Results 181 to 190 of about 75,106 (264)

Deep‐Learning‐Based Denoising for Improved Phase Precision in Electron Holography of Electromagnetic Fields in Nanoscale Materials

open access: yesAdvanced Science, EarlyView.
Low‐dose electron holography is limited by shot noise, which buries weak phase signals. HoloDenoiser, a physics‐informed network that works simultaneously in the spatial and frequency domains, locates and protects the holographic sideband while suppressing noise in the hologram.
Ye Luo   +10 more
wiley   +1 more source

Potential of Nanoparticle‐Based Phototherapies for Future Treatment of Uveal Melanoma

open access: yesAdvanced Science, EarlyView.
This review evaluates nanoparticle‐based phototherapies for uveal melanoma, highlighting emerging strategies to enhance tumor targeting, light delivery, and treatment precision. Preclinical data indicate improved efficacy and reduced toxicity, supporting their potential to enhance localized treatment and future translational advances. (Generated by the
Emilie Lambert   +8 more
wiley   +1 more source

Strong Metal‐Support Interaction Driven Janus Reconstruction in PtRu Alloys for Low‐Temperature Hydrogen Storage

open access: yesAdvanced Science, EarlyView.
Strong metal‐support interactions (SMSI) drive the spontaneous segregation of RuPt alloy into Janus nanoparticles on CeO2, spatially partitioning Pt‐rich domains for H2 dissociation and Ru‐rich domains for toluene adsorption. This Janus nanocatalysts yield a turnover frequency of 10 906 h−1 for toluene hydrogenation at 50 °C, which is 6.7 times that of
Xingyu Zhang   +5 more
wiley   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

open access: yesAdvanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li   +3 more
wiley   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

open access: yesAdvanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu   +8 more
wiley   +1 more source

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