Results 171 to 180 of about 150,474 (283)

Understanding Fabrication Variability in Core‐Shell Soft Biomaterials Using Stochastic Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Fabrication‐induced variability remains a fundamental limitation in the scalable design of soft biomaterials. In this work, a stochastic machine learning approach based on Gaussian processes modeling is employed to establish quantitative links between biofabrication parameters, material properties, and their intrinsic variability.
Maria Alexaki   +8 more
wiley   +1 more source

Multimodal Super‐Resolution Imaging of Nitrogen‐Vacancy Centers via High‐Index‐Induced Structured Illumination Microscopy and Optically Detected Magnetic Resonance Spectrometry

open access: yesAdvanced Science, EarlyView.
This work demonstrates a multimodal super‐resolution imaging technique for nitrogen‐vacancy centers by integrating high‐index‐induced structured illumination with optically detected magnetic resonance. By utilizing diamond's high refractive index, the method achieves sub‐100‐nm spatial resolution and enhanced localization. This dual‐modulation strategy
Kyu Ri Choi   +9 more
wiley   +1 more source

Controllability result of impulsive stochastic fractional functional differential equation with infinite delay [PDF]

open access: yesInternational Journal of Advances in Applied Mathematics and Mechanics, 2014
Mohd Nadeem, Jaydev Dabas
doaj  

Extreme Kinetic Stability and RNase Resistance of Human Telomerase RNA G‐Quadruplexes Overcome by DHX36 Helicase

open access: yesAdvanced Science, EarlyView.
The RNA G‐quadruplexes formed at the 5'‐end of the RNA component of human telomerase possess extreme slow unfolding rate, rendering them resistant to nuclease degradation. The helicase DHX36 overcame this kinetic barrier and significantly reduced the folded fraction.
Qun Luo   +5 more
wiley   +1 more source

Design and Optimization of Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces Based on Conditional Multi‐Task Deep Learning

open access: yesAdvanced Science, EarlyView.
A conditional multi‐task deep learning framework is developed for designing and optimizing Full‐Stokes Hyperspectro‐Polarimetric Encoding Metasurfaces (FHPEMs). This framework achieves joint spectro‐polarimetric learning and unified forward–inverse design.
Chenjie Gong   +9 more
wiley   +1 more source

Memristive Baffle Systems: Design, Simulation, and Applications

open access: yesAdvanced Science, EarlyView.
This study presents a nanoscale baffle‐system strategy for HfO2‐based memristors that controls oxygen‐vacancy transport through Al2O3 interlayers. Guided by multiscale simulation and experimental validation, the Al2O3 dual‐barrier configuration simultaneously enhances synaptic linearity and endurance.
Eun Young Kim   +9 more
wiley   +1 more source

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