Results 51 to 60 of about 285,032 (300)

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

Design and Optimization of a Sustainable Off-Grid Renewable Rich Islanded Microgrid for Coastal Regions in Bangladesh

International Transactions on Electrical Energy Systems
Reliable electricity access is crucial for sustainable development, yet Bangladesh’s coastal regions face challenges due to an unreliable grid. The off-grid hybrid system based on renewable energy is recommended in the existing research for Bhasan Char ...
Md. Feroz Ali, Jaydeb Sharmma, Diponkar Kundu, Sk. A. Shezan, Syed Ibn Syam Sifat, Ashraf Hossain Sanvi, Md. Alamgir Hossain, Diganto Biswas   +7 more
doaj   +1 more source

First International Conference on Electrical, Electronic and Communications Engineering

, 2017
The book reports on advanced theories and methods in two related engineering fields: electrical and electronic engineering, and communications engineering and computing.
Fleming, Peter, Vyas, Nalinaksh, Sanei, Saeid, Deb, Kalyanmoy   +3 more
core   +1 more source

Gallium Microalloying in Bi–Sn Solders: Interfacial Phase Formation, Wettability, and Long‐Term Shear Reliability Under Isothermal Aging

Advanced Engineering Materials, EarlyView.
Gallium microalloying redirects interfacial reactions in low‐temperature Bi–Sn solders from Cu–Sn toward Cu–Ga intermetallic formation. The resulting Cu–Ga layer suppresses intermetallic growth during thermal aging, alters fracture pathways, and improves interfacial stability.
Iva Králová, Markéta Klimtová, Mohd Faizul Mohd Sabri, Yew Hoong Wong, Petr Veselý, Martin Plaček, Karel Dušek   +6 more
wiley   +1 more source

A Comprehensive Analysis of a High-Efficiency Lead-Free Copper–Indium–Gallium–Selenide–Based Thin Film Solar Cell Using SCAPS 1D Software

International Journal of Photoenergy
In this research, we present an environmentally friendly and high-efficiency thin-film solar cell using Cu(In,Ga)Se2 (CIGS) that was modeled using SCAPS-1D software.
Tanvi Siddiqui, Sunirmal Kumar Biswas, Md. Zahidur Rahman, Hossain Mohammad Maruf Rahman Shuvo, Md. Mostak Ahmed, Palash Chandra Karmaker   +5 more
doaj   +1 more source

The evaluation of quality of transformer oil by measuring capacitance [PDF]

, 2011
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2011.Cataloged from PDF version of thesis report.Includes bibliographical references (page 25 ...
Rakib, Md. Enamul Haque, Ahmed, Mukul
core  

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

Band Alignment Engineering of Cu-Based Hole Transport Layers for High-Efficiency CZTS Thin-Film Solar Cells: A SCAPS-1D Simulation Analysis

International Journal of Photoenergy
The practical efficiency of Cu2ZnSnS4 (CZTS) thin-film solar cells remains constrained by unfavorable band alignment, high defect densities, and inefficient charge extraction at interfaces.
Md. Mizanur Rahman, Arpita Paul, Aaditya Human, Md. Feroz Ali, Mst. Aysha Siddika, Mahin Anjum, Md Shafiul Alam, Mohammad Ali   +7 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

Machine learning-enhanced multi-band metamaterial sensor for early detection of neurological disorders

Scientific Reports
This study presents a square enclosed double octagonal shaped metamaterial absorber for the detection of initial neurological conditions. The size is very compact ( $$0.54 \lambda _0 \times 0.54 \lambda _0 \times 0.05 \lambda _0$$ ) and achieves an ...
Asad Miah, Sams Al Zafir, Joyonta Das, Jonayed Al-Faruk, Md. Hasnain, Shadi Ihtiaj Zim, S. M. Anowarul Haque, Abdul Wahed   +7 more
doaj   +1 more source