)
扫码查看
点击上方二维码区域,可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting originating in Bayreuth, Ge rmany, by NewsRx journalists, research stated, “2D hybrid organic and inorganic perovskites (HOIPs) are used as capping layers on top of 3D perovskites to enhan ce their stability while maintaining the desired power conversion efficiency (PC E). Therefore, the 2D HOIP needs to withstand mechanical stresses and deformatio ns, making the stiffness an important observable.”
BayreuthGermanyEuropeCyborgsEmer ging TechnologiesMachine LearningUniversity of Bayreuth