Local p‐ and n‐Type Doping of an Oxide Semiconductor via Electric‐Field‐Driven Defect Migration
Local acceptor and donor doping is achieved in a semiconducting oxide by controlled splitting of oxygen interstitial‐vacancy pairs under applied d.c. voltage. The separated oxygen defects are demonstrated to form interstitial‐rich (p‐type) and vacancy‐rich (n‐type) regions, comparable to dipolar npn‐junctions, enabling transient functionalization ...
Jiali He +14 more
wiley +1 more source
Hesitant Fuzzy Subalgebras, Ideals and Congruences on Autometrized Algebras. [PDF]
Tilahun GY.
europepmc +1 more source
Dynamic Neural Deactivation Bridges Direct and Competitive Inhibition Processes
Dynamic neural deactivation bridges traditionally distinct inhibitory mechanisms—direct inhibition and competition‐induced inhibition—revealing a common neural signature across modalities. Multimodal neuroimaging and behavioral experiments demonstrate a temporal dynamic characterized by progressive frontoparietal activation decay and enhanced sensory ...
Zhenhong He +6 more
wiley +1 more source
Intelligent unequal clustering in wireless sensor networks using a game theoretic and evolutionary strategy. [PDF]
Qu Y, Qu Y, Zhu Z, Deng L, Xu X.
europepmc +1 more source
Multi Fuzzy Fractal Theorems in Fuzzy Metric Spaces [PDF]
B. Prasad, Kuldip Katiyar
openalex +1 more source
Big Data and AI‐Powered Modeling: A Pathway to Sustainable Precision Animal Nutrition
This review summarizes the current landscape of big data and AI‐powered modeling in animal nutrition, covering techniques including intelligent data acquisition, data augmentation, explainable machine learning, heuristic algorithms, and life cycle assessment‐based sustainability evaluation.
Shuai Zhang +3 more
wiley +1 more source
A fuzzy system based self-adaptive memetic algorithm using population diversity control for evolutionary multi-objective optimization. [PDF]
Subburaj B, Miruna Joe Amali S.
europepmc +1 more source
p-absolutely summable type fuzzy sequence spaces by fuzzy metric
Paritosh Chandra Das
openalex +2 more sources
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong +7 more
wiley +1 more source
Color Normalization in Breast Cancer Immunohistochemistry Images Based on Sparse Stain Separation and Self-Sparse Fuzzy Clustering. [PDF]
Traisuwan A +4 more
europepmc +1 more source

