Chemical Space-Property Predictor Model of Perovskite Materials by High-Throughput Synthesis and Artificial Neural Networks

Chemical Space-Property Predictor Model of Perovskite Materials by High-Throughput Synthesis and Artificial Neural Networks

Academic Background Perovskite materials have attracted extensive attention due to their wide applications in solar cells and other electronic devices. Their optical properties (such as bandgap and lattice vibrations) can be flexibly modulated by tuning the chemical composition. Although the prediction of optical properties from perovskite structur...

Flexible, Visual, and Multifunctional Humidity-Strain Sensors Based on Ultra-Stable Perovskite Luminescent Filaments

Academic Background With the rapid development of the Internet of Things and wearable electronics, the demand for smart sensors in fields such as physiological monitoring, smart clothing, and human-computer interaction has been increasing. In particular, flexible multifunctional sensors have attracted significant attention due to their potential ap...