Results 81 to 90 of about 93,018 (292)

Osteogenic Effects of Ion Released from Biodegradable Metallic Magnesium and Calcium Coating

Advanced Biology, EarlyView.
This study explores how magnesium–calcium coatings on titanium promote osteogenesis by releasing ions and elevating pH during degradation. Using osteoblast‐like cells, the research demonstrates that both ion release and pH changes contribute to cell proliferation, differentiation, and mineralization, offering new insights into the design of bioactive ...
Risa Miyake, Masaya Shimabukuro, Masahiko Terauchi, Eriko Marukawa, Masakazu Kawashita   +4 more
wiley   +1 more source

Applications of the Strategic Defense Initiative's compact accelerators [PDF]

The Strategic Defense Initiative's (SDI) investment in particle accelerator technology for its directed energy weapons program has produced breakthroughs in the size and power of new accelerators.
Lynch, Ted, Montanarelli, Nick
core   +1 more source

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

Advanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee, Mahdi Askari‐sedeh, Ali Zolfagharian, Mostafa Baghani   +3 more
wiley   +1 more source

Advanced Virtual Accelerator Software: A linear accelerator simulation code

Physical Review Accelerators and Beams
The Advanced Virtual Accelerator Software (avas) has been developed to simulate beam transport processes in high-intensity linear accelerators and has been used in the China Initiative Accelerator Driven System (CiADS) project.
Chao Jin, Zhijun Wang, Xin Qi, Yuan He, Zhongyi Li, Kunxiang Sun, Xiaolong Chen, Chi Feng, Xiaoying Zhao, Yaxin Hu, Yuan Tian, Kai Li   +11 more
doaj   +1 more source

Surface Analysis of OFE-Copper X-Band Accelerating Structures and Possible Correlation to RF Breakdown Events

, 2003
X-band accelerator structures meeting the Next Linear Collider (NLC) design requirements have been found to suffer vacuum surface damage caused by radio frequency (RF) breakdown, when processed to high electric-field gradients.
E. L. Garwin, F. Le Pimpec, F. Marcelja, K. Adamson, Prut V. V., R. E. Kirby, S. E. Harvey, Singh B., Vorob’ev E. V.   +8 more
core   +2 more sources

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Comparative Wear and Friction Analysis of Sliding Surface Materials for Hydrostatic Bearing under Oil Supply Failure Conditions

Advanced Engineering Materials, EarlyView.
Hydrostatic bearings excel in high‐precision applications, but their performance hinges on a continuous external supply. This study evaluates various material combinations for sliding surfaces to mitigate damage during supply failures or misalignment and to discover the most effective materials identified for enhancing the reliability and efficiency of
Michal Michalec, Lukáš Daněk, Jan Foltýn, Petr Svoboda, Carsten Gachot, Martin Hartl, Ivan Křupka   +6 more
wiley   +1 more source

Machine Learning Applied to High Entropy Alloys under Irradiation

Advanced Engineering Materials, EarlyView.
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour, Sri Tapaswi Nori, Silvia Bonfanti, Mikko Alava, Antoni Wadowski, Wenyi Huo, Łukasz Kurpaska, Michał Pecelerowicz, Jan S. Wróbel   +8 more
wiley   +1 more source

Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials

Advanced Engineering Materials, EarlyView.
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani, Surabhi Nadigotti, Erfan Fatehi, Derek Aranguren van Egmond, Behnam Ashrafi   +4 more
wiley   +1 more source

Implementation of the beam-loading effect in the tracking code RF-track based on a power-diffusive model

Frontiers in Physics
The need to achieve high energies in particle accelerators has led to the development of new accelerator technologies, resulting in higher beam intensities and more compact devices with stronger accelerating fields.
Javier Olivares Herrador, Javier Olivares Herrador, Andrea Latina, Avni Aksoy, Avni Aksoy, Nuria Fuster Martínez, Benito Gimeno, Daniel Esperante, Daniel Esperante   +8 more
doaj   +1 more source