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 

A new study in Engineering explores the future of AI after large language models (LLMs). LLMs have their limits, so researchers are looking at knowledge empowerment, model collaboration, and model co-evolution. This article will explain these directions and their potential impacts, as well as future research trends in the AI field.

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.

When they weave their webs, spiders pull their silk threads. New simulations show stretching during spinning causes the protein chains within the fibers to align and the number of hydrogen bonds between those chains to increase. Both factors increase the silk fibers’ overall strength and toughness. Insights could be applied to designing stronger, tougher synthetic materials.

A new study in Engineering has developed an acoustofluidics-based method for intracellular nanoparticle delivery. This approach overcomes limitations of traditional methods, efficiently transports various nanomaterials into different cells, and offers potential benefits for therapeutic and biophysical research.

The University of Texas at Arlington hosted 530 of the brightest minds from North Texas’ middle and high schools last month for the 74th Fort Worth Regional Science and Engineering Fair. The fair attracted more students than ever, with the number of participants increasing by more than 25% over 2024. Engineering remains a high-demand field, especially in Texas, where the economy and the population continue to grow.