Results 151 to 160 of about 106,398 (294)
The performance of Cu‐based photocathodes in photoelectrochemical CO2 reduction is not governed by catalytic sites alone, but by the dynamic journey of photogenerated carriers. This review decodes how carrier generation, recombination, transport, accumulation, extraction, and electrolyte coupling shape catalytic activity, selectivity, and stability ...
Yi‐Cheng Wang +5 more
wiley +1 more source
Thesis (MCom)--Stellenbosch University, 2024.ENGLISH SUMMARY: Boosting is a supervised learning procedure that has gained considerable interest in statistical and machine learning owing to its powerful predictive performance.
Zackey, Matthew David
core
We report a wearable photonic patch integrating room light‐ and sunlight‐activatable luminescent particles (RSLPs) for both photochemical tissue bonding and photobiomodulation. RSLPs harvest ambient light and emit red luminescence to drive chlorin e6–mediated collagen crosslinking.
Kyungjoo Jo +12 more
wiley +1 more source
Ultrathin MXene/EMF composite foams achieve a specific shielding efficiency of 749.6 dB.dB·cm3$\mathrm{dB}\cdot {\mathrm{cm}}^{3}$/g, while the silver‐enhanced MXene/Ag/EMF reaches 81.4 dB shielding effectiveness at just 1.0 mm thickness. Both composites exhibit rapid Joule heating, retain stability up to 250∘C$^\circ{\rm C}$, and withstand 1000 ...
Abdullah A. Mahmood +7 more
wiley +1 more source
Xenes for Sustainable Energy: A Roadmap From First‐Principles Design to Practical Deployment
Emerging 2D Xenes are advancing from theoretical predictions toward practical energy‐storage and conversion technologies through the integration of first‐principles modelling, experimental synthesis, electrochemical validation, and AI‐assisted materials design, enabling accelerated discovery of high‐performance and sustainable electrochemical systems ...
Onur Karaman, Ceren Karaman
wiley +1 more source
Accelerating Gradient Boosting Machines
Gradient Boosting Machine (GBM) introduced by Friedman (2001) is a widely popular ensembling technique and is routinely used in competitions such as Kaggle and the KDD-Cup (Chen and Guestrin, 2016).
Karimireddy, Sai Praneeth +3 more
core
A Hybrid Computational Framework for PCF‐based SPR Sensor With Machine Learning and xAI
A photonic crystal fiber‐based surface plasmon resonance (SPR) sensor integrating rectangular air holes along with conventional circular air holes achieves exceptional wavelength sensitivity of 15,000 nm/RIU across a broad refractive index range of 1.31–1.39. Integrated machine learning with explainable AI (xAI) models achieves high prediction accuracy
Mahabur Rahman Fahim +3 more
wiley +1 more source
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz +5 more
wiley +1 more source
Genetic diseases are mostly implicated with genetic variants, including missense, synonymous, non-sense, and copy number variants. These different kinds of variants are indicated to affect phenotypes in various ways from previous studies.
Chen, K, Ding, M, Yang, Y, Zhao, H
core +1 more source
Hf–Zr–O‐based morphotropic phase boundary (MPB) thin films often suffer from limited endurance and poor uniformity due to intrinsic phase instability. This work proposes a nanolaminate architecture that spatially separates competing phases, stabilizes phase formation, and suppresses wake‐up‐induced degradation.
Hojung Jang, Hyunsang Hwang
wiley +1 more source

