Results 91 to 100 of about 58,916 (226)
An alcohol‐adduct‐mediated strategy is employed to stabilize tin isopropoxide for the formation of a homogeneous double electron transport layer (ETL) incorporating SnO2 nanoparticles (NPs). This double‐ETL exhibits improved optical and charge‐transport properties due to reduced defect density and better energy level alignment, resulting in high ...
You‐Hyun Seo +10 more
wiley +1 more source
An exploration of the electromagnetic boundary conditions for two-dimensional materials with out-of-plane polarization. [PDF]
Hansen A, Mišković ZL.
europepmc +1 more source
The introduction of high‐sublimation‐temperature additives during the mechanosynthesis of FAPbI3 powders enables the single‐source evaporation of phase‐pure, additive‐free FAPbI3 thin films of high optoelectronic quality. The additive‐engineered deposition process yields photovoltaic devices with stabilized efficiencies exceeding 18% for an active ...
Zongbao Zhang +13 more
wiley +1 more source
Effect of initial stress on electro-magneto-thermoelastic semiconductor materials exposed to a pulsed lasers due to the interaction between electrons and holes. [PDF]
Alarfaj KK.
europepmc +1 more source
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
Topology-preserving Hodge decomposition in the Eulerian representation. [PDF]
Su Z, Tong Y, Wei GW.
europepmc +1 more source
Decomposition of the polynomial kernel of arbitrary higher spin Dirac operators [PDF]
Brackx F. +4 more
core +1 more source
Composition‐Aware Cross‐Sectional Integration for Spatial Transcriptomics
Multi‐section spatial transcriptomics demands coherent cell‐type deconvolution, domain detection, and batch correction, yet existing pipelines treat these tasks separately. FUSION unifies them within a composition‐aware latent framework, modeling reads as cell‐type–specific topics and clustering in embedding space.
Qishi Dong +5 more
wiley +1 more source
A Unifying Framework for Complex-Valued Eigenfunctions via The Cartan Embedding. [PDF]
Gudmundsson S, Lindström A.
europepmc +1 more source
When Biology Meets Medicine: A Perspective on Foundation Models
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu +3 more
wiley +1 more source

