Results 111 to 120 of about 1,220,144 (303)
Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang +6 more
wiley +1 more source
Liver Steatosis Classification Using High-Frequency Ultrasound
High-frequency B-mode images of 19 fresh human liver samples were obtained to evaluate their usefulness in determining the steatosis grade. The images were acquired by a mechanically controlled single-crystal probe at 25 MHz.
葉文俊;鄭永銘;李丞華;李伯皇;李百祺 +1 more
core
Ultrasound Modulated Droplet Lasers
We demonstrated the ultrasound modulated droplet lasers, in which the laser intensity from whispering gallery mode (WGM) of oil droplets can be reversibly enhanced up to 20-fold when the ultrasound pressure is beyond a certain threshold.
Fan, Xudong +16 more
core +1 more source
Yingxin Sun,1,2,* Jun Zhang,1,* Deng Liu,1 Xin Li,1 Xuemei Chen,1 Anxin Zhang,1 Yanli Guo1 1Department of Ultrasound, The First Affiliated Hospital (Southwest Hospital) of Army Medical University, Chongqing, People’s Republic of China; 2 ...
Sun Y +6 more
doaj
Supporting AI Readiness Through Digital Workflows in Materials Science
Digitalization drives innovation in materials science by connecting data silos and turning heterogeneous processes into reusable research pipelines. Across 13 MaterialDigital projects, digital workflows reveal complementary pathways toward AI‐ready materials research, founded on structured data, persistent artifacts, executable orchestration, and ...
Marian Bruns +67 more
wiley +1 more source
FastNano Liquid: An Automated Platform for Small‐Angle X‐ray Scattering‐Based Materials Discovery
We present FastNano Liquid, an automated small‐ and wide‐angle X‐ray scattering platform for the combined synthesis and characterization of (nano)materials. The platform is coupled to varied reactor workflows for both in situ studies of reaction kinetics and ex situ screening of synthesis conditions to support machine learning‐guided exploration ...
Pierre‐Baptiste Flandrin +16 more
wiley +1 more source
This study proposes a potential device design for joint cartilage replacement. Silica‐polytetrahydrofuran (SiO2‐PolyTHF) hybrids with customizable mechanical properties were developed to mimic the characteristics of a natural meniscus. These were synthesized through a two‐pot sol–gel hybrid process.
Yu‐Chien Lin +12 more
wiley +1 more source
Dongxu Li,1 Shanshan Chang,1 Chongyang Sun,2 Feng Lin,3 Ze Zhang,3 Qi Chen1 1Department of Ultrasound, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, 150001, People’s Republic of China; 2Department of CT, First Affiliated ...
Li D +5 more
doaj
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
The aim of this study was to define new quantitative parameters of dynamic Pelvic Floor Muscle (PFM) function using 2D transperineal (TP) ultrasound imaging combined with image processing methods (IPM).Ultrasound and digital vaginal data were obtained ...
Lovegrove Jones, Ruth Cerian +1 more
core +1 more source

