Results 101 to 110 of about 28,791 (261)

Self‐Cleaning Sensor Surfaces for Long‐Term Environmental Monitoring

Advanced Engineering Materials, EarlyView.
Long‐term use of unattended outdoor sensors without soiling or biofouling is achieved through generation of a micro‐ and nanorough cuvette surface by combing hydrophobic nanoparticles with fluorinated polymers, crosslinked and surface‐attached through CHic chemistry. The coating demonstrates self‐cleaning behavior and prolonged outdoor stability, which
Sanam Kumari Rajak, Yasmina Frey, Ulrike Wallrabe, Oswald Prucker, Jürgen Rühe   +4 more
wiley   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source

Design of a Multistable Finger Prosthesis with Programmable Metamaterials

Advanced Engineering Materials, EarlyView.
This research article shows the development of a multistable programmble metamaterial for the use as a finger prosthesis. The material was designed on different hierarchical levels where the influence of geometrical parameters and combination of mechanical elements was explored.
Franziska Wenz, Jannik Krohn, Alexander Leichner, Dilip Chalissery, Heiko Andrae, Chris Eberl   +5 more
wiley   +1 more source

Leveraging Symbolic Artificial Intelligence and Fuzzy Logic for Materials Science: A Review of Methods, Challenges, and Applications to Scarce and Imperfect Experimental Data

Advanced Engineering Materials, EarlyView.
This article explores the transformative potential of symbolic artificial intelligence (AI) in the field of materials science, particularly in leveraging experimental data. The article presents several symbolic AI models and discusses their applications in materials science.
Ahmed Amrani, Mohamed‐Ali Belloum, Laurence Boudet, Valentin Fouillard, Edwin Friedmann, Guillaume Lacharme, Ali Mahmoud, Jean‐Philippe Poli   +7 more
wiley   +1 more source

MODIFICATION OF THE ANALYTIC HIERARCHY PROCESS IN MINING INDUSTRY

Геотехнічна механіка
The Analytic Hierarchy Process (AHP), proposed by American mathematician Thomas Saaty, is widely used in various fields, including applied science, engineering, sociology, healthcare, ecology, and others. Thousands of papers have been published.
Yevhen Lapshyn, Oleksandr Shevchenko
doaj   +1 more source

Pilot Distractions and Interruptions in Airlines: Ranking of Sources by Analytic Hierarchy Process. [PDF]

Hum Factors
Ucler C, Balkan MO.
europepmc   +1 more source

Feasibility and Limitations of the Advanced Replica Process for Bioactive Glasses

Advanced Engineering Materials, EarlyView.
Periodic 3D‐printed Kelvin‐cell templates enable a controlled advanced replica process for fabricating highly porous glass lattices. Across P45K9, 45S5, and 13–93, material‐dependent differences in coating, burnout, and shrinkage lead to distinct strut morphologies, while comparable final porosities of 83%–88% are retained.
Swantje Funk, Elisabeth Keck, Alberto López‐Grande, Delia S. Brauer, Tobias Fey   +4 more
wiley   +1 more source

A peer-review decision support tool for research funding decision-making using the analytic hierarchy process. [PDF]

PLoS One
Al Harthi H, Al Nabhani M, Al Sabei S, A-Amri A, Al Hinaai S, AlDhuhli S.   +5 more
europepmc   +1 more source

Toward Full Interoperability in Materials Science: Integrating Workflows With Knowledge Graphs

Advanced Engineering Materials, EarlyView.
The connection of conceptual workflow design, portable execution, and ontology‐based semantics leading to provenance‐rich knowledge graphs are main contributors to interoperability in materials science and a prerequisite to AI‐assisted orchestration and for interoperable Materials Acceleration Platforms.
Jan Janssen, Osamu Waseda, Bernd Bayerlein, Simon Stier, Steffen Brinckmann, Abril Azócar Guzmán, Sarath Menon, Matthias A. Popp, Jesper R. Pedersen, Ivano E. Castelli, Jörg Waitelonis, Wolfgang Wenzel, Jörg Neugebauer, Jörg Schaarschmidt, Tilmann Hickel   +14 more
wiley   +1 more source

Development of a core competency evaluation indicator system for weight management nurses: a Delphi and analytic hierarchy process study. [PDF]

BMC Nurs
Wang L, Yang H, Zhang Y, Wang X, Qi X, Zhang S, Gou L.   +6 more
europepmc   +1 more source