Results 151 to 160 of about 2,311,006 (294)
Advanced Electronic Materials, EarlyView.Polylactic acid (PLA) embedded in 3D anodic aluminum oxide (3D‐AAO) yields triboelectric nanogenerators (TENGs) with ɛeff = 5.1, delivering 20V and 108µW both per cm2. These agglomeration‐resistant, compostable/biocompatible devices retain 95% output after 104 cycles, enabling robust self‐powered Internet of Things (IoT) sensing.
Carlos G. Cobos +5 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Gas evolution behaviors of sodium layered oxide cathodes with varying compositions, cutoff voltages, dopants, and particle sizes/morphologies have been systematically investigated by online electrochemical mass spectrometry. The fundamental outgassing mechanisms of sodium‐based cathodes compared to lithium‐based cathodes have been elucidated.
Chen Liu, Zehao Cui, Arumugam Manthiram
wiley +1 more source
Advanced Energy Materials, EarlyView.The densification process of Li6PS5Cl powders with varying particles size distributions reveals differences in smaller and larger distributions. Higher strain is revealed for the smaller particle size distribution from X‐ray diffraction. Discrete element method simulations uncover that the reason for the higher strain is not the particle size itself ...
Vasiliki Faka +14 more
wiley +1 more source
Preparation of Highly Uniform Silica Microspheres Recycled from Silicone Rubber and Their Application as Fillers in Epoxy Resin-Based Insulating Materials. [PDF]
Materials (Basel)Chen Z, Cheng L, Xu W, Liao R.
europepmc +1 more source
Advanced Energy and Sustainability Research, EarlyView.Triboelectric nanogenerators are vital for sustainable energy in future technologies such as wearables, implants, AI, ML, sensors and medical systems. This review highlights improved TENG neuromorphic devices with higher energy output, better stability, reduced power demands, scalable designs and lower costs.
Ruthran Rameshkumar +2 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source
Redox‐Mediated Electrochemical Regeneration of Spent LiFePO4 Battery Cathodes
Angewandte Chemie, EarlyView.This work demonstrates a redox‐mediated electrochemical method for direct recycling of spent LiFePO4 battery cathodes. A water‐soluble mediator, iron propylenediamine tetraacetate (Fe‐PDTA), transports electrons into an off‐electrode reservoir where it drives compositional and structural repair of degraded LiFePO4.
Deok‐Ho Roh +5 more
wiley +2 more sources
Advanced Intelligent Discovery, EarlyView.Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir +4 more
wiley +1 more source