Results 151 to 160 of about 42,531 (299)
In‐situ doping during growth of SnSe and subsequent attachment of SnS produces high‐quality lateral pn‐heterojunctions between van der Waals semiconductors. Electron beam induced current measurements demonstrate electrically active pn‐junctions, paving the way for devices that harness charge separation at lateral interfaces in layered heterostructures.
Peter Sutter +4 more
wiley +1 more source
Anatomy-Guided Hybrid CNN-ViT Model with Neuro-Symbolic Reasoning for Early Diagnosis of Thoracic Diseases Multilabel. [PDF]
Almughamisi N +3 more
europepmc +1 more source
Far beyond the classical data models: symbolic data analysis
Monique Noirhomme-Fraiture +1 more
openalex +2 more sources
Dual‐cation site engineering unlocks stable and fast sodium storage in Na4VMn(PO4)3 cathodes. Li+ at Na2 suppresses Jahn‐Teller distortion, while K+ at Na1 expands ion channels, enabling synchronized V/Mn redox and quasi‐single‐phase kinetics. This atomic‐level strategy achieves ultralong cycling stability, high‐rate capability, and full cell viability
Jiaze Sun +8 more
wiley +1 more source
Development and initial validation of the Communication Inventory Disability - Observer Reported (CID-OR): a measure of communication in CDKL5 deficiency disorder. [PDF]
Downs J +10 more
europepmc +1 more source
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park +4 more
wiley +1 more source
The association between longitudinal changes in inter-hemispheric IPS functional connectivity and math gains depends on children's age and task requirements. [PDF]
Suárez-Pellicioni M, Price G, Booth JR.
europepmc +1 more source
A MUSIC STRUCTURE INFERENCE ALGORITHM BASED ON SYMBOLIC DATA ANALYSIS
Gabriel Sargent +6 more
openalex +1 more source
Block Copolymers: Emerging Building Blocks for Additive Manufacturing
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson +3 more
wiley +1 more source

