Results 131 to 140 of about 3,850,693 (278)

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

Unlocking Development In Papua: The Reciprocal Relationship between Economic Growth and HDI Under Special Autonomy

Ekuilibrium: Jurnal Ilmiah Bidan Ilmu Ekonomi
This study examines the bidirectional relationship between economic growth and human development in Indonesia’s Papua Region, a context characterized by persistent welfare disparities despite the implementation of Special Autonomy.
Yosef Lefaan, Joni Joni, Endang Hartiningsih, Julius Ary Mollet, Marthen Liga   +4 more
doaj   +1 more source

Supporting AI Readiness Through Digital Workflows in Materials Science

Advanced Engineering Materials, EarlyView.
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns, Lateef Abdul, Stephan Barth, Martin Glauer, Manuel Günther, Fabian Neuhaus, Jan‐Ole Perschewski, Thomas Bjarsch, Henrik Abel, Johannes Bosch, Niklas Meyer, Peter Hofmann, Marc Drechsler, Alexander Dyck, Dhanunjaya Kumar Nerella, Marvin Tegeler, Oleg Shchyglo, Ingo Steinbach, Timo Klecker, Henk Birkholz, Ehsan Borzabadi Farahani, Bernard Fedelich, Cetin Haftaoglu, Tarakeshwar Lakshmipathy, Elena Garcia Trelles, Christoph Schweizer, Reza Darvishi Kamachali, Lukas Koschmieder, Janin Eiken, Markus Apel, Sung‐Min Wi, Jiangdong Zhao, Andreas Fezer, Nicolas Christ, Patrick Schneider, Eldor Urinov, Veit Königer, Volker Knoblauch, Janik Harter, Thomas Seifert, Thitichai Janpheng, Florian Fuchs, Fabian Teichert, Jörg Schuster, Anke Bardehle, Andreas Limper, Ulrich Giese, Carlos Lucke, Mario Beiner, Christoph Gögelein, Lisa Leuchtenberger‐Engel, Christian Hopmann, Felix Wentzien, Heike Wittek, Benjamin Klie, Alexander Röhrs, Ludger Overmeyer, Achraf Atila, Marcel Sadowski, Leopold Talirz, Jan Janssen, Jesper R. Pedersen, Peter Beck, Tejs Vegge, Ivano E. Castelli, Wolfgang Wenzel, Tilmann Hickel, Jörg Schaarschmidt   +67 more
wiley   +1 more source

The impact of open innovation on municipal waste recycling rate and resource productivity in the European Union countries: The moderating role of environmental regulations

Sustainable Environment
The waste crisis and pressure on natural resources call for innovative approaches to achieve circular economy objectives. Using panel data from 27 European Union countries (2010–2023), this study evaluates the effects of open innovation (OI) on the ...
Amir Hossein Nimjerdi
doaj   +1 more source

Laser‐Induced Graphene from Waste Almond Shells

Advanced Functional Materials, EarlyView.
Almond shells, an abundant agricultural by‐product, are repurposed to create a fully bioderived almond shell/chitosan composite (ASC) degradable in soil. ASC is converted into laser‐induced graphene (LIG) by laser scribing and proposed as a substrate for transient electronics.
Yulia Steksova, Anna Chiara Bressi, Marina Galliani, Attilio Marino, Gianni Ciofani, Eduardo Machado‐Charry, Hilda Gomez Bernal, Alessandra Francini, Luca Sebastiani, Francesco Greco   +9 more
wiley   +1 more source

The Function of Green Finance Initiative in Maintaining Ocean Health: Novel Findings From an International Database

Environmental Health Insights
This article empirically analyzes the influence of green finance (GF) on ocean health. Employing 10 indicators and a composite Ocean Health Index (OHI) to measure the efficiency and sustainability of ocean economies, the study spans 9 years across 35 ...
Le Thanh Ha
doaj   +1 more source

2D Skeletal Muscle Thin Film Actuators Enhance Efficiency of Biohybrid Robots

Advanced Functional Materials, EarlyView.
2D skeletal muscle thin film actuators generate millinewton‐scale forces and millimeter‐scale strokes while remaining functional for over 30 days. Their force density is 20‐fold higher than 3D skeletal muscle actuators, enabling multi‐fin robots with tunable speed and multidirectional steering.
Maheera Bawa, Arielle Berman, Laura Schwendeman, Ferdows Afghah, Seanbiron Johnson, Ritu Raman   +5 more
wiley   +1 more source

Benchmarking least squares support vector machine classifiers. [PDF]

In Support Vector Machines (SVMs), the solution of the classification problem is characterized by a ( convex) quadratic programming (QP) problem. In a modified version of SVMs, called Least Squares SVM classifiers (LS-SVMs), a least squares cost function
Suykens, Johan, Vandewalle, Joos, De Moor, Bart, Van Gestel, Tony, Vanthienen, Jan, Baesens, Bart, Dedene, Guido, Viaene, Stijn   +7 more
core  

Designing Vanadium‐Based Oxide Electrocatalysts for Water Splitting: Experimental and Mechanistic Insights with Machine Learning

Advanced Functional Materials, EarlyView.
This review establishes structure‐property‐mechanism relationships across six modification strategies for V‐based oxide water‐splitting electrocatalysts: lattice engineering, heteroatom doping, interface engineering, carbon‐based hybridization, morphology engineering, and surface reconstruction and pre‐catalyst design, where dissolution is reframed as ...
Youness El Issmaeli, Amina Lahrichi, Hoje Chun, Rafael Gómez‐Bombarelli, Bruno G. Pollet   +4 more
wiley   +1 more source

A note on least squares fitting of signal waveforms [PDF]

Signal waveforms are very fast dampening oscillatory time series composed of exponential functions. The regular least squares fitting techniques are often unstable when used to fit exponential functions to such signal waveforms since such functions are ...
Mishra, SK
core