Results 151 to 160 of about 291,981 (317)
Canonical representations of Gaussian processes and their applications [PDF]
, 1960 Takeyuki Hida
openalex +1 more source
Advanced Functional Materials, EarlyView.Self‐reinforcing degradation in solution‐processed small‐molecule organic light‐emitting diodes (OLEDs) arises from charge accumulation and exciton‐polaron interactions, leading to molecular aggregation and efficiency loss. This study uncovers the fundamental mechanisms behind this degradation and introduces strategic material engineering approaches ...
Eonji Cha +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu +6 more
wiley +1 more source
Numerical Simulation of Stationary and Non-Stationary Gaussian Random Processes [PDF]
, 1965 Joel Franklin
openalex +1 more source
Introduction to Gaussian processes
This talk is meant to provide a fundamental understanding of GPs. We stick to textbook basics and cover the weight space and function space derivation. We discuss the weight prior, weight posterior as well as the posterior predictive distributions. We conclude with connections to Uncertainty Quantification.
openaire +1 more source
Advanced Functional Materials, EarlyView.AI is transforming the research paradigm of battery materials and reshaping the entire landscape of battery technology. This comprehensive review summarizes the cutting‐edge applications of AI in the advancement of battery materials, underscores the critical challenges faced in harnessing the full potential of AI, and proposes strategic guidance for ...
Qingyun Hu +5 more
wiley +1 more source
Advanced Functional Materials, EarlyView.This study demonstrates that the dual delivery of BMP‐2/‐7 coding cmRNAs for bone healing is demonstrated as feasible, safe, and highly osteogenic. Compared to single BMP‐2 or BMP‐7 cmRNAs, the combination enhances the production of both mineral and organic components of the extracellular matrix when delivered using a collagen‐HA scaffold, supporting ...
Claudia Del Toro Runzer +7 more
wiley +1 more source
Sequential GP-UCB Bayesian optimization for deep neural network fine-tuning in dissolved oxygen prediction [PDF]
Computational Ecology and SoftwareDissolved Oxygen (DO) serves as a crucial measure of water quality, imperative for both aquatic life and human consumption. The application of deep learning, particularly through data-driven predictions, offers a robust tool for estimating DO ...
Farid Hassanbaki Garabaghi +2 more
doaj
Cross Spectral Analysis of a Gaussian Vector Process in the Presence of Variance Fluctuations [PDF]
, 1968 T. Subba Rao
openalex +1 more source
Advanced Functional Materials, EarlyView.Ultra‐short pulsed laser processing (ULSP) enables scalable, open‐air fabrication of self‐organized, quasi‐periodic micro/nanostructures on copper using 100 µm laser beams, orders of magnitude larger than the resulting surface features. Integrated into ultra‐thin, wick‐free vapor chambers, these laser‐functionalized surfaces dramatically enhance ...
Anish Pal +7 more
wiley +1 more source