Results 31 to 40 of about 431,057 (288)
Frontiers in Materials, 2020 Alkaline water electrolysis becomes increasingly important for the supply of renewable energy, and of raw material for the chemical industry. An attractive choice for the encapsulation of the electrolyte cell is an (advanced) engineering polymer.
X. X. Zheng +4 more
doaj +1 more source
A Review of the Effect of Irradiation on the Corrosion of Copper-Coated Used Fuel Containers
Corrosion and Materials Degradation, 2021 Radiation induced corrosion is one of the possible modes of materials degradation in the concept of long-term management of used nuclear fuel. Depending on the environmental conditions surrounding the used fuel container, a range of radiolysis products ...
Fraser King, Mehran Behazin
doaj +1 more source
A comparison of fatigue lifetime prediction models applied to variable amplitude loading [PDF]
, 2017 The loads imposed on e.g. offshore structures can vary considerably with time. Lifetime prediction methodologies need to consider possible acceleration and retardation of the crack growth rate due to load sequences.
De Waele, Wim +2 more
core +2 more sources
The newfound relationship between extrachromosomal DNAs and excised signal circles
FEBS Letters, EarlyView.Extrachromosomal DNAs (ecDNAs) contribute to the progression of many human cancers. In addition, circular DNA by‐products of V(D)J recombination, excised signal circles (ESCs), have roles in cancer progression but have largely been overlooked. In this Review, we explore the roles of ecDNAs and ESCs in cancer development, and highlight why these ...
Dylan Casey, Zeqian Gao, Joan Boyes
wiley +1 more source
Synergizing physics and machine learning for advanced battery management
Communications EngineeringImproving battery health and safety motivates the synergy of a powerful duo: physics and machine learning. Through seamless integration of these disciplines, the efficacy of mathematical battery models can be significantly enhanced.
Manashita Borah +4 more
doaj +1 more source
Fast and generalisable parameter-embedded neural operators for lithium-ion battery simulation
Energy and AIDigital twins of lithium-ion batteries are increasingly used to enable predictive monitoring, control, and design at system scale. Increasing their capabilities involves improving their physical fidelity while maintaining sub-millisecond computational ...
Amir Ali Panahi +5 more
doaj +1 more source
Performance and Reliability Degradation of CMOS Image Sensors in Back-Side Illuminated Configuration
IEEE Journal of the Electron Devices Society, 2020 We present a systematic characterization of wafer-level reliability dedicated test structures in Back-Side-Illuminated CMOS Image Sensors. Noise and electrical measurements performed at different steps of the fabrication process flow, definitely ...
Andrea Vici +5 more
doaj +1 more source
Predicting Environmental Ageing of Composites: Modular Approach and Multiscale Modelling
Materials Proceedings, 2021 Fibre-reinforced composite materials are used in structural applications in marine, offshore, and oil and gas industries due to their light weight and excellent mechanical properties.
Andrey E. Krauklis
doaj +1 more source
Pocketqube Deorbit Times: Susceptibility to the Solar Cycle [PDF]
, 2017 Nowadays, as a new kind of femto-satellite with a low cost, Pocketqube has been developed to finish the space research task within the LEO region. During its lifetime the pocketqube is exposed to a high risk of collision with space debris.
Chen, Xianqi +2 more
core +1 more source
FEBS Letters, EarlyView.Cryptochrome and PAS/LOV proteins play intricate roles in circadian clocks where they act as both sensors and mediators of protein–protein interactions. Their ubiquitous presence in signaling networks has positioned them as targets for small‐molecule therapeutics. This review provides a structural introduction to these protein families.
Eric D. Brinckman +2 more
wiley +1 more source