Results 161 to 170 of about 1,274,604 (303)

Beyond Imperfect Match: Silicon/Graphite Hybrid Anodes for High‐Energy–Density Lithium‐Ion Batteries

open access: yesAdvanced Energy Materials, EarlyView.
Silicon/graphite (Si/Gr) hybrid anodes are limited by Si's large volume change and mismatch with Gr. This review offers mechanistic insights into imperfectly matched Si/Gr hybrid anodes, elucidating heterogeneous lithiation behavior and interfacial failure pathways, and thereby informing the design of durable, high‐energy–density lithium‐ion batteries.
Jing Li   +6 more
wiley   +1 more source

Addressing the Challenges of 3C‐SiC—Synergetic Effect of Conductive Additives on the Performance of SiC as Anode Material for Lithium‐Ion Batteries

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
This study explores the role of conductive carbon black (CB) in enhancing the electrochemical activity of 3C‐SiC anodes for lithium‐ion batteries. By isolating the individual contributions of SiC and CB, the work demonstrates a synergistic effect that enables active lithiation in SiC, offering new insight into composite electrode design for improved ...
Teja Stüwe   +7 more
wiley   +1 more source

Color changes in wood during heating: kinetic analysis by applying a time-temperature superposition method

open access: green, 2010
Miyuki Matsuo   +5 more
openalex   +2 more sources

Layered Ti1‐xFexS2 Cathode Materials with Anionic Redox Chemistry for Mg Storage

open access: yesAdvanced Energy and Sustainability Research, EarlyView.
The predicted layered Ti‐Fe sulfides exhibit joint cationic and anionic redox and faster Mg2+ kinetics over pyrite forms and are promising cathodes for rechargeable Mg battery. Rechargeable magnesium batteries (RMBs) are a promising alternative to lithium‐ion batteries because of the high capacity and crustal abundance of magnesium.
Arup Chakraborty   +8 more
wiley   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Application of time–temperature superposition principle to Chinese fir orthotropic creep

open access: yesJournal of Wood Science, 2017
Hui Peng   +3 more
semanticscholar   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

open access: yesAdvanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Feature Selection for Machine Learning‐Driven Accelerated Discovery and Optimization in Emerging Photovoltaics: A Review

open access: yesAdvanced Intelligent Discovery, EarlyView.
Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang   +5 more
wiley   +1 more source

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