Results 71 to 80 of about 51,989 (262)

Artificial Intelligence‐Assisted Workflow for Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling

open access: yesAdvanced Materials, EarlyView.
AI‐Assisted Workflow for (Scanning) Transmission Electron Microscopy: From Data Analysis Automation to Materials Knowledge Unveiling. Abstract (Scanning) transmission electron microscopy ((S)TEM) has significantly advanced materials science but faces challenges in correlating precise atomic structure information with the functional properties of ...
Marc Botifoll   +19 more
wiley   +1 more source

Simulation and Experimental Validation of a 1D Cabin Thermal Model for Electric Trucks with Enhanced Insulation and Heating Panels

open access: yesWorld Electric Vehicle Journal
To reduce emissions in the existing transportation system and lower carbon dioxide (CO2) output, battery electric vehicles (BEVs) offer a promising approach due to their higher energy efficiency. However, their driving range still falls short compared to
Imre Gellai   +3 more
doaj   +1 more source

Polyimide‐Linked Hexaazatriphenylene‐Based Porous Organic Polymer with Multiple Redox‐Active Sites as a High‐Capacity Organic Cathode for Lithium‐Ion Batteries

open access: yesAdvanced Materials, EarlyView.
A high‐capacity polyimide‐linked porous organic polymer (HAT‐PTO) incorporating numerous redox‐active centers is synthesized via a hydrothermal reaction, delivering a high theoretical capacity of 484 mAh g−1. In situ hybridization with carboxyl‐functionalized multiwalled carbon nanotubes enhances conductivity and stability, achieving 397 mAh g−1 at C ...
Arindam Mal   +7 more
wiley   +1 more source

Modelling, Simulation, and Experimental Validation of a Thermal Cabin Model of an Electric Minibus

open access: yesEnergies
In response to the urgent need for decarbonising the transport sector, this paper analyses the thermal performance of a battery electric minibus under cold ambient conditions.
Thomas Bäuml   +4 more
doaj   +1 more source

Intelligent Acousto‐Electrical Metamaterials (IAM) for Sound Source Detection

open access: yesAdvanced Materials, EarlyView.
Our proposed metamaterial concept enables sound source detection using a single material, in contrast to conventional arrays that require dozens or even hundreds of transducers. We show that the coupled acoustic–vibrational–electrical responses in piezoelectric metamaterials give rise to topology‐governed charge transport, producing distinct voltage ...
Victor Couëdel   +7 more
wiley   +1 more source

The cost of aggressive electrification targets – Who bears the burden without mitigating policies?

open access: yesTransportation Research Interdisciplinary Perspectives
To reduce greenhouse gas emissions, governments worldwide have set aggressive targets for a transition from internal combustion engine vehicles (ICEVs) to electric vehicles (EVs).
Debapriya Chakraborty   +2 more
doaj   +1 more source

Dexime: A Selectively Enzyme‐Degradable Hydrogel for Protein Therapeutic Release

open access: yesAdvanced Materials, EarlyView.
A dextrin‐oxime hydrogel (dexime) is produced using ketone or aldehyde modified dextrin and tetra‐oxyamine modified poly(ethylene glycol). The rheological and mechanical properties of dexime are tunable. Dexime is injectable, cytocompatible, hydrolytically stable, and selectively degradable by α‐amylase.
Quinton E. A. Sirianni   +5 more
wiley   +1 more source

The Effect of Distributed Parameters on Conducted EMI from DC-Fed Motor Drive Systems in Electric Vehicles

open access: yesEnergies, 2016
The large dv/dt and di/dt outputs of power devices in DC-fed motor drive systems in electric vehicles (EVs) always introduce conducted electromagnetic interference (EMI) emissions and may lead to motor drive system energy transmission losses.
Li Zhai   +3 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

open access: yesAdvanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu   +5 more
wiley   +1 more source

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