Results 161 to 170 of about 3,559 (297)

Advances in numerical experimental substructuring techniques using MCS control

open access: yes, 2002
Full-scale dynamic testing of many large-scale civil engineering structures such as bridges and dams is, in most cases, an impossible task due to the size and complexity of the structures when compared to the testing facilities.
Wagg, DJ   +4 more
core  

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

open access: yesAdvanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi   +2 more
wiley   +1 more source

Palladacarboxamide Capping Reagents for Carbon Isotope Labeling and Pharmaceutical Diversification

open access: yesAngewandte Chemie, EarlyView.
Herein, we present a method for carbon isotope labeling of arylamides via the coupling of air‐stable palladium carboxamide complexes and boronic ester/acids. A wide variety of functionalized boronic esters and acids have been coupled with simple palladium carboxamides complexes.
Daniel V. Hoffmann   +8 more
wiley   +2 more sources

Dynamic Substructuring of an A600 Wind Turbine

open access: yes, 2014
A limited and extendable master thesis is representing the first step in the experimental substructuring of an A600 wind turbine. Additional masses have been designed, manufactured and added to the sub components for the laboratory experimental tests ...
Wronski, Marek, Al Kaysee, Ahmed
core   +1 more source

Generative and Experimental Validation of High Refractive Index Polymers via Domain Knowledge Approach with Small Data

open access: yesAdvanced Intelligent Discovery, EarlyView.
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo   +3 more
wiley   +1 more source

Development of Sub‐50 nm Core–Shell Silica Nanoparticles With Controlled In Vivo Behavior for 19F Magnetic Resonance Imaging

open access: yesAngewandte Chemie, EarlyView.
Ultrasmall PFCE‐loaded silica nanoparticles synthesized through a one‐pot double‐emulsion synthesis method, where rapid silica shell formation kinetically fixes droplet size. The resulting s‐FLAME nanoparticles enable strong 19F MRI signals with enhanced hepatic clearance rate and tumor‐accumulation performance. ABSTRACT 19F magnetic resonance imaging (
Yue Wu   +2 more
wiley   +2 more sources

Exploring State-Space Substructuring for time-domain dynamic substructuring applications

open access: yes
Questa tesi mira a sviluppare nuove metodologie per mitigare i limiti dello stato dell’arte nelle tecniche di State-Space-Substructuring (SSS) e negli approcci per stimare i modelli state-space dai dati acquisiti sperimentalmente.
DA SILVA OLIVEIRA DIAS, Rafael
core  

Profiling Co‐Occurrent Morphological Phenotypes and Their Degree of Expression Severity in Vacuolated Cells by Holo‐Tomographic Flow Cytometry and Fractal Analysis

open access: yesAdvanced Intelligent Systems, EarlyView.
HTFC gets 3D refractive index tomograms of flowing cells. Label‐free monocytes are engineered to express patterns of cytoplasmic vacuoles. From the tomogram, an efficient dimensionality reduction is operated. Interpretable features are extracted to classify the expression severity of phenotypes coexisting in each cell, visually represented by a seven ...
Marika Valentino   +9 more
wiley   +1 more source

Optimize Before You Synthesize—Enhancing the Ionic Conductivity of Li7SiPS8 Using Bayesian Optimization

open access: yesAngewandte Chemie, EarlyView.
Bayesian optimization was used to optimize the synthesis parameters of the solid electrolyte Li7SiPS8$\mathrm {Li}_7\mathrm {SiPS}_8$ in order to increase the ionic conductivity. After only 32 iterations, the ionic conductivity was successfully increased from 2 to 7 mS cm−1$\mathrm {cm}^{-1}$ at 25∘C$^\circ\mathrm {C}$, while synthesis temperature and ...
Lucas G. Balzat   +8 more
wiley   +2 more sources

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