Results 41 to 50 of about 804 (252)

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source

Influence of Test Temperature and Test Frequency on Fatigue Life of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
The influence of test temperature and test frequency on the fatigue life of EN AW‐2618A is investigated. High‐cycle fatigue tests are performed at different test temperatures and frequencies on the 1000 h/230°C overaged state. Both test parameters reduce fatigue life due to time‐dependent damage mechanisms.
Ying Han, Julian M. Rosalie, Jan Radners, Mauro Madia, Philipp von Hartrott, Birgit Skrotzki   +5 more
wiley   +1 more source

Speckle‐Engineered Upconversion Amplification in Nanoemulsion‐Templated Hydrogel Microdomes

Advanced Functional Materials, EarlyView.
Nanoemulsion‐confined PEGDA microdomes generate speckle‐like excitation fields that strongly amplify upconversion luminescence upon dehydration, enabling filter‐free visible readout with reversible on–off switching. DMD‐based lithography yields scalable, shape‐programmable arrays for moisture‐responsive displays and optical encryption.
Chaeyeong Ryu, Byungcheon Yoo, Seunghun Lee, Hyungyo Jeong, Sanggyun Jeong, Heesu Cho, Jongwon Oh, Dahye Baek, Jongkyu Kim, Yubin Lee, Eunsu Gu, Dong‐Hwan Kim, Jung‐Hoon Park, Jiseok Lee   +13 more
wiley   +1 more source

Self-Information Forgery Mining for Face Forgery Detection

Applied Mathematics and Nonlinear Sciences
Abstract In the face of rapid advances in face forgery technology, effective detection methods have become crucial to maintain the authenticity of digital media. Deep learning technology has provided new strategies for recognizing and preventing face forgery in recent years.
Xiaozhuo Wang, Jianyu Wei
openaire   +1 more source

High‐Index, Low‐Loss Optical Material Platforms for Ultra‐Broadband Ultraviolet‐to‐Visible Achromatic Metalenses

Advanced Functional Materials, EarlyView.
An integrated material platform combining engineered SiNx thin films and printable ZrO2 nanoparticle‐embedded resin enables broadband achromatic metalenses from the ultraviolet to visible range. The demonstrated meta‐optics achieve near‐diffraction‐limited focusing with minimal chromatic aberration.
Hyunjung Kang, Dongmin Jeon, Eunji Lee, Junsuk Rho   +3 more
wiley   +1 more source

Revisiting Face Forgery Detection: From Facial Representation to Forgery Detection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Forgery Detection (FFD), or Deepfake detection, aims to determine whether a digital face is real or fake. Due to different face synthesis algorithms with diverse forgery patterns, FFD models often overfit specific patterns in training datasets, resulting in poor generalization to other unseen forgeries.
Guo, Zonghui, Liu, Yingjie, Zhang, Jie, Zheng, Haiyong, Shan, Shiguang   +4 more
openaire   +2 more sources

Swelling‐Induced Stress‐Assisted Transfer of Nanodiamond Arrays With a PVA Carrier Tape for Conformal Bio‐Integrated Sensing and Labelling

Advanced Functional Materials, EarlyView.
This work introduces a swelling‐induced, stress‐assisted water‐soluble PVA tape strategy to transfer‐print nanodiamond quantum‐sensor arrays onto soft, curved biological interfaces. The room‐temperature, water‐triggered process achieves >98% fidelity and residue‐free integration, enabling conformal quantum sensing on contact lenses, neural probes, and ...
Luyao Zhang, Lingzhi Wang, Xinhao Hu, Tai Nam Yip, Mingze Sun, Jixiang Jing, Lizhi Xu, Yuan Lin, Yong Hou, Zhiqin Chu   +9 more
wiley   +1 more source

Generalized Spoof Detection and Incremental Algorithm Recognition for Voice Spoofing

Applied Sciences, 2023
Highly deceptive deepfake technologies have caused much controversy, e.g., artificial intelligence-based software can automatically generate nude photos and deepfake images of anyone. This brings considerable threats to both individuals and society.
Jinlin Guo, Yancheng Zhao, Haoran Wang
doaj   +1 more source

Towards General Visual-Linguistic Face Forgery Detection

CoRR, 2023
Deepfakes are realistic face manipulations that can pose serious threats to security, privacy, and trust. Existing methods mostly treat this task as binary classification, which uses digital labels or mask signals to train the detection model. We argue that such supervisions lack semantic information and interpretability.
Sun, Ke, Chen, Shen, Yao, Taiping, Yang, Haozhe, Sun, Xiaoshuai, Ding, Shouhong, Ji, Rongrong   +6 more
openaire   +2 more sources

Janus Photonic Graphics by Stratified Assembly of Two Distinct Colloids

Advanced Functional Materials, EarlyView.
Double‐sided Janus photonic micropatterns with vivid structural colors are fabricated through a single‐step bottom‐up strategy. Density‐driven stratification and depletion‐mediated crystallization of PMMA and PS binary colloids lead to exclusive lattices on opposite surfaces under centrifugal force.
Young Geon Kim, Yongseok Jung, Sehee Yang, Jiwoo Lee, Shin‐Hyun Kim   +4 more
wiley   +1 more source