Results 181 to 190 of about 292,761 (269)

Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling

open access: yesAdvanced Science, EarlyView.
Phase separation is emerging as a multiscale organizing principle of genome folding across scales, from nucleosomes and transcriptional condensates to chromatin domains and nuclear compartments. By integrating physics‐based simulations with data‐driven inference, computational modeling now links molecular interactions to nuclear architecture and points
Jiahu Tang   +3 more
wiley   +1 more source

A Polymorphic Reconfigurable Multi‐Electrode Device Based on Electrically Bistable Nanostructured Metallic Films

open access: yesAdvanced Electronic Materials, EarlyView.
A polymorphic reconfigurable multi‐electrode device based on electrically bistable nanostructured metallic films. The adaptive reconfiguration properties of the nanostructured network under specific input voltages drive the reprogrammability of the device. This system can be employed for the implementation of polymorphic devices, which can be used both
Silvia Bressan   +4 more
wiley   +1 more source

In Situ Electrostatic Charge‐Assisted Wetting for Enhancing Interfacial Strength of Printed Electronics

open access: yesAdvanced Electronic Materials, EarlyView.
This study introduces an in situ electrostatic charge‐assisted wetting method to enhance the interfacial strength of aerosol jet printing. By depositing negative charges on the substrate, the technique improves ink wetting and interfacial properties, achieving up to 85.6% higher interfacial shear strength.
Ao Li   +5 more
wiley   +1 more source

Light Stability of Laser‐Assisted Glass Encapsulated Perovskite Solar Cells under Different Atmospheres

open access: yesAdvanced Energy Materials, EarlyView.
This study presents a laser‐assisted glass‐frit encapsulation method for perovskite solar cells, comparing air‐, nitrogen‐, and CO2‐filled cavities. Results show that excluding oxygen and moisture significantly improves stability under illumination. The findings reveal the critical role of trapped gases in degradation, providing a pathway to durable ...
Marta Pereira   +5 more
wiley   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

Machine Learning Driven Inverse Design of Broadband Acoustic Superscattering

open access: yesAdvanced Intelligent Discovery, EarlyView.
Multilayer acoustic superscatterers are designed using machine learning to achieve broadband superscattering and strong sound insulation. By incorporating a weighted mean absolute error into the loss function, the forward and inverse neural networks accurately map structural parameters to spectral responses.
Lijuan Fan, Xiangliang Zhang, Ying Wu
wiley   +1 more source

Temperature‐Tunable Cholesteric Liquid Crystal Optical Combiners for Extended Reality Applications

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Recent advancements in extended reality highlight their potential to enhance traditional displays like liquid crystal displays and organic light‐emitting diode screens. This article introduces an innovative cholesteric liquid crystal‐based optical combiner for head‐mounted displays, enabling seamless transitions between augmented reality, virtual ...
Yuanjie Xia   +6 more
wiley   +1 more source

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