Results 201 to 210 of about 5,565,025 (258)

CoSP: Reconfigurable Metamaterial Inverse Design via Contrastive Pretrained Large Language Model

open access: yesAdvanced Science, EarlyView.
In this work, CoSP (contrastive multi‐state pretrain), an intelligent inverse design method for reconfigurable metamaterials based on a contrastive pretrained large language model, is proposed. Numerical experiments demonstrate that CoSP can design reconfigurable metamaterial structures for multi‐state, multi‐band optical responses, showing great ...
Shujie Yang   +4 more
wiley   +1 more source

Toward High‐Resolution Polymeric Neural Interfaces: A Practical Guide for Electron Beam Lithography

open access: yesAdvanced Science, EarlyView.
Electron beam lithography (EBL) enables sub‐micron patterning of polymer‐based neural implants, overcoming the resolution limits of optical lithography. By addressing challenges such as charging, non‐planarity, and substrate heating, it supports higher channel density, improved miniaturization, and better long‐term tissue integration.
Hanna Karlsson‐Fernberg, Maria Asplund
wiley   +1 more source

Structural Control Over Bicontinuous Emulsions from Solvent‐Transfer Induced Phase Separation Through Nanoparticle Loading

open access: yesAdvanced Science, EarlyView.
The nanoparticle loading enables effective control over the liquid domain size in bicontinuous interfacially jammed emulsion gels (bijels) produced through solvent‐transfer induced phase separation (STrIPS). The relationship between the nanoparticle loading and domain size profiles in STrIPS bijels is resolved through confocal microscopy and explained ...
Jesse M. Steenhoff, Martin F. Haase
wiley   +1 more source

SemanticST: A Scalable Multi‐Contextual Graph Learning Framework for Uncovering Spatial Niches and Robust Multi‐Sample Integration in Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Technical limitations often let dominant signals overshadow rare cell types and fine‐grained heterogeneity in spatial transcriptomics. SemanticST, a graph neural network using multi‐semantic graph fusion and a novel min‐cut loss, recovers these subtle patterns.
Roxana Zahedi   +7 more
wiley   +1 more source

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