Results 271 to 280 of about 188,264 (321)
Laser ablation in liquid enables nanoparticle synthesis from diverse materials but remains less energy‐efficient than ablation in air. This study quantifies the absorption‐corrected ablation efficiency and experimentally confirms redeposition as the key loss mechanism using pump‐probe microscopy.
Maximilian Spellauge +9 more
wiley +1 more source
Dispersion‐Less Dissipative Soliton Fiber Laser
A dispersion‐less fiber laser architecture generates high‐energy, pedestal‐free picosecond pulses without resorting to conventional pulse stretching. This energy‐managed laser achieves remarkable flexibility in pulse parameters, delivering up to 0.54 μJ$\mathrm{\mu}\mathrm{J}$ pulses with minimal spectral distortion using standard telecom components ...
Mostafa I. Mohamed +2 more
wiley +1 more source
This review examines how optical coherence tomography transforms industrial inspection by delivering real‐time, micrometer‐resolution, depth‐resolved imaging. It surveys applications across display manufacturing, thin films, microelectronics, laser processing, and coatings, evaluates performance against conventional techniques, and highlights emerging ...
Nipun Shantha Kahatapitiya +7 more
wiley +1 more source
Latex Serum‐Derived Supramolecular Networks Enable Toughening of Natural Rubber
Latex‐serum addition enhances strain‐induced crystallization (SIC) toughening in natural rubber, increasing tearing strength and extending the SIC activation window. Supramolecular networks form via bifurcated hydrogen bonding between polyol components (e.g., quebrachitol) and end‐functionalized polyisoprene chains, serving as effective crystallization
Katsuhiko Tsunoda +5 more
wiley +1 more source
Active Learning for the Discovery of Antiviral Polymers
Machine learning and active learning are integrated to accelerate the discovery of antiviral polymers. Molecular descriptors derived from polymer composition enable predictive modeling of antiviral activity, while unsupervised clustering explores chemical diversity. The active learning workflow identifies optimal candidates for synthesis, demonstrating
Clodagh M Boland +2 more
wiley +1 more source
Monoaminergic Networks of Cognitive and Behavioral Symptoms in Early Parkinson's Disease
Abstract Background Parkinson's disease (PD) is associated with several behavioral and cognitive symptoms, the neurobiological background of which is not yet fully understood. Objectives The aim was to investigate the association between monoamine function and four specific nonmotor symptoms in early PD using the Parkinson's Progression Markers ...
Kalle J. Niemi +3 more
wiley +1 more source
Molecular Dynamics Study of Melt Structure and Transport Properties of Mg‒Al Alloy
The structural evolution and transport coefficients of the Mg‐Al alloy melt at different temperatures were investigated using molecular dynamics simulation methods. By establishing relationships among structure, diffusion, and viscosity, the microscopic mechanisms behind the temperature‐induced changes in transport properties are revealed. ABSTRACT The
Lijun Zhang +7 more
wiley +1 more source
We develop a full randomization of the classical hyper‐logistic growth model by obtaining closed‐form expressions for relevant quantities of interest, such as the first probability density function of its solution, the time until a given fixed population is reached, and the population at the inflection point.
Juan Carlos Cortés +2 more
wiley +1 more source

