Results 51 to 60 of about 149 (149)

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

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

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

Laser Additive Manufacturing of Oxide‐Dispersion‐Strengthened Steels: A Simulation‐Based Comparison Between Powder Bed Fusion and Direct Energy Deposition

Advanced Engineering Materials, EarlyView.
Controlling the size and distribution of dispersoids is essential for optimizing the performance of oxide‐dispersion‐strengthened steels. This study focuses on nanoparticle dispersion and agglomeration during laser additive manufacturing of Fe20Cr alloy reinforced with ZrO 2 nanoparticles. Utilizing multiphysics phase‐field simulations and nanoparticle
Somnath Bharech, Yangyiwei Yang, Timileyin David Oyedeji, Prasanth Bondi, Mareen Goßling, Bilal Gökce, Bai‐Xiang Xu   +6 more
wiley   +1 more source

Performance Comparison of Surface Sensitizers for Diode Laser Powder Bed Fusion of Polyamide 12

Advanced Engineering Materials, EarlyView.
Laser‐generated nanoparticles transform standard PA12 powders into high‐performance, dye‐free feedstocks for diode laser 3D printing. Despite identical absorbance at 808 nm, CuS, LaB6, and CB coatings reveal striking differences in fusion and strength—unlocking new design space for recyclable, industrial‐grade polymers.
Michael Willeke, Alexander Sommereyns, Simon Leupold, Arne Lüddecke, Arno Kwade, Nick Hantke, Jan T. Sehrt, Michael Schmidt, Anna R. Ziefuss, Stephan Barcikowski   +9 more
wiley   +1 more source

Poly(1,4‐anthraquinone) as an Organic Electrode Material: Interplay of the Electronic and Structural Properties due to the Unusual Lone‐Pair‐π Conjugation

Advanced Functional Materials, Volume 35, Issue 12, March 18, 2025.
In this study, the unique role of the unusual lone‐pair‐π conjugation mechanism in poly(1,4‐anthraquinone) (P14AQ) is explored as an organic electrode material. Unlike traditional π‐π interactions, P14AQ's conjugation involves lone pairs of oxygen atoms interacting with the π cloud of adjacent units, enabling stable charge transport even with minimal π‐
Xiaotong Zhang, Piotr de Silva
wiley   +1 more source

An algorithm for computing compatibly Frobenius split subvarieties

Journal of Symbolic Computation, 2012
Let $R$ be a ring of prime characteristic $p$, and let $F^e_* R$ denote $R$ viewed as an $R$-module via the $e$th iterated Frobenius map. Given a surjective map $ : F^e_* R \to R$ (for example a Frobenius splitting), we exhibit an algorithm which produces all the $ $-compatible ideals.
Karl Schwede, Mordechai Katzman
openaire   +3 more sources

Designing Metastable P3‐type Layered Negative Electrodes with High Na Vacancy Concentration for High‐Power Sodium‐Ion Batteries

Advanced Functional Materials, EarlyView.
A metastable high‐vacancy concentration layered P3‐type Na0.5Cr0.5Ti0.5O2 negative electrode material has been synthesized from its K analogues P3‐type K0.5Cr0.5Ti0.5O2 using a facile room temperature ion‐exchange method. The P3‐type Na0.5Cr0.5Ti0.5O2 demonstrates a gravimetric capacity of 125 mA h g−1 and high‐rate performance (80% charging in 3 min ...
Alok K. Pandey, Benoît D.L. Campéon, Saad Zafar, Toru Ishigaki, Tsubasa Koyama, Masanobu Nakayama, Naoaki Yabuuchi   +6 more
wiley   +1 more source

Multi‐Pathway Upconversion Emission in Symmetry‐Broken Nanocavities: Broadband Multiresonant Enhancement and Anti‐Correlated Interfacial Sensitivity

Advanced Functional Materials, EarlyView.
Symmetry‐broken plasmonic nanoantenna arrays achieve broadband multiresonant enhancement of second harmonic generation (SHG), third harmonic generation (THG), and upconversion photoluminescence (UCPL), under femtosecond laser excitation across the near‐infrared range (1000–1600 nm).
Elieser Mejia, Yuming Zhao, Meitong Nie, Benjamin Pittelkau, Aditya Garg, Junyeob Song, Wenqi Zhu, Henri Lezec, Amit Agrawal, Wei Zhou   +9 more
wiley   +1 more source

Autonomous Control of Extrusion Bioprinting Using Convolutional Neural Networks

Advanced Functional Materials, EarlyView.
This work presents a novel computer vision system for high‐fidelity monitoring of extrusion‐based bioprinting and a correction system utilizing convolutional neural networks for error mitigation. This system has demonstrated high detection accuracy and extrusion correction abilities that advance the state of the art toward accelerated printing ...
Daniel Kelly, Vasileios Sergis, Laura Ventura i Blanco, Karl Mason, Andrew C. Daly   +4 more
wiley   +1 more source