Results 91 to 100 of about 137,992 (312)

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 more
wiley   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

La création de la monnaie électronique : Analyse des conditions de création, des risques et responsabilités dans la zone CEMAC [PDF]

Revue Hybrides
La monnaie électronique connait une grande expansion dans la zone CEMAC. Les avantages de flexibilité de manipulation et de rapidité qu’offre la monnaie électronique, fait d’elle le choix de plusieurs consommateurs.
Jean Bruno Ceppa
doaj  

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

Les décisions face aux risques majeurs : retours d’expériences et pistes d’amélioration

, 2014
International ...
N. Dechy, Dehouck, L., Merad, Myriam, Dechy, N., L. Dehouck, Lassagne, M., Merad, M., Dehouck, Laurent, Lassagne, Marc, M. Merad, M. Lassagne, Dechy, Nicolas   +11 more
core   +1 more source

Advanced Dental Composite Technology via Bisilanized Dual‐Action Nanofillers for Biofilm Control

Advanced Science, EarlyView.
A multimodal research strategy has led to the development of an innovative resin‐based composite (RBC) with dual antibacterial action. The S_CM‐RBC formula showed strong antibiofilm activity, excellent mechanical strength, and biosafety. It effectively controlled oral bacteria in prevention of caries recurrence, and maintained pulp health in a rat ...
Chenmin Yao, Line Etiennot, Naiera Zayed, Shengjie Liang, Mehraveh Saghi, Jelle Verdonck, Lingyue Liu, Fei Zhang, Wim Teughels, Cui Huang, Kirsten Van Landuyt, Bart Van Meerbeek   +11 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

Full‐Stack Architectures for Intelligent Brain‐Computer Interfaces

Advanced Science, EarlyView.
System‐level overview of brain–computer interfaces (BCIs), illustrating the integration of neural signal acquisition, wireless transmission, and adaptive decoding. Advanced electrode, tissue interfaces, energy‐efficient communication, and robust algorithms collectively enable stable signal quality, real‐time processing, and closed‐loop operation ...
Hee Kyu Lee, Hyun Bin Kim, Sang Uk Park, Janghoon Joo, Jinhong Min, Geumbee Lee, Joohoon Kang, Hyoyoung Jeong, Jae‐Young Yoo, Sang Min Won   +9 more
wiley   +1 more source

Risques torrentiels : erosion et crues

, 1997
SIGLEAvailable from INIST (FR), Document Supply Service, under shelf-number : RP 185 (4227) / INIST-CNRS - Institut de l'Information Scientifique et TechniqueMinistere de l'Amenagement du Territoire et de l'Environnement, 75 - Paris (France).
Universite Europeenne d'Ete sur les Risques Naturels, FR
core  

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