Sweat Fingerprint Identification Technology Based on Ion Dynamics: Research on Inkjet-Printed Organic Electrochemical Transistor Arrays Academic Background Sweat, as a non-invasive biomarker, contains rich physiological information that can reflect human health conditions, such as hydration balance and disease markers. However, sweat has complex co...

Floating Omnidirectional Droplet Vibration Generator: Breakthrough Research Academic Background With the widespread application of Internet of Things (IoT) devices in marine environmental monitoring, how to provide stable power to these devices without relying on the power grid has become an urgent issue. Traditional renewable energy sources such a...

Research on Programmable Shape Optimization and Deformation Problems: Development and Application of the Morpho Environment Academic Background Soft materials play a crucial role in the fields of science and engineering, particularly in areas such as soft robotics, structured fluids, biological materials, and particulate media. These materials unde...

Machine Learning Boosts Quantum Chemistry: Predicting Molecular Electronic Structures Approaching Coupled-Cluster Accuracy Academic Background In physics, chemistry, and materials science, computational methods are key tools for uncovering the mechanisms behind diverse physical phenomena and accelerating materials design. However, quantum chemistry...

Predicting the Emergence of Crystals from Amorphous Precursors: Deep Learning Empowers Breakthroughs in Materials Science Background Introduction The process of crystallization from amorphous materials holds significant importance in both natural and laboratory settings. This phenomenon is widespread in various processes ranging from geological to ...