Results 91 to 100 of about 11,291,612 (299)

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

Materials‐Driven Additive Manufacturing for Electrical Machines: Qualification‐Oriented Design Beyond Geometric Freedom

Advanced Engineering Materials, EarlyView.
This perspective reframes additive manufacturing for electrical machines as a qualification‐limited materials and architecture design problem. It links process–structure–property–performance relationships to magnetic, conducting, dielectric, and thermal property windows, highlighting where AM can enable segmented magnetic circuits, permanent magnet ...
Dénes Fodor, Loránd Szabó
wiley   +1 more source

Earnings management in bank industry

Economia Aziendale Online, 2014
Performing univariate and multivariate analysis on the population of listed banks in Italy, this paper tests the following hypotheses: 1) whether Earnings (EM) and capital (MCAP) management are performed via Loan Loss Provision - LLP (2002-2011 period); 2) whether the association ofLLP with earnings and capital management is significantly changed ...
Azzali Stefano, Fornaciari Luca, Mazza Tatiana   +2 more
openaire   +2 more sources

Knowledge Management for Industrial Heritage [PDF]

, 2008
All along history, humans have always invented, created to improve their standard of liv-ing. Many machines have been built, sometimes simple and others very complex. In order to achieve the best results for customers, machines, industrial plants and humans are moved, displaced and replaced.
Laroche, Florent, Bernard, Alain, Cotte, Michel   +2 more
openaire   +2 more sources

Analysis of industrial symbiosis platforms circular economy development [PDF]

, 2019
International Conference on Industrial Engineering and Industrial Management (13th.
Barrenechea, Pablo, Ormazábal, Marta, Rincón, John, Jaca, Carmen   +3 more
core  

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

Minimizing production defect probability in industrial manufacturing using machine learning and bayesian optimization [PDF]

Journal of Applied Research on Industrial Engineering
Reducing defects in manufacturing presents a critical issue in achieving cost-effective, high-quality production. Though Machine Learning (ML) and Bayesian Optimization (BO) have been independently tested against defect prediction and process ...
Arman Rezasoltani, Mohammad Mehregan, Mahsa Mahmoudi, Amir Khani   +3 more
doaj   +1 more source

FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery

Advanced Engineering Materials, EarlyView.
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin, Émeline Cournède, Jens Krarup, Michael Lesa, Foyzul Hasan, Amandine Séné, Arnaud Lahouati, David Benhaiem, Jérémie‐Luc Sanchez, Simon Delacroix, Thierry Gacoin, Fabienne Testard, Damien Faivre, David Carriere, Corinne Chevallard, Olivier Taché, Mark A. Levenstein   +16 more
wiley   +1 more source

Study of hydrodynamic behaviour of large bearings depending on the viscosity of the lubricant

MATEC Web of Conferences, 2017
The research refers to study of hydrodynamic behavior of large bearings equipped with automatic lubrication system, where the liquid used may have a viscosity with variable values depending on the temperature or depending on the additive used.
Barabas Sorin, Florescu Adriana, Sarbu Flavius   +2 more
doaj   +1 more source

Smart city application and analysis : real-time urban drainage monitoring by IoT sensors : a case study of Hong Kong

, 2021
2018 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2018, 16-19 Dec.
Yeung, CK, Lee, CKM, Keung, KL, Ng, KKH
core   +1 more source