In the lab, perovskite solar cells show high efficiency in converting solar energy into electricity. In combination with silicon solar cells, they could play a role in the next generation of photovoltaic systems. Now researchers at KIT have demonstrated that machine learning is a crucial tool for improving the data analysis required needed for commercial fabrication of perovskite solar cells. They present their results in Energy and Environmental Science. DOI: 10.1039/D4EE03445G 

Researchers from Peking University, Southern University of Science and Technology, and the University of Science and Technology of China have developed a groundbreaking method for generating multiphoton entanglement using a single-gradient metasurface. This approach simplifies the process by allowing several single photons to interfere with one another in a quantum manner on the metasurface, resulting in entangled photons. The technique enables the creation of various entangled states and the fusion of multiple entangled photon pairs into larger groups. This advancement holds significant potential for compact quantum devices and future quantum computing and communication applications. The findings are published in Advanced Photonics Nexus.

Nature Ecology & Evolution has published the meta-analysis conducted by a UPV/EHU researcher together with several members of BC3. This analysis produced a more realistic picture than previous work on this subject: the impact of the reduction in pollinator diversity rather than the impact of the total disappearance of pollinators was analysed.