Results 61 to 70 of about 68,993 (274)

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

Fuzzy Supernova Templates I: Classification

, 2009
Modern supernova (SN) surveys are now uncovering stellar explosions at rates that far surpass what the world's spectroscopic resources can handle. In order to make full use of these SN datasets, it is necessary to use analysis methods that depend only on
Aldering, Barbary, Barris, Blondin, Cappellaro, Di Carlo, Dubois, Dubois, Garnavich, George, Goldhaber, Gregory, Gänsicke, Hamacher, Hamuy, Hatano, Hicken, Holtzman, Homeier, Howell, Hsiao, Jha, Jha, Jha, John L. Tonry, Johnson, Klir, Krisciunas, Krisciunas, Krisciunas, Kuznetsova, Lair, Leonard, Lewis, Lira, Meikle, Miknaitis, Nugent, Patat, Perlmutter, Poznanski, Qiu, Reindl, Riess, Riess, Riess, Sako, Sollerman, Steven A. Rodney, Stritzinger, Sullivan, Suntzeff, Tonry, Tsvetkov, Tsvetkov, Wang, Wood-Vasey, Yokoo, Yoshii   +58 more
core   +1 more source

BACH, a Bayesian Optimization Protocol for Accurate Coarse‐Grained Parameterization of Organic Liquids

Advanced Functional Materials, EarlyView.
We present a fully automated Bayesian optimization (BO) protocol for the parameterization of nonbonded interactions in coarse‐grain CG force fields (BACH). Using experimental thermophysical data, we apply the protocol to a broad range of liquids, spanning linear, branched, and unsaturated hydrocarbons, esters, triglycerides, and water.
Janak Prabhu, Akhil Pratap Singh, Pablo Campomanes, Stefano Vanni   +3 more
wiley   +1 more source

Application of Watershed Segmentation Algorithm and Supervised Bayesian Classification in the Evaluation of Petrophysical Parameters, Pore Properties, and Lithofacies Using 3d Seismic Data, Wireline Logs, and Sem Images: A Case Study from Abadan Plain, Sw Iran [PDF]

, 2023
Hamed Ghanbarnejad-Moghanloo, Mohammad Ali Riahi   +1 more
openalex   +2 more sources

Bayesian Analysis of Multi-Factorial Experimental Designs Using SEM

Multivariate Behavioral Research
Latent repeated measures ANOVA (L-RM-ANOVA) has recently been proposed as an alternative to traditional repeated measures ANOVA. L-RM-ANOVA builds upon structural equation modeling and enables researchers to investigate interindividual differences in main/interaction effects, examine custom contrasts, incorporate a measurement model, and account for ...
Benedikt Langenberg, Jonathan L. Helm, Axel Mayer   +2 more
openaire   +3 more sources

Active Learning‐Accelerated Discovery of Fibrous Hydrogels with Tissue‐Mimetic Viscoelasticity

Advanced Functional Materials, EarlyView.
Active learning accelerates the design of fibrous hydrogels that mimic the viscoelasticity of native tissues. By integrating multi‐objective optimization and closed‐loop experimentation, this approach efficiently identifies optimal formulations from thousands of possibilities and decouples elasticity and viscosity. The resulting hydrogels offer tunable
Zhengkun Chen, Zheyuan Miao, Gary Tom, Austin H. Cheng, Elizaveta Gusarova, Benjamen Zondag, Tianyi Wu, Dianoosh Kalhori, Boris Hinz, Milad Abolhasani, Alán Aspuru‐Guzik, Eugenia Kumacheva   +11 more
wiley   +1 more source

Bayesian Versus Frequentist Inference in Structural Equation Modeling: Finite-Sample Properties and Economic Applications

Mathematics
Structural Equation Modeling (SEM) is a key framework for analyzing complex economic relationships involving latent variables, mediation effects, and endogeneity, yet the choice between frequentist and Bayesian estimation remains theoretically and ...
Bojan Baškot, Andrej Ševa, Vesna Lešević, Bogdan Ubiparipović   +3 more
doaj   +1 more source

blavaan: Bayesian Structural Equation Models via Parameter Expansion

Journal of Statistical Software, 2018
This article describes blavaan, an R package for estimating Bayesian structural equation models (SEMs) via JAGS and for summarizing the results. It also describes a novel parameter expansion approach for estimating specific types of models with residual ...
Edgar C. Merkle, Yves Rosseel
doaj   +1 more source

Cytokine responses in birds challenged with the human food-borne pathogen Campylobacter jejuni implies a Th17 response [PDF]

Royal Society Open Science, 2016
Development of process orientated understanding of cytokine interactions within the gastrointestinal tract during an immune response to pathogens requires experimentation and statistical modelling.
William D. K. Reid, Andrew J. Close, Suzanne Humphrey, Gemma Chaloner, Lizeth Lacharme-Lora, Lisa Rothwell, Pete Kaiser, Nicola J. Williams, Tom J. Humphrey, Paul Wigley, Stephen P. Rushton   +10 more
doaj   +1 more source

A Bayesian network approach to explaining time series with changing structure [PDF]

, 2004
Many examples exist of multivariate time series where dependencies between variables change over time. If these changing dependencies are not taken into account, any model that is learnt from the data will average over the different dependency structures.
Liu, X, Tucker, A
core