Results 91 to 100 of about 173,289,208 (196)

Ether‐Based Electrolytes and the Solvation Structure in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
Ether electrolytes enable high‐performance sodium‐ion batteries through their unique physicochemical properties, particularly distinctive solvation structures and co‐intercalation behavior. However, the localized solvation structure and its dynamic evolution during electrochemical processes remain a “black box”.
Jiaxin Ding, John T. S. Irvine
wiley   +1 more source

Mechanochemically Disordered Li2Ta2OCl10 Oxyhalide Unlocks Superionic Conductivity (>10 mS.cm−1)

Advanced Energy Materials, EarlyView.
This work presents a new crystalline oxyhalide, Li2Ta2OCl10, built from [Ta2OCl10]2− dimers. The disorder induced by ball‐milling drives the dramatic 5000‐fold increase in ionic conductivity to reach 11 mS.cm−1. The material shows promise as a solid electrolyte for batteries and opens new prospects for the discovery of new dimer‐based compounds ...
Clément Morel, Anshuman Chaupatnaik, Jie Liu, Mingxue Tang, Horyung Ji, Mouna Ben Yahia, Marie‐Liesse Doublet, Tatiana N. Kobernik, Dmitry A. Aksyonov, Artem M. Abakumov, Gwenaëlle Rousse, Jean‐Marie Tarascon   +11 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

Summer means employee ownership

, 1989
Twice a year; Vol. 1, no.

core  

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Enhanced Hydrogen Evolution Activity of MoS2 Through Solid Solution Modification of Its Edge Sites With Ruthenium

Angewandte Chemie, EarlyView.
Modulating the edge sites of molybdenum disulfide significantly boosts hydrogen production. By depositing Ru to form an edge‐coordinated solid solution, we accelerate water dissociation and shift the hydrogen evolution reaction pathway to Volmer–Tafel.
Jinsong Zhou, Tsz Kei Leung, Denis A. Kuznetsov, Christoph R. Müller, Lei Ran, Yingguang Zhang, Xin Li, Gang Li, Yifan Xu, Keda Chen, Qinglan Tang, Yaoyang Yu, Michael K.H. Leung   +12 more
wiley   +2 more sources

A shift in the objective deduction of secondary fact in presumption

, 2017
The paper looks at the resulting-trust analysis adopted by the Supreme Court in the case of Prest v Petrodel Resources and argues that there is an inclination to an objectively deductive measure of inferred intention of the transferor.
Mark Hsiao (7703648)
core   +3 more sources

AI‐Based Immortality: The Ethical Advantage of the Aretai Approach

AI &Innovation, EarlyView.
ABSTRACT The convergence of artificial intelligence, digital identity technologies, and biogerontological ambitions has produced a novel set of philosophical problems that have not yet been adequately addressed within mainstream bioethical discourse. Digital life extension—encompassing AI‐generated avatars, neural data preservation, mind uploading, and
Mirko Daniel Garasic
wiley   +1 more source

Role of Graphene Oxide in the Nucleation and Growth of Gold Nanoparticles Revealed by Operando Time‐Resolved Studies

Angewandte Chemie, EarlyView.
Graphene oxide accelerates AuCl4− reduction under irradiation and directs edge‐selective nucleation and quasi‐one‐dimensional organization of gold nanoparticles at oxygen‐rich boundaries. Operando SAXS and UV–vis spectroscopy, supported by pulse radiolysis and DFT, reveal how progressive conversion of GO to rGO removes interfacial constraints, shifting
Liran Hu, Carine Clavaguéra, Zhenpeng Cui, Zhiwen Jiang, Thomas Bizien, Filippo Ferdeghini, Nguyen‐Thi Van‐Oanh, Michel Goldmann, François Muller, Samy Remita   +9 more
wiley   +2 more sources