Results 111 to 120 of about 167,660 (319)

Advanced Technologies for Characterizing and Detecting Battery Thermal Failure: A Review

Advanced Science, EarlyView.
Illustration of advanced characterization techniques to predict battery thermal failure. ABSTRACT Energy storage is essential in accelerating the global transition toward clean and sustainable energy across various sectors. Lithium‐ion batteries (LIBs) have become increasingly significant for energy storage due to their high energy density, low ...
Yongxiu Chen, Zeyu Sun, Wei Zong, Yuhang Dai, Kai Ling Ng, Paul R. Shearing   +5 more
wiley   +1 more source

Nernstian Diagnostics of Imperfect Selectivity in Naphthalene Diimide‐Based Aqueous Organic Redox Flow Battery

Advanced Science, EarlyView.
Non‐ideal redox electrolytes still govern the Nernstian behavior of electrode potentials in aqueous organic redox flow batteries under operation. We utilized this effect to analytically predict two scenarios of battery performance degradation. ABSTRACT Aqueous organic redox flow batteries (AORFBs) enhance the sustainability of battery energy storage ...
Faudillah Alhumairah, Viktor Gueskine, Tobias Abrahamsson, Ivan Hetman, Frida Domeij, Per Leandersson, Xenofon Strakosas, Cedrik Wiberg, Reverant Crispin, Mikhail Vagin   +9 more
wiley   +1 more source

Light‑Driven Propulsion of Graphene Aerogels in Microgravity

Advanced Science, EarlyView.
Ultralight graphene aerogels convert laser light into thrust. Parabolic‐flight experiments directly compare their motion in microgravity and at 1 g, revealing order‐of‐magnitude enhancements in distance, velocity, and transient thrust when weight and friction are removed (∼50 times enhancement).
Omnia Khattab, Rami Elkaffas, Basel Altawil, Omar Alsuwaidi, Afnan Almubashir, Claire Perfetti, Shanavas Shajahan, Marco Braibanti, Sean Swei, Carlo Saverio Iorio, Yarjan Abdul Samad   +10 more
wiley   +1 more source

Shadow‐Calibrated Stereo Vision for Colorimetric Sweat Analysis

Advanced Science, EarlyView.
By establishing a mathematical model that reconstructs 3D structures through geometric features of object shadows under controlled illumination, and combining it with Convolutional Neural Network‐based 2D image analysis for volumetric calibration, this work enables highly accurate 3D morphological reconstruction.
Ting Xiao, Yuwen Yan, Miaorong Lin, Jiahui Chen, Jianxin Meng, Xiang Cui, Peng Zhang, Fengyu Li   +7 more
wiley   +1 more source

A Robust Control Scheme for Renewable-Based Distributed Generators Using Artificial Hydrocarbon Networks

Energies, 2019
Distributed generators (DGs) based on renewable energy systems such as wind turbines, solar panels, and storage systems, are key in transforming the current electric grid into a green and sustainable network.
Antonio Rosales, Pedro Ponce, Hiram Ponce, Arturo Molina   +3 more
doaj   +1 more source

Giant Conductivity Modulation and Chemical Neuromodulation via Proton‐Electron Coupling in a Hydrogen‐Bonded Coordination Polymer

Advanced Science, EarlyView.
A “de‐doping” strategy positions mixed protonic–electronic conductors (MPECs) as adaptive neuromorphic platforms with dynamically tunable transport. Co‐BAND achieves giant conductivity modulation (>106) and chemically tunable synaptic plasticity. Analogous to biological neuromodulation, solvent vapors dynamically reprogram the device's learning rules ...
Kwangmin Park, Jumin Park, Huiyeong Ju, Nasim Arafat, Byoung Gwan Lee, Joohee Oh, Eejin Jang, Hyunseob Lim, Seok Min Yoon, Dae‐Woon Lim, Intek Song   +10 more
wiley   +1 more source

Impact of Unbalanced Grid Voltages on Capacitor Voltage Ripple and Capacitance Selection in AC/AC MMCs

IEEE Open Journal of Power Electronics
This paper evaluates the submodule capacitor current and voltage ripple of a direct three-phase to single-phase ac/ac MMC under unbalanced grid conditions.
Ygor Pereira Marca, Maurice G. L. Roes, Cornelis G. E. Wijnands, Henk Huisman   +3 more
doaj   +1 more source

Organoid Brain‐Machine‐Interface Devices for Central Nervous System Repair

Advanced Science, EarlyView.
We envision organoid brain‐machine‐interface (Organoid‐BMI) devices as new biohybrid bidirectional communication pathways to connect the human CNS and the external world for personalized CNS repair and regeneration. ABSTRACT Central nervous system (CNS) repair and regeneration suffer from tremendous clinical challenges due to current limitations in ...
Yantao Xing, Yang Yang, Zichen Hong, Chunhui Tian, Huiyu Chu, Susanne Clara Prokop, Hongwei Cai, Mingxia Gu, Jason Tchieu, Ken Mackie, Feng Guo   +10 more
wiley   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Optimal control strategy of voltage source converter-based high-voltage direct current under unbalanced grid voltage conditions

, 2016
This study presents an optimisation control strategy for the power control of voltage source converter-based high-voltage direct current transmission under unbalanced grid voltage conditions.
Sun Lixia, Yu Chen, Zhe Wang, P. Ju, Yuqing Jin   +4 more
semanticscholar   +1 more source