Results 71 to 80 of about 3,436 (217)

High‐Throughput Screening and Interpretable Machine Learning for Rational Design of Bimetallic Catalysts for Methane Activation

Advanced Science, EarlyView.
ABSTRACT Methane's efficient catalytic removal is vital for sustainable development. Bimetallic catalysts, though promising for methane activation, pose a design challenge due to their complex compositional space. This work introduces an integrated framework that combines high‐throughput density functional theory (DFT) and interpretable machine ...
Mingzhang Pan, Tian Zhang, Jiawei Dong, Yubao Xie, Kaifeng Zhong, Wei Guan, Haiqiao Wei, Changcheng Fu, Yaqiong Su   +8 more
wiley   +1 more source

Interpretable Machine Learning Framework for Nb─Si Based Alloy Design with Enhanced Fracture Toughness

Advanced Science, EarlyView.
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen, Chao Xu, Jingyue Yu, Qi Wang, Hongze Fang, Shuo Yin, Turab Lookman, Ruirun Chen   +7 more
wiley   +1 more source

Quand le travailleur social intervient dans un contexte à caractère sectaire

Criminologie, 2008
RésuméLe rôle du travailleur social est déterminant dans la prévention, la détection et la prise en charge des enfants en risque ou en danger. L’une des difficultés à laquelle il doit faire face en présence d’un groupe à dérives sectaires, consiste à ...
Jean-Yves Radigois
doaj   +1 more source

A Machine Vision‐Guided Microphysiological Platform With Automated Microfluidics Enables Longitudinal Biomarker Monitoring and Emulation of Translationally Relevant Exposure Scenarios

Advanced Science, EarlyView.
A pneumatically actuated multi‐tissue microphysiological system is integrated with AI‐based machine vision and automatic sampling and replenishment systems. The platform allows for the emulation of translationally relevant long‐term pharmacokinetic exposure scenarios for multiple weeks while enabling longitudinal monitoring of response biomarkers ...
Jibbe Keulen, Yi Zhong, Laura Dangel, Sonia Youhanna, Reza Zandi Shafagh, Jinhye Ryu, Domnica‐Gabriela Gurau, Mathias Haag, Thomas E. Mürdter, Yingxin Liang, Iro Beligiani, Nicole Ziegler, Sabine Willems, Nayere Taebnia, Wouter van der Wijngaart, Volker M. Lauschke   +15 more
wiley   +1 more source

Data‐Driven Design of Self‐Adhesive Epidermal Electrodes and Sensors

Advanced Science, EarlyView.
This work presents self‐adhesive, stretchable epidermal electrodes and sensors developed through a data‐driven design framework that integrates artificial neural networks with genetic algorithms. By tailoring optimization objectives, either maximizing electrical conductivity and adhesion or enhancing piezoresistive sensitivity, the study enables the ...
Xuan Li, Shilei Wang, Milad Razbin, Danish Tahir, Chen Sang, Shuhua Peng, Markus Müllner, Wenlong Cheng, Wei Chen, Chun Hui Wang, Shuying Wu   +10 more
wiley   +1 more source

Studies on Counter Electrode Materials in Aqueous Zinc Half‐Cell Configurations

Advanced Science, EarlyView.
Coulombic efficiency is a key metric for zinc reversibility in aqueous zinc‐ion batteries, but its reliability in zinc half‐cells is strongly influenced by poorly understood counter‐electrode materials. By systematically comparing Cu, Ti, stainless steel, and Al to identify reactions associated with current collectors, we find that Ti is the metal ...
Peiming Chen, Ruwei Chen, Xuhuan Xiao, Zhe Cui, Guanjie He   +4 more
wiley   +1 more source

Mesure de l’inégalite en aversion au risque des investisseurs : méthode et application au contexte tunisien

Academic Finance, 2012
Cet article etudie les inégalités dans les mesures de l’aversion au risque dans le contexte des investissements financiers en tunisie. Nous explicitons d’abord les facteurs constitutifs de l’aversion pour le risque. Les acteurs etudiés sont des décideurs
Jihene JEBENIANI GOUIDER, Mokhtar KOUKI
doaj  

Rockfor.NET : le premier outil de diagnostic rapide de l’aléa chute de pierres à l’aval d’une forêt de protection Rockfor.NET : the first tool for a rapid assessment of the rockfall hazard below a protection forest [PDF]

Sciences, Eaux & Territoires, 2010
En montagne, la forêt est une barrière de protection efficace contre les risques naturels comme les chutes de pierres et de rochers qui compromettent la sécurité des biens et des personnes.
Frédéric Berger et Luuk Dorren
doaj  

Large‐Area Noise‐Resilient Multiplexing Triboelectric Biomechanical Sensing on Clothing for High‐Precision Full‐Body Motion Capture in Wearables

Advanced Science, EarlyView.
A large‐area, noise‐resilient multiplexed triboelectric sensing garment based on a multilayer shielded architecture and SnS2 nanoflower‐engineered hybrid materials enables interference‐suppressed, high‐fidelity full‐body motion tracking, achieving 0.13% signal misrecognition, 57 dB electromagnetic noise attenuation, and >1.5 N threshold force, while ...
Beibei Shao, Ming‐Han Lu, Wei‐Chen Peng, Wei‐Chun Yang, Yi‐Ting Chen, Jiun‐Wei Fong, Tzu‐Ching Lu, Tai‐Chen Wu, Zhi‐Xian Yan, Kai‐Yuan Hsiao, Jiann‐Yeu Chen, Ming‐Yen Lu, Heng‐Jui Liu, Ruiyuan Liu, Ying‐Chih Lai   +14 more
wiley   +1 more source

Neuromorphic Devices and Computing for Sensing, Memory, and Control

Advanced Science, EarlyView.
This review introduces neuromorphic devices made from diverse materials. These devices mimic neuronal functions and architectures and, when integrated with artificial or biological computing, can form closed loops with neurons for pressure, optical, acoustic, and biochemical sensing and modulation.
Zhengguang Zhu, Nicholas Schaffer, Xiao Yang   +2 more
wiley   +1 more source