Results 61 to 70 of about 5,139,092 (256)
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani +7 more
wiley +1 more source
Microwave-assisted technologies for recycling and regeneration of spent lithium-ion batteries
The rapid growth of lithium-ion battery (LIB) deployment in electric vehicles and energy storage systems has led to an increasing volume of end-of-life batteries, highlighting the urgent need for efficient and sustainable recycling technologies ...
Jiawei Wu +10 more
doaj +1 more source
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
Battery choice and management for New Generation Electric Vehicles [PDF]
Different types of electric vehicles (EVs) have been recently designed with the aim of solving pollution problems caused by the emission of gasoline-powered engines.
Affanni, A. +22 more
core +1 more source
In stand-alone dc microgrids, battery energy storage systems (BESSs) are conventionally used for regulating the dc-link voltage, causing a continuous battery operation.
Glen G. Farivar +13 more
core +1 more source
Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose +7 more
wiley +1 more source
Controlled Synthesis of Zn3(OH)2V2O7·2H2O with 3D micro/nano-structure via electrochemical method
Zn3(OH)2V2O7·2H2O is synthesized by an electrochemical method which gives a 3D micro/nano-hierarchical structures consisting of 2D nanosheets that intercrossed each other by self-assembly.
Wenping Jiang +8 more
doaj +1 more source
Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng +7 more
wiley +1 more source
Solid-state electrolytes (SSEs) are the essential component of all-solid-state batteries (ASSBs). Designing better SSEs holds the key to the success of the ASSBs.
Yanlong Wu +16 more
doaj +1 more source
Edible electronics needs integrated logic circuits for computation and control. This work presents a potentially edible printed chitosan‐gated transistor with a design optimized for integration in circuits. Its implementation in integrated logic gates and circuits operating at low voltage (0.7 V) is demonstrated, as well as the compatibility with an ...
Giulia Coco +8 more
wiley +1 more source

