Results 61 to 70 of about 7,354,839 (315)

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

Research progress on fungal corrosion of metals and their protective layers in atmospheric environments

工程科学学报, 2017
Microorganisms and their characteristic metabolisms seriously affect the service performance and service life of materials. To date, most studies have concentrated on the bacterial corrosion of materials and comparatively few have focused on the ...
LIU Qian-qian, LU Lin, GAO Ge, LI Xiao-gang   +3 more
doaj   +1 more source

The Role of Ultra‐Thin Passive Films and Organic Adsorbates on Aluminum Chips for a Friction‐Induced Solid‐State Recycling Process

Advanced Engineering Materials, EarlyView.
Despite benefits to storage stability and handleability of aluminum scrap, octadecyl phosphonic acid (ODPA) SAMs reduce the tensile strength of wires produced using friction‐induced recycling. Etching and methyl diphosphonic acid (MDPA) coatings, however, have little effect.
Timothy D. Goller, Steffen Gabsa, Werner Homberg, Guido Grundmeier   +3 more
wiley   +1 more source

Rotary 3D Printing With Integrated Electroplating

Advanced Engineering Materials, EarlyView.
A rotary material extrusion platform integrates localized copper electroplating with printing and encapsulation to fabricate cylindrical polymer–metal structures containing fully embedded, low‐resistance conductive pathways that enable internal Joule heating and thermally activated shape‐memory responses.
Antonio Zagaria, Nicola Larovere, Moslem Mohammadi, Gianluca Percoco, Ali Zolfagharian, Gianni Stano   +5 more
wiley   +1 more source

Microstructure evolution and electrochemical behavior of β-MnO2 under high-energy ball milling

Cailiao gongcheng
To investigation the effect of the microstructure and electrochemical behavior of the β-MnO2 samples under high-energy ball milling. The crystal structure， particle morphology， size， and atomic arrangement of the sample are measured and analyzed by XRD ...
XIN Shenghai, YANG Liying, JIN Duolong, SU Dandan, PANG Bin   +4 more
doaj   +1 more source

Green Chemistry Approach to Co₃O₄ Synthesis: A Suitable Candidate for Optoelectronics and Energy Storage Devices [PDF]

Iranian Journal of Chemistry & Chemical Engineering
Among spinel-type oxides, Co3O4 is noteworthy in energy storage, particularly in solar cells, because of its ability to absorb sunlight across the visible spectrum.
Fariba Kaedi, Ali Reza Modarresi-Alam, Zahra Yavari, Meissam Noroozifar   +3 more
doaj   +1 more source

Glucose‐based carbon electrode for trace‐level detection of acetaminophen

Electrochemical Science Advances, 2022
A highly sensitive electrochemical method for trace‐level detection of acetaminophen (AMP) was employed using glucose‐based carbon electrode (Gu/CPE) by cyclic voltammetry (CV) and differential pulse voltammetry (DPV).
Vinoda B. Patil, Rakesh R. Sawkar, Davalasab Ilager, Nagaraj P. Shetti, Suresh M. Tuwar, Tejraj M. Aminabhavi   +5 more
doaj   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

Advanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin, Marta Campolucci, Nicolas de Andrade Ishiki, Nathan Mirgot, Nadir Zhamantay, Frédéric Kanoufi, Jennifer Peron, Jean Charlety, Emiliano Fonda, Valérie Briois, Marco Faustini, Maria‐Letizia De Marco, Christine Goyhenex, Ovidiu Ersen, Hervé Bulou   +14 more
wiley   +1 more source

Electrochemical Behavior of Zirconium in an in-situ Preparing LiCl−KCl−ZrCl4 Molten Slat

International Journal of Electrochemical Science, 2015
The electrochemical behavior of zirconium was investigated in an in-situ preparing LiCl−KCl−ZrCl4 molten slat at 773 K by cyclic voltammetry, chronopotentiometry, and open circuit chronopotentiometry.
Yanqing Cai, Hongxia Liu, Qian Xu, Qiushi Song, Huijun Liu, Liang Xu   +5 more
doaj   +1 more source

Detecting Anomalous Cell Behavior in Electrochemical Battery Testing Using Machine Learning

Advanced Engineering Materials, EarlyView.
Machine‐learning‐based screening enables automated identification of anomalous battery cells from complementary electrochemical tests. A curated battery database supports configuration‐aware comparison of rate‐capability and impedance data. Supervised classification of rate‐test data achieves 90% accuracy, while CNN‐VAE‐based impedance analysis reaches
Minu Rose, Sanxchep Sharma, Veit Königer, Vincent Nebel, Jonas Oehm, Christian Weisenberger, Laura Bies, Volker Knoblauch   +7 more
wiley   +1 more source