Results 221 to 230 of about 61,093 (305)

Ultrafast Optoacoustics Reveals Intricate 3D Anisotropic Elasticity in Nanocrystalline Membranes

Advanced Science, EarlyView.
Ultrafast optoacoustic spectroscopy combined with a Sagnac interferometer enables non‐contact, simultaneous characterization of thickness and the full three‐dimensional anisotropic elastic constants in freestanding nanocrystalline copper membranes. By capturing gigahertz Lamb waves and zero‐group‐velocity resonances followed by SAFE‐GA inversion, the ...
Shuchang Zhang, Yi He, Guojie Luo, Jie Huang, Pak San Yip, Haoyu Cui, Wanglinhan Zhang, Zijian Wang, Lin Ye, Yang Lu, Zhongqing Su, Yehai Li   +11 more
wiley   +1 more source

A note on the dynamics of extended-context disordered kinetic spin models. [PDF]

J Phys A Math Theor
Zavatone-Veth JA, Pehlevan C.
europepmc   +1 more source

Optimized Antimony‐Doped Tin Oxide Thin Films With Enhanced Electrical Properties for Low‐Emissivity Architectural Coatings

Advanced Science, EarlyView.
Antimony‐doped tin oxide (ATO) thin films were deposited by aerosol‐assisted chemical vapor deposition (AACVD) and systematically investigated to establish correlations between Sb doping level, structural properties and optoelectronic performance. Optimized films exhibited low sheet resistance, high carrier concentrations, and high visible transparency
Iqra Ramzan, Ivan P. Parkin, Claire J. Carmalt   +2 more
wiley   +1 more source

A Bidirectional Design Method for Through-Glass Vias with Selective Laser Wet Etching Based on the Cross-Modal Learning Method. [PDF]

Micromachines (Basel)
Meng Y, Wu L, Yuan B, Zhou X, Li Y, Zhang Z, Shi Y.   +6 more
europepmc   +1 more source

A Closed‐Loop Framework for Inverse Design: Dynamic Training and Intelligent Optimization for Heterostructured Materials

Advanced Science, EarlyView.
To accelerate the inverse design of heterostructured metal matrix composites, a closed‐loop scientific machine learning framework integrates continual learning prediction with NSGA‐II‐PMCP optimization. The framework maps microstructural descriptors to strength, toughness, and modulus, expands high‐quality Pareto solutions, and guides experimentally ...
Zhiyan Zhong, Xueru Zheng, Xiao Zhou, Zhengheng Tao, Wan Han, Jingyi Pan, Dian Wu, Ning Gao, Lei Liu, Zhongyang Wang, Fanchao Meng, Tongxiang Fan   +11 more
wiley   +1 more source

A beam model and Boltzmann solver for radiotherapy treatment planning of superficial brain metastases using a scanned electron beam at ultra-high (FLASH) dose rate. [PDF]

Phys Med Biol
Bedford J, Gross M, Riemer F, Amirkhanyan Z, Stephan F, Oelfke U.   +5 more
europepmc   +1 more source

Automation and Active Learning for the Multi‐Objective Optimization of Antibody Formulations

Advanced Science, EarlyView.
Successful antibody formulation necessitates balancing factors such as thermal stability, colloidal stability, and viscosity across a vast excipient design space. This work integrates robotic liquid handling, high‐throughput biophysical characterization, and multi‐objective Bayesian optimization in an iterative closed‐loop Design‐Build‐Test‐Learn cycle.
D. Christopher Radford, Matthew Tamasi, Elena Di Mare, Adam J. Gormley   +3 more
wiley   +1 more source

Supervised and Unsupervised AI-Driven Structural Health Monitoring Framework for Additively Manufactured Metal Components. [PDF]

Sensors (Basel)
Byfield R, Shabaka A, Tansel I.
europepmc   +1 more source

Gap‐Free Information Transfer in 4D‐STEM via Fusion of Complementary Scattering Channels

Advanced Science, EarlyView.
Fused Full‐Field STEM (FF‐STEM) is introduced as a 4D‐STEM imaging modality that combines direct ptychography with tilt‐corrected dark‐field reconstruction in a single acquisition. Fourier‐space fusion using Wiener‐type spectral weighting closes the low‐frequency contrast gap inherent to bright‐field methods, delivering gap‐free, dose‐efficient, near ...
Shengbo You, Georgios Varnavides, Sagar Khavnekar, Nikita Palatkin, Sihan Shao, Mingjian Wu, Daniel Stroppa, Darya Chernikova, Baixu Zhu, Ricardo Egoavil, Stefano Vespucci, Dileep Krishnan, Xingchen Ye, Florian K. M. Schur, Erdmann Spiecker, Philipp Pelz   +15 more
wiley   +1 more source

Machine Learning-Based Prediction of Textural Properties and Nonlinear Regulatory Pattern Analysis of 3D-Printed Dough Containing Konjac Glucomannan. [PDF]

Foods
Leng W, Sun Y, Xie J, Pang J.
europepmc   +1 more source