Results 231 to 240 of about 397,070 (318)

Transverse Mode Instability in High-Power Yb-Doped Double-Clad Fiber Amplifiers: A Three-Layer Optical-Thermal Analysis Based on Stimulated Thermal Rayleigh Scattering. [PDF]

Micromachines (Basel)
Cardoso ES, Samad RE, Motta CC.
europepmc   +1 more source

Synthesis of Core–Shell Te@Se Quantum Dots and Their Broadband Photodetector Performance in Low Concentration Electrolytes

Laser &Photonics Reviews, EarlyView.
Te@Se core–shell heterojunction quantum dots (QDs) are synthesized by a two‐step strategy via combining liquid‐phase exfoliation and epitaxial growth. As active materials in photoelectrochemical photodetectors, Te@Se QDs exhibit excellent photo‐response performance in low‐concentration electrolytes and deionized water.
Yiming Zhao, Artem V. Kuklin, Jiahui Hou, Mingqi He, Lyudmila V. Begunovich, Han Zhang, Ying Li, Hans Ågren, Lingfeng Gao   +8 more
wiley   +1 more source

Stems and leaves of angiosperms follow a convex trade-off to optimise hydraulic safety and efficiency. [PDF]

New Phytol
Kreinert S, Pereira L, Kaack L, Miranda MT, Ribeiro RV, Jansen S.   +5 more
europepmc   +1 more source

Bayesian Optimization of Grayscale Patterns for Layer‐Height Accuracy in Projection Multi‐Photon 3D Printing

Laser &Photonics Reviews, EarlyView.
Bayesian optimization combined with in situ quantitative phase imaging enables autonomous correction of layer‐height deviations in projection multi‐photon lithography. By jointly tuning model parameters and grayscale exposure settings, the method achieves more uniform and accurate layers within 300 prints, offering a fast, data‐efficient route to ...
Jason E. Johnson, Xianfan Xu
wiley   +1 more source

On the mixed-model analysis of covariance in cluster-randomized trials. [PDF]

Stat Sci
Wang B, Harhay MO, Tong J, Small DS, Morris TP, Li F.   +5 more
europepmc   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

Macromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig, Yannik Köster, Timo Koswig, Punith Raviswamy, Subhash V. S. Ganti, Stefan Zechel, Christopher Kuenneth, Ulrich S. Schubert   +7 more
wiley   +1 more source

Modeling growth performance of heterogeneous rabbits in a pastured system using nonlinear, spline and random regression models. [PDF]

Vet Anim Sci
Bashiru HA, Oseni SO.
europepmc   +1 more source

Double-CRISPR Knockout Simulation (DKOsim): A Monte-Carlo randomization system to model cell growth behavior and infer the optimal library design for growth-based double knockout screens. [PDF]

PLoS Comput Biol
Gu Y, Hart T, Leon-Novelo L, Shen JP.
europepmc   +1 more source

Effects of Diet Composition and Yeast Cell Wall Supplementation on Ruminal Fermentation, Gas Kinetics, Methane Production and Digestibility Assessed In Vitro Using Gas Production and Daisy^II Incubator Systems. [PDF]

Vet Med Sci
Ramay MS, Bundur A, Riaz R, Sızmaz Ö.
europepmc   +1 more source

Nutrient-response modeling with a single and interpretable artificial neuron. [PDF]

Sci Rep
Ahmadi H, Rodehutscord M.
europepmc   +1 more source