Results 181 to 190 of about 4,687,940 (367)

Exceptional Thermal Conductivity in Printed Dielectrics through Compositional and Microstructural Design

Advanced Materials, EarlyView.
A multi‐generational compositional design creates a printable low‐loss dielectric composite that achieves over 16 W m−1 K−1. This breakthrough is enabled by thermal post‐processing, which promotes templated crystallization in a polymer matrix from surface‐modified particles, creating a “hetero‐percolated network.” The resulting material is three ...
Daniel J. Braconnier, Evan Z. Toth, José A. Martinez, In‐Chul Yeh, Ryan M. Dunn, Eric D. Wetzel, Randall M. Erb   +6 more
wiley   +1 more source

Representation of Topology Using Homology Groups and Its Application to Structural Optimization. Fitness Value Based upon Topology for Unanalyzable Structures Generated in Genetic Algorithm and Its Effect on Performance of Optimization.

, 2000
Yasuhiko NAKANISHI
openalex   +2 more sources

Glaphene: A Hybridization of 2D Silica Glass and Graphene

Advanced Materials, EarlyView.
‘Glaphene’, a novel hybrid material combining 2D silica glass and graphene, is synthesized via a scalable liquid precursor‐based vapor‐phase growth. This study reveals interlayer hybridization beyond van der Waals interactions, leading to emergent semiconducting behavior.
Sathvik Ajay Iyengar, Manoj Tripathi, Anchal Srivastava, Abhijit Biswas, Tia Gray, Mauricio Terrones, Alan B. Dalton, Marcos A. Pimenta, Robert Vajtai, Vincent Meunier, Pulickel M. Ajayan   +10 more
wiley   +1 more source

A Simple Method for Topology Optimization Using Anisotropic Material Properties

, 2000
Zhiqiang Wu, Takaki Maeda, Nobuyuki Kojima, Yuji SOGABE   +3 more
openalex   +2 more sources

Characterization and Inverse Design of Stochastic Mechanical Metamaterials Using Neural Operators

Advanced Materials, EarlyView.
This study presents a DeepONet‐based machine learning framework for designing stochastic mechanical metamaterials with tailored nonlinear mechanical properties. By leveraging sparse but high‐quality experimental data from in situ micro‐mechanical tests, high predictive accuracy and enable efficient inverse design are achieved.
Hanxun Jin, Boyu Zhang, Qianying Cao, Enrui Zhang, Aniruddha Bora, Sridhar Krishnaswamy, George Em Karniadakis, Horacio D. Espinosa   +7 more
wiley   +1 more source

Visualization analysis of research hotspots on structural topology optimization based on CiteSpace. [PDF]

Sci Rep, 2023
Zhong Y, Jiang XT, Yang Y, Xu BL, Zhu QX, Wang L, Dong XF.   +6 more
europepmc   +1 more source

Topology Optimization for Wireless Ad-Hoc Community Network (WACNet)

, 2000
Makoto Kawai, Koichi Gyoda, Masanori Nozaki   +2 more
openalex   +2 more sources

Topology optimization of periodic microstructures with a penalization of highly localized buckling modes [PDF]

, 2002
Miguel M. Neves, Ole Sigmund, Martin P. Bendsøe   +2 more
openalex   +1 more source

Design of compliant mechanisms using continuum topology optimization: A review

, 2020
Benliang Zhu, Xianmin Zhang, Hongchuan Zhang, Junwen Liang, Haoyan Zang, Hai Li, Rixin Wang   +6 more
semanticscholar   +1 more source

Ancestral Protein‐Based Lighting

Advanced Materials, EarlyView.
The ancestral sequence reconstruction (ASR) method applied to a large dataset of modern fluorescent proteins (FPs) led to a bright ancestral‐like FP suitable for photon down‐conversion in bio‐hybrid light‐emitting diodes (Bio‐HLEDs). Abstract Protein‐optoelectronics is a paradigm toward eco‐designed and sustainable technologies.
Stephanie Willeit, Alexander Mauz, David Gutiérrez‐Armayor, Joseph Arbash, Jesús Agustín Banda‐Vázquez, Sergio Martí, Pedro B. Coto, Rubén D. Costa   +7 more
wiley   +1 more source