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Stochastic Virtual Tests for High-Temperature Ceramic Matrix Composites

Brian N. Cox, Hrishikesh A. Bale, Matthew Begley, Matthew Blacklock, Bao-Chan Do, Tony Fast, Mehdi Naderi, Mark Novak, Varun P. Rajan, Renaud G. Rinaldi, Robert O. Ritchie, Michael N. Rossol (+5 others)
2014 Annual review of materials research (Print)  
We discuss the challenge of predicting the probability of an extreme failure event in a computationally tractable manner while retaining the necessary physical detail. 17.1  ...  Success hinges on understanding the relationship between the microstructure of continuous-fiber composites, including its stochastic variability, and the evolution of damage events leading to failure.  ...  Jamie Nasiatka and Alistair MacDowell contributed to the development of the high-temperature μCT apparatus discussed in this review. LITERATURE CITED  ... 
doi:10.1146/annurev-matsci-122013-025024 fatcat:e7ktf5ngxbac5nlixcvzliopb4

2020 Index IEEE Transactions on Automation Science and Engineering Vol. 17

2020 IEEE Transactions on Automation Science and Engineering  
., +, TASE April 2020 933-946 Data-Driven Predictive Probability Density Function Control of Fiber Length Stochastic Distribution Shaping in Refining Process.  ...  ., +, TASE April 2020 933-946 Data-Driven Predictive Probability Density Function Control of Fiber Length Stochastic Distribution Shaping in Refining Process.  ...  ., +, TASE July 2020 1237 -1249 Comments and Corrections to "Process Mining to Discover Shoppers' Pathways at a Fashion Retail Store Using a WiFi-Base Indoor Positioning System" [Oct 17 1786 [Oct 17  ... 
doi:10.1109/tase.2020.3037603 fatcat:kyt63444lfc45amrjebyjw34qu

ROOTS: An Algorithm to Generate Biologically Realistic Cortical Axons and an Application to Electroceutical Modeling

Clayton S. Bingham, Adam Mergenthal, Jean-Marie C. Bouteiller, Dong Song, Gianluca Lazzi, Theodore W. Berger
2020 Frontiers in Computational Neuroscience  
stimulation strength-duration analysis to explore probable thresholds of excitation of the dentate perforant path under controlled conditions.  ...  ROOTS demonstrates a superior ability to capture biological realism in model fibers, allowing improved accuracy in predicting the impact that microscale structures and branching patterns have on spatiotemporal  ...  generate functional neuronal models that can be refined as the quantity and quality of experimental data improve.  ... 
doi:10.3389/fncom.2020.00013 pmid:32153379 pmcid:PMC7047217 fatcat:rdcoygdsa5bo7eubu52l4sjcsu

Aerodynamic web forming: process simulation and material properties

Simone Gramsch, Axel Klar, Günter Leugering, Nicole Marheineke, Christian Nessler, Christoph Strohmeyer, Raimund Wegener
2016 Journal of Mathematics in Industry  
In this paper we present a chain of mathematical models that enables the numerical simulation of the airlay process and the investigation of the resulting nonwoven material by means of virtual tensile  ...  The models range from a highly turbulent dilute fiber suspension flow to stochastic surrogates for fiber lay-down and web formation and further to Cosserat networks with effective material laws.  ...  Joachim Binnig and Christopher Schütt from AUTEFA Solutions as well as Olaf Döhring from IDEAL Automotive, for performing measurements, providing data and information about process and fabric and supporting  ... 
doi:10.1186/s13362-016-0034-4 fatcat:jhstftib3fcatheha43pxfl3ia

Stochastic Multiscale Characterization of Short-Fiber Reinforced Composites

M. A. Hickman, P.K. Basu
2016 Technische Mechanik  
In a real-world system the distribution of the fibers may be random, with orientation angle and configuration varying locally.  ...  Stochastic multiscale methods enable the connection of the scales to analyze the effect of randomly distributed short-fiber inclusions on the global response of the system.Randomly generated characteristic  ...  The shape of the debonding enrichment is controlled by φ p .  ... 
doi:10.24352/ub.ovgu-2017-008 fatcat:mssnucjgnfg37cfu3tuie6d7ty

Physics-Informed Machine Learning and Uncertainty Quantification for Mechanics of Heterogeneous Materials [article]

B V S S Bharadwaja, Mohammad Amin Nabian, Bharatkumar Sharma, Sanjay Choudhry, Alankar Alankar
2022 arXiv   pre-print
The effective Young's modulus predicted by PINNs for single representative void and single fiber composites compare very well against the ones predicted by FE, which establishes the PINNs formulation as  ...  Along with governing equations, the associated initial / boundary conditions also softly participate in the loss function.  ...  AA also acknowledges the partial financial support from Aeronautics Research Development Board (ARDB) vide Grant # GTMAP1952 for part of a Computational Facility that was used for this work.  ... 
arXiv:2202.10423v2 fatcat:tynj2t746ngijgupcxv3shlb4e

