Results 71 to 80 of about 121 (121)
Advanced Science, EarlyView.Magnetoelectric nanoparticles (MENPs) enable fully wireless, minutely invasive neuromodulation, and potentially neural recording, by converting magnetic into electric and, conversely, electric into magnetic fields, respectively, at high spatiotemporal resolution.
Elric Zhang +14 more
wiley +1 more source
Advanced Science, EarlyView.ABSTRACT All‐solid‐state batteries (ASSBs) have attracted considerable attention as next‐generation energy storage systems owing to their high energy density and safety. However, their performance is critically limited by insufficient solid–solid interfacial contact and severe chemomechanical degradation, particularly for micro‐sized silicon (µSi ...
Chanho Lee +12 more
wiley +1 more source
Advanced Science, EarlyView.In this work, we propose a CMP method for InP using NH4PF₆, which hydrolyzes under In3+ catalysis to form reactive species. These convert InP into low‐binding‐energy fluorides, facilitating removal and dissolution. The process delivers high material removal rates, smooth surfaces, and fluorine passivation that lowers defect density and improves ...
Shigong Fu +5 more
wiley +1 more source
Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics
Advanced Electronic Materials, EarlyView.Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim +7 more
wiley +1 more source
Sulfide‐Based Electrolytes for All‐Solid‐State Sodium Batteries
Advanced Energy Materials, EarlyView.This review covers the structural features and synthesis strategies of sulfide‐based solid electrolytes, as well as critical challenges related to conductivity, interfacial and moisture stability, and scaling‐up for practical application in Sodium‐based All Solid‐State Batteries.
Han Yang +6 more
wiley +1 more source
Impact of Moisture Exposure on Thermal Stability and Safety of Solid‐State Batteries
Advanced Energy Materials, EarlyView.Sulfide‐based solid‐state batteries (SSBs) hold significant potential for next‐generation energy storage, yet their practical deployment is hindered by the moisture sensitivity of sulfide solid electrolytes. This study examines how moisture exposure influences thermo‐electrochemical instability at the material and cell‐level, and underscores the ...
Md Toukir Hasan +7 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Sulfurized polyacrylonitrile (SPAN) is investigated as a cathode for room‐temperature Na–S batteries in ether‐based electrolytes under controlled discharge depths. Depth‐of‐discharge‐dependent structural evolution reveals that deep discharge below 1.0 V destabilizes SPAN structure, alters polysulfide equilibria, and promotes sodium dendrite formation ...
Liwen Yang +5 more
wiley +1 more source
Roadmap on Artificial Intelligence‐Augmented Additive Manufacturing
Advanced Intelligent Systems, EarlyView.This Roadmap outlines the transformative role of artificial intelligence‐augmented additive manufacturing, highlighting advances in design, monitoring, and product development. By integrating tools such as generative design, computer vision, digital twins, and closed‐loop control, it presents pathways toward smart, scalable, and autonomous additive ...
Ali Zolfagharian +37 more
wiley +1 more source
Automated Discovery of Multicellular Behavior for Optimized Plant Growth and Climate Resilience
Advanced Intelligent Systems, EarlyView.An automated robotic system is described for rapid scientific experimentation with multicellular organisms. By enhancing a robotic liquid handler with a custom developed deep learning algorithm and camera module, samples and data are prepared with minimal human intervention.
Mark A. DeAngelis +2 more
wiley +1 more source
Deep Reinforcement Learning Approaches for Sensor Data Collection by a Swarm of UAVs
Advanced Intelligent Systems, EarlyView.This article presents four decentralized reinforcement learning algorithms for autonomous data harvesting and investigates how collaboration improves collection efficiency. It also presents strategies to minimize training times by improving model flexibility, enabling algorithms to operate with varying number of agents and sensors.
Thiago de Souza Lamenza +2 more
wiley +1 more source