Results 81 to 90 of about 3,805,294 (248)

Creating Ti–Fe α/β Alloys by Diffusion‐Driven Solid‐State Processing

Advanced Engineering Materials, EarlyView.
This study proposes making alloys containing fast diffusing elements that are difficult to produce by ingot metallurgy, by diffusion‐driven solid‐state HIP processing of elemental powders and low‐temperature homogenisation. Here, novel Fe‐Ti α–β alloys are formed having fine α–β lamellae, a small β prior grain size without significant intermetallics ...
Jiaqi Xu, Xun Zhang, Jack M. Donoghue, Albert D. Smith, Rahul Unnikrishnan, Rhys Thomas, Vahid Nekouie, Jie Luo, Dongchen Hu, Michael Preuss, Philip J. Withers   +10 more
wiley   +1 more source

Analytical treatments of micro-channel and micro-capillary flows

, 2011
This paper was presented at the 3rd Micro and Nano Flows Conference (MNF2011), which was held at the Makedonia Palace Hotel, Thessaloniki in Greece.
Sambasivam, R, Adachi, T, Filimonov, D, Durst, F, 3rd Micro and Nano Flows Conference (MNF2011)   +4 more
core  

Incorporation of Selenium into Sol–Gel‐Derived Bioactive Glass: Influence on Glass Structure, Bioactivity, and its Selective Cytotoxicity

Advanced Engineering Materials, EarlyView.
Selenium was incorporated into a sol–gel‐derived bioactive glass to enable sustained therapeutic ion release. The selenium‐containing glass preserved bioactivity while selectively inducing cytotoxicity in osteosarcoma cells and maintaining osteoblastic viability.
Breno Rocha Barrioni, Thalita Marcolan Valverde, Talita Martins, Guilherme Mattos Jardim Costa, Alfredo Miranda de Goes, Marcello Rosa Dumont, Eduardo Henrique Martins Nunes, Marivalda de Magalhães Pereira   +7 more
wiley   +1 more source

Counterfactual discriminative micro-expression recognition

Visual Intelligence
Micro-expressions are spontaneous, rapid and subtle facial movements that can hardly be suppressed or fabricated. Micro-expression recognition (MER) is one of the most challenging topics in affective computing.
Yong Li, Menglin Liu, Lingjie Lao, Yuanzhi Wang, Zhen Cui   +4 more
doaj   +1 more source

PRNet: A Priori Embedded Network for Real-World Blind Micro-Expression Recognition

Mathematics
Micro-expressions, fleeting and often unnoticed facial cues, hold the key to uncovering concealed emotions, offering significant implications for understanding emotions, cognition, and psychological processes.
Xin Liu, Fugang Wang, Hui Zeng, Yile Chen, Liang Zheng, Junming Chen   +5 more
doaj   +1 more source

Micro Materials, Micro Mat 1995. Abstracts

, 2022
The 1st conference Micro Materials was held Nov. 28-29, 1995 in Berlin. 112 papers were presented. The conference was organized by the Deutscher Verband für Materialforschung und -prüfung -DVM- and the Fraunhofer Insitute IZM Berlin. The 220 participants

core  

Selective deep features for micro-expression recognition [PDF]

, 2017
Micro-expression recognition is a challenging task in computer vision field due to the repressed facial appearance and short duration. Previous work for micro-expression recognition have used hand-crafted features like LBP-TOP, Gabor filter and optical ...
Zhao, Guoying, Patel, Devangini, Hong, Xiaopeng   +2 more
core   +1 more source

Additive Manufacturing of Continuous Fibre Reinforced Composites: Process, Characterisation, Modelling, and Sustainability

Advanced Engineering Materials, EarlyView.
Additive manufacturing provides precise control over the placement of continuous fibres within polymer matrices, enabling customised mechanical performance in composite components. This article explores processing strategies, mechanical testing, and modelling approaches for additive manufactured continuous fibre‐reinforced composites.
Cherian Thomas, Amir Hosein Sakhaei
wiley   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source