High-power amplified spontaneous emission pulses with tunable coherence for efficient non-linear processes

Nicolas Valero, Denis Marion, Jerome Lhermite, Jean-Christophe Delagnes, William Renard, Romain Royon, Eric Cormier
2021 Scientific Reports  
An enhanced classical model has been established to reproduce the statistical properties of the source and predict the behaviour when exciting non-linear processes.  ...  of nonlinear processes.  ...  Acknowledgements This work was supported by Agence National de la recherche (ANR) of France and Institut Universitaire de France (IUF).  ... 
doi:10.1038/s41598-021-83443-2 pmid:33649351 fatcat:jgjckfz54zhuhhkhvczgomkyza

Computational and Mathematical Modeling of Angiogenesis

Shayn M. Peirce
2008 Microcirculation  
complex process.  ...  to unresolved questions in the field.  ...  These models explicitly accommodate the randomness associated with biological processes by using probability distributions to dictate the probable outcomes of simulated events [27] .  ... 
doi:10.1080/10739680802220331 pmid:18720228 pmcid:PMC3125711 fatcat:z4qk37fh7bamdcmz34ibyjcpyi

Dynamics of Cell Ensembles on Adhesive Micropatterns: Bridging the Gap between Single Cell Spreading and Collective Cell Migration

Philipp J. Albert, Ulrich S. Schwarz, Feilim Mac Gabhann
2016 PLoS Computational Biology  
The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. importance of the different cellular processes and in the future can be used  ...  Micropatterned substrates are increasingly used to dissect the relative roles of these fundamental processes and to control the resulting dynamics.  ...  Acknowledgments USS is a member of the Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg. Author Contributions  ... 
doi:10.1371/journal.pcbi.1004863 pmid:27054883 pmcid:PMC4824460 fatcat:bs63t4ecdfbyjhcniscmsenbsq

Single-cell absolute contact probability detection reveals chromosomes are organized by multiple low-frequency yet specific interactions

Diego I. Cattoni, Andrés M. Cardozo Gizzi, Mariya Georgieva, Marco Di Stefano, Alessandro Valeri, Delphine Chamousset, Christophe Houbron, Stephanie Déjardin, Jean-Bernard Fiche, Inma González, Jia-Ming Chang, Thomas Sexton (+4 others)
2017 Nature Communications  
PDF is probability density function. Single-cell distributions of physical sizes and Chip-Seq data are shown in Supplementary Figs. 5c, d and 6b , respectively.  ...  Changes in this threshold did not affect our main conclusions. In situ Hi-C data processing and normalization. Hi-C data were processed using an in-house pipeline based on TADbit 61 .  ...  To view a copy of this license, visit http://creativecommons.org/ licenses/by/4.0/.  ... 
doi:10.1038/s41467-017-01962-x pmid:29170434 pmcid:PMC5700980 fatcat:hjwaqyqcsjbhjkmasqqfyokthe

A unicellular walker embodies a finite state machine [article]

Benjamin T Larson, Jack Garbus, Jordan B Pollack, Wallace F Marshall
2021 bioRxiv   pre-print
The set of observed transitions decomposes into a small group of high-probability unbalanced transitions forming a cycle and a large group of low-probability balanced transitions, thus revealing stereotypy  ...  However, the manner in which cells might embody computational processes in a way that the powerful theories of computation, such as finite state machine models, could be productively applied, remains to  ...  This work was supported in part by the I2CELL Seed Award of the Fourmentin-Guilbert Scientific Foundation (to WFM), NIH grant R35 GM130327 (to WFM), NSF grant MCB-2012647 (to WFM), and the Merck Fellowship  ... 
doi:10.1101/2021.02.26.433123 fatcat:x6g6xiikmjhunevtbofqfednli

Systems Approaches to Materials Design: Past, Present, and Future

Raymundo Arróyave, David L. McDowell
2019 Annual review of materials research (Print)  
, optimization, and materials data science and informatics, which are essential to fueling continued progress in systems-based materials design.  ...  We first briefly discuss challenges in framing process-structure-property relationships for materials and the critical role of quantifying uncertainty and tracking its propagation through analysis and  ...  be optimized with actual evaluations of the expensive objective function (data) to construct an update model (posterior) that predicts the outcome of evaluating the objective function over the entire  ... 
doi:10.1146/annurev-matsci-070218-125955 fatcat:7vqlzyueojecrdy5jfca5l4vv4

Single-cell absolute contact probability detection reveals that chromosomes are organized by multiple, low-frequency yet specific interactions [article]

Diego I. I. Cattoni, Andres M. Cardozo Gizzi, Mariya Georgieva, Marco