Results 121 to 130 of about 374,385 (274)
Polymorph‐Specific Electronic Transduction in WO3 during Molecular Sensing
Metal‐oxide polymorphs with similar surface chemistry can nevertheless exhibit distinct sensing properties. In γ‐ and ε‐WO3, analyte adsorption appears comparable; yet, only ε‐WO3 induces a pronounced lattice electronic perturbation that accommodates charge in sub‐conduction band minimum states.
Matteo D'Andria +6 more
wiley +1 more source
Deck motion prediction using neural kernel network Gaussian process regression
Deck motion prediction and compensation are critical technologies for carrier-based aircraft automatic landing. Traditional deck motion prediction methods rely on precision of motion models and parameter adjustments, facing challenges in adaptability to ...
QIN Peng +3 more
doaj +1 more source
Wavelet transform for log periodogram regression in long memory stochastic volatility model [PDF]
We consider semiparametric log periodogram regression estimation of memory parameter for the latent process in long memory stochastic volatility models.
Jin Lee
core
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley +1 more source
Teaching Functions with Gaussian Process Regression
Humans are remarkably adaptive instructors who adjust advice based on their estimations about a learner’s prior knowledge and current goals. Many topics that people teach, like goal-directed behaviors, causal systems, categorization, and time-series patterns, have an underlying commonality: they map inputs to outputs through an unknown function.
Maya Malaviya, Mark K. Ho
openaire +2 more sources
Actuation of Cell Layers in Three Dimensions
ABSTRACT The alignment of fibers and cells in living tissues affect their mechanical properties and functionality. In this context, one can draw an analogy between tissues and nematic liquid crystal elastomers. We explore this analogy by growing fibroblasts on 2D‐patterned substrates and observing the contraction of cell sheets upon detachment from the
Kirsten Endresen +6 more
wiley +1 more source
Numerical Solutions of Hamilton-Jacobi Inequalities by Constrained Gaussian Process Regression
This paper proposes numerical solutions of Hamilton-Jacobi inequalities based on constrained Gaussian process regression. While Gaussian process regression is a tool to estimate an unknown function from its input and output data conventionally, the ...
Kenji Fujimoto +2 more
doaj +1 more source
Gaussian Processes For Regression In Channel Equalization
Publication in the conference proceedings of EUSIPCO, Florence, Italy ...
Sebastian Caro +2 more
openaire +4 more sources
An active learning framework, grounded in independently generated in‐house experimental data, enables reliable discovery of high‐performance interfacial materials for perovskite solar cells. Iterative model refinement autonomously converges toward structurally robust quaternary ammonium architectures, establishing a new design principle for interfacial
Jongbeom Kim +8 more
wiley +1 more source
AI–Guided 4D Printing of Carnivorous Plants–Inspired Microneedles for Accelerated Wound Healing
This work presents an artificial intelligence (AI)‐guided 4D‐printed microneedle platform inspired by carnivorous plants for wound healing. A thermo‐responsive shape memory polymer enables body temperature–triggered self‐coiling for autonomous wound closure.
Hyun Lee +21 more
wiley +1 more source

