Results 131 to 140 of about 584,217 (286)

Faster and Durable: A Cell‐to‐System Validation of a Low‐Degradation Fast‐Charge Protocol for Li‐Ion Batteries

Advanced Science, EarlyView.
A physics‐based framework resolving graphite phase‐separation dynamics establishes a predictive, degradation‐aware fast‐charging methodology for commercial Li‐ion batteries. The resulting model‐informed protocol achieves 20%–80% state‐of‐charge in 14 min while matching the long‐term degradation of a commercial 25‐minute EV strategy.
Marco Lagnoni, Francesco Giuseppe Quilici, Davide Cademartori, Claudio Scarpelli, Uways Nurulain Mithoowani, Federica Barontini, Alessandro Ruvio, Monica Puccini, Giovanni Lutzemberger, Maria Paola Carpanese, Antonio Bertei   +10 more
wiley   +1 more source

Solid Ethanol as a Renewable, Low‐Toxicity, Electron‐Beam Direct Write, and Biomedical Material

Advanced Science, EarlyView.
3D ice lithography (3DIL) enables the fabrication of intricate submicrometer objects using ethanol as a renewable starting material. This study combines process optimization, structural and material analysis, and biomedical applications, from cell culture scaffolds to the patterning of neurostimulation electrodes, demonstrating performance in both in ...
Bruno Perdigão, Bingdong Chang, Gwendoline A. E. Anand, Lechan Tao, Kayeon Kim, Anne Zebitz Eriksen, Malte Alexander Schönhoff, Guilherme Ferreira, Xiyuan Liu, Su Genelioglu, Joachim Lyngholm‐Kjærby, Neha Zahoor, Johan Ulrik Lind, Alice Bastos da Silva Fanta, Thomas Willum Hansen, Changsi Cai, Anpan Han   +16 more
wiley   +1 more source

Environmental Insights and Sustainability Opportunities for Scaled‐Up MXene Production Without Etching

Advanced Science, EarlyView.
Through a systematic and comprehensive analysis of the environmental impacts for the emerging MXene synthesis pathways, this study presents process transformation and optimization opportunities for low‐carbon MXene production from laboratory to industrial scales.
Yushuai Huang, Peng Peng, Maoqiao Xiang, Fen Yue, Jiangyan Wang, Wenwei Liu, Qingshan Zhu   +6 more
wiley   +1 more source

Phase‐Resolved Defect Transport Mechanisms Governing Asynchronous Ordering in a Eutectic High‐Entropy Alloy

Advanced Science, EarlyView.
Phase‐resolved experiments and atomistic simulations reveal asynchronous ordering behaviors in a eutectic high‐entropy alloy during isothermal annealing. Distinct defect transport mechanisms are identified in coexisting B2 and BCC phases, showing that vacancy and interstitial mediated diffusion governs phase‐dependent thermal stability.
Huiwen Yao, Qingshuang Ma, Jie Xiong, Jing Bai, Huijun Li, Qiuzhi Gao   +5 more
wiley   +1 more source

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

Monte Carlo Simulation Approach to Calculate Value at Risk: Application to WIG20 and mWIG40

Nauki o Finansach, 2019
This paper reports our estimates of the Value at Risk using Monte Carlo simulations for which we developed a computer program. Our approach involves obtaining Monte Carlo parameters by fitting real historical data of different periods to probability ...
Aleksandra Helena Pasieczna
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