Results 131 to 140 of about 1,838,834 (287)

Leveraging Data‐Driven and Fundamental Insights for Electrolyte Innovation in Lithium Metal Batteries

Advanced Materials, EarlyView.
Using 640 curated electrolyte formulations, we apply data‐driven analysis to reveal how molecular features govern coulombic efficiency (CE) in lithium metal batteries. Fluorine content correlates positively with CE, while oxygen, carbon, and higher boiling points correlate negatively.
Minh Van Duong, Mitchell Kaiser, Xia Cao, Trung Thien Nguyen, Au Nguyen, Phung My Loan Le, Jun Liu   +6 more
wiley   +1 more source

Electrolyte Engineering Challenges and Opportunities for Next‐Generation Aqueous Ammonium‐Ion Batteries

Advanced Materials, EarlyView.
Aqueous ammonium‐ion batteries (AAIBs) face a hydrogen‐bond paradox: the HB network enables fast NH4+ transport but triggers water decomposition. This review dissects this dilemma, evaluates multiple electrolyte engineering strategies, and outlines four future directions for next‐generation AAIB design ABSTRACT Aqueous ammonium‐ion batteries (AAIBs ...
Zi‐Hang Huang, Xiaoyu Liu, Shuai Mao, Lingfeng Zhu, Zhijun Wu, Hongge Pan, Tianyi Ma   +6 more
wiley   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Data-driven online prediction method for dynamic wear state of worm grinding wheels

Jixie chuandong
ObjectiveAiming at the problems of high complexity, numerous influencing factors, and difficulty in prediction regarding the wear state of worm grinding wheels in the gear machining of new energy vehicles, an online prediction method for the wear state ...
TAO Yijie, LI Guolong, LEI Jun, FU Li, NIE Shaowen, LIU Huan   +5 more
doaj  

Prediction and Analysis of Casing Wear in Medium-deep Horizontal Wells

Shiyou jixie, 2019
During drilling operation, it is especially important to predict the casing wear in some complex wells and take corresponding anti-wear measures. By taking two complex wells targeting middle-deep formation for case study, the wear condition of the casing
Liu Yewen, Xu Hao, Cheng Bingfang, Niu Hongbo, Wei Wenxiang   +4 more
doaj  

Bioinspired Mechanosensitive Organic Artificial Neuron With Programmable Excitatory and Inhibitory Responses via Nonlinear Mechano‐Electrochemical Coupling

Advanced Materials, EarlyView.
Organic artificial neurons couple mechanical deformation and ionic environments through nonlinear mechano‐electrochemical dynamics. Mechanical strain and electrolyte concentration reshape their nonlinear electrical characteristics, programming excitatory or inhibitory spiking responses that mimic mechanosensitive biological neurons and enable ...
Rassen Boukraa, Pietro Belleri, Zsolt M. Kovács‐Vajna, Paschalis Gkoupidenis, Fabrizio Torricelli   +4 more
wiley   +1 more source

Textile‐Based Capacitive Pressure Sensors Enabled by Ultrasonic Spray‐Coated Carbon Black Electrodes and Electrostatic Flocking

Advanced Materials Interfaces, EarlyView.
A 4‐layer Kevlar‐based composite is fabricated by combining ultrasonic spraying and electrostatic flocking. Carbon black dispersion is first deposited onto Kevlar fabric to create a conductive electrode. Nylon fibers are then electrostatically flocked onto the coated fabric, forming a dielectric layer.
Mengdi Chen, Hongxuan Li, Lei Shi, Fei Huang, Yuting Zhu, Wee Chen Gan, Swee Tiam Tan, Kean Aw   +7 more
wiley   +1 more source

Controlled Synthesis of Tri‐ and Multi‐Doped Graphene

Advanced Materials Interfaces, EarlyView.
This review systematically evaluates synthesis routes for tri‐ and multi‐doped graphene, from hydrothermal and pyrolysis methods to flash Joule heating, critically assessing how each governs dopant incorporation, bonding configuration, and resulting electronic properties.
Maria Hasan, Alicja Bachmatiuk, Gražyna Simha Martynková, Karla Čech Barabaszová, Mark Hermann Rümmeli   +4 more
wiley   +1 more source

In production system for tool wear prediction using multi-sensor time series and machine learning models. [PDF]

Discov Appl Sci
Dreyer J, Carrino S, Ghorbel H, Cotofrei P.   +3 more
europepmc   +1 more source

Dental Microwear Texture Analysis on Radular Teeth

Advanced Materials Interfaces, EarlyView.
3D microwear textures reveal how gastropod radular teeth respond to controlled abrasive contact. Distinct surface signatures distinguish regular abrasion from fracture‐dominated material removal, showing how mineralized coatings, fibrous cores, and substrate properties jointly shape wear and failure in a biological scraping interface.
Wencke Krings, Stanislav N. Gorb, Ellen Schulz‐Kornas   +2 more
wiley   +1 more source