Results 91 to 100 of about 92,985 (260)

Compensated beam model for efficient and accurate FE elastic simulation of strut-based lattice structures

Materials & Design
Lattice structures have gained interest across various industries due to their remarkable strength-to-weight ratio and tunable mechanical properties.
Raffaele De Biasi, Mohammad Salman Yasin, Matteo Perini, Matteo Benedetti, Filippo Berto   +4 more
doaj   +1 more source

Topology and Material Optimization in Ultra‐Soft Magneto‐Active Structures: Making Advantage of Residual Anisotropies

Advanced Materials, EarlyView.
Residual magnetization induces pronounced mechanical anisotropy in ultra‐soft magnetorheological elastomers, shaping deformation and actuation even without external magnetic fields. This study introduces a computational‐experimental framework integrating magneto‐mechanical coupling into topology optimization for designing soft magnetic actuators with ...
Carlos Perez‐Garcia, Rogelio Ortigosa, Jesús Martínez‐Frutos, Daniel Garcia‐Gonzalez   +3 more
wiley   +1 more source

Sensitivity analysis for any functions of static elastic systems using combination of adjoint variable method and automatic differentiation for topology optimization

Nihon Kikai Gakkai ronbunshu
This study proposes a methodology to generalize and reduce the computational cost of sensitivity analysis for static linear elastic systems in topology optimization.
Shun OGAWA, Kazuo YONEKURA, Katsuyuki SUZUKI   +2 more
doaj   +1 more source

2D MOF with Intrinsic Porosity for Colorimetric Volatile Organic Compounds (VOCs) Detection

Advanced Materials, EarlyView.
An uncommon 2D MOF with intrinsic in‐plane porosity that can be mechanically exfoliated undergoes a distinct and reversible colour change upon exposure to various volatile organic compounds. ABSTRACT In this work, we report an uncommon 2D metal–organic framework (MOF) with intrinsic in‐plane porosity that undergoes a distinct and reversible colour ...
Sergio R. Gamarra, Alberto Fernández‐Alarcón, Joaquín Calbo, Enrique Ortí, Guillermo Mínguez Espallargas   +4 more
wiley   +1 more source

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

Advanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 more
wiley   +1 more source

Hydrogel‐Based Airway‐on‐Tube With Perfusable Endothelial Lumen and Outward Epithelialization

Advanced Materials, EarlyView.
A hydrogel‐based airway‐on‐tube platform featuring a perfusable endothelial lumen and outward epithelialization is presented. The system supports primary human bronchial epithelial and lung microvascular endothelial coculture under air‐liquid interface conditions.
Ali Doryab, Jack F. Murphy, Michael Bartolf‐Kopp, Jenny C‐C Hsin, Alice Chernaik, Frank McCaughan, Yan Yan Shery Huang, Tomasz Jungst, Jürgen Groll   +8 more
wiley   +1 more source

Power flow calculation method for distribution network based on Bayesian optimized graph attention networks

电力工程技术
A Bayesian optimized graph attention network (BO-GAT) based power flow calculation method is proposed for distribution networks. This method addresses the low computational speed and reliance on complete line parameters of conventional power flow methods.
Huaizhao JI, Yunhai ZHOU, Chang ZHAO, Xin LI, Yanlin LUO, Yong ZHOU   +5 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Phase Engineering of Atomically Precise Nanoclusters (APNCs) of Gold and Beyond

Advanced Materials, EarlyView.
Engineering the structural phase of materials is of paramount importance for both fundamental research and practical applications. In this Review, we summarize the recent progress in controlling the phases of atomically precise nanoclusters (APNCs) of gold, silver and copper, as well as bimetallic systems. The phase‐enabled material properties of APNCs
Yitong Wang, Avirup Sardar, Weijie Ji, Zhongyu Liu, Rongchao Jin   +4 more
wiley   +1 more source

TOP2DFVT: An Efficient Matlab Implementation for Topology Optimization based on the Finite-Volume Theory [version 2; peer review: 1 approved, 2 approved with reservations]

F1000Research
The finite-volume theory has shown to be numerically efficient and stable for topology optimization of continuum elastic structures. The significant features of this numerical technique are the local satisfaction of equilibrium equations and the ...
Marcio Cavalcante, Eduardo Lages, Romildo Escarpini Filho, Arnaldo Santos Júnior, Marcelo Araujo   +4 more
doaj   +1 more source