Results 141 to 150 of about 339,065 (284)

Advancing Digital Transformation in Material Science: The Role of Workflows Within the MaterialDigital Initiative

Advanced Engineering Materials, EarlyView.
The MaterialDigital initiative drives the digital transformation of material science by promoting findable, accessible, interoperable, and reusable principles and enhancing data interoperability. This article explores the role of scientific workflows, highlights challenges in their adoption, and introduces the Workflow Store as a key tool for sharing ...
Simon Bekemeier, Celso Ricardo Caldeira Rêgo, Han Lin Mai, Ujjal Saikia, Osamu Waseda, Markus Apel, Felix Arendt, Alexander Aschemann, Bernd Bayerlein, Robert Courant, Gordian Dziwis, Florian Fuchs, Ulrich Giese, Kurt Junghanns, Mohamed Kamal, Lukas Koschmieder, Sebastian Leineweber, Marc Luger, Marco Lukas, Jürgen Maas, Jana Mertens, Björn Mieller, Ludger Overmeyer, Norbert Pirch, Jan Reimann, Sebastian Schröck, Philipp Schulze, Jörg Schuster, Alexander Seidel, Oleg Shchyglo, Marek Sierka, Frank Silze, Simon Stier, Marvin Tegeler, Jörg F. Unger, Matthias Weber, Tilmann Hickel, Jörg Schaarschmidt   +37 more
wiley   +1 more source

Consolidate Overview of Ribonucleic Acid Molecular Dynamics: From Molecular Movements to Material Innovations

Advanced Engineering Materials, EarlyView.
Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley   +1 more source

Geometry‐Assisted Phase Selection: Interplay of Phase Heterogeneity and Geometry in Gyroid Shell Metamaterials Printed with 17‐4 PH Stainless Steel

Advanced Engineering Materials, EarlyView.
This study explores geometry‐driven phase evolution in gyroid shell metamaterials made via laser powder bed fusion of 17‐4 precipitation hardened stainless steel. Locally hardened regions develop along the primary loading paths in the structure, which finite element analysis and geometric considerations link to enhanced gyroid strength.
Julia T. Pürstl, Brandon Fields, Patrick Ziemke, Nicolò M. della Ventura, Kate M. Ainger, Diran Apelian, Daniel S. Gianola, Matthew R. Begley, Lorenzo Valdevit   +8 more
wiley   +1 more source

Spray Deposition for Solvent Annealing of Hybrid Poly(3,4‐Ethylenedioxythiophene) Polystyrene Sulfonate Cellulose Silver Nanowire Composite Electrodes Using a Roll‐to‐Roll Coater

Advanced Engineering Materials, EarlyView.
The fabrication and post‐treatment via solvent annealing of poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate‐based electrodes using spray deposition in a roll‐to‐roll setup are presented. The decrease in sheet resistance and its correlation with nanostructure and molecular structure in the electrodes as a function of the processing parameters is ...
Marie Betker, Benedikt Sochor, Elisabeth Erbes, Alisher Kurmanbay, Tim Erichlandwehr, Yanan Li, Peter Müller‐Buschbaum, Irene Fernandez‐Cuesta, Simone A. Techert, L. Daniel Söderberg, Stephan V. Roth   +10 more
wiley   +1 more source

Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys

Advanced Engineering Materials, EarlyView.
This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco, Kehang Yu, Xin Wang, Crystal Murillo, Carlos Melchor, Calvin H. Belcher, Julie M. Schoenung, Enrique J. Lavernia, Stacy M. Copp   +8 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Dynamic RSVP in Modern Networks for Advanced Resource Control with P4 Data Plane. [PDF]

Sensors (Basel)
Pan PA, Chin WL, Huang YC, Huang YX, Yu CH.   +4 more
europepmc   +1 more source

On the Rigidity and Mechanical Behavior of Triply Periodic Minimal Surfaces‐Based Lattices: Insights from Extensive Experiments and Simulations

Advanced Engineering Materials, EarlyView.
This study examines the mechanical properties of triply periodic minimal surfaces (TPMS)‐based lattices, analyzing 36 architectures in elastic and plastic regimes. It evaluates the applicability of beam‐based scaling laws to TPMS lattices. Rigidity arises from the alignment of members with the load direction and solid regions preventing rotation.
Lucía Doyle, Humberto Terrones, Carlos González   +2 more
wiley   +1 more source

Energy aware stable path ad hoc on-demand distance vector algorithm for extending network lifetime of mobile ad hoc networks. [PDF]

PLoS One
Legesse T, Girmaw DW, Yitayal E, Admassu E.   +3 more
europepmc   +1 more source

Hybrid Framework Materials: Next‐Generation Engineering Materials

Advanced Engineering Materials, EarlyView.
Hybrid organic–inorganic materials merge the unique properties of organic and inorganic compounds, enabling applications in optoelectronics, gas storage, and catalysis. This review explores metal‐organic frameworks, hybrid organic–inorganic perovskites, and the emerging field of hybrid glasses, emphasizing their structures, functionalities, and ...
Jay McCarron, Bethan Turner, Lauren N. McHugh   +2 more
wiley   +1 more source