Investment Micro-Casting 3D-Printed Multi-Metamaterial for Programmable Multimodal Biomimetic Electronics

Chemistry, Nanoscience, Engineering, Electrical Engineering, Materials Science, Information Science, Electronic Information, Medicine, Life Sciences, Bioengineering,
3D printing   multi-metamaterial   biomimetic electronics   programmable   modal sensing  

Research on Multi-material Biomimetic Electronics Based on Investment Micro-casting 3D Printing Academic Background With the rapid development of biomimetic electronics, electronic skin (E-skin) and flexible sensors that mimic human perceptual functions have shown broad application prospects in robotics, medical devices, and human-computer interact...

Floating Electricity Generator for Omnidirectional Droplet Vibration Harvesting

Floating Electricity Generator for Omnidirectional Droplet Vibration Harvesting

Chemistry, Energy Chemistry, Nanoscience, Earth Sciences, Engineering, Ocean Engineering, Electrical Engineering, Energy Engineering, Materials Science,
floating generator   droplet vibration   omnidirectional energy harvesting   capacitor   ocean energy  

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...

Decoupled Peak Property Learning for Efficient and Interpretable Electronic Circular Dichroism Spectrum Prediction

Chemistry, Computational Chemistry, Information Science, Artificial Intelligence,
Electronic Circular Dichroism   Peak Property Learning   Deep Neural Network   Molecular Chirality   Spectrum Prediction  

Efficient and Interpretable Electronic Circular Dichroism Spectrum Prediction: Decoupled Peak Property Learning Academic Background Electronic Circular Dichroism (ECD) spectroscopy is a crucial tool for studying molecular chirality, particularly in asymmetric organic synthesis and the pharmaceutical industry, where it is used to distinguish the abs...

Deep Bayesian Active Learning Using In-Memory Computing Hardware

Chemistry, Nanoscience, Engineering, Electrical Engineering, Information Science, Computer Science, Semiconductors and Information Devices, Artificial Intelligence,
in-memory computing   deep Bayesian learning   uncertainty capture   robot skill learning   efficient learning  

With the rapid development of artificial intelligence (AI) technologies, deep learning has made significant progress in complex tasks. However, the success of deep learning largely relies on massive amounts of labeled data, and the data labeling process is not only time-consuming and labor-intensive but also requires specialized domain knowledge, m...

A Programmable Environment for Shape Optimization and Shapeshifting Problems

Physics, Mechanics, Chemistry, Polymer Chemistry, Materials Science, Information Science, Computer Science,
Shape optimization   Soft matter   Programmable environment   Morpho   Complex fluids  

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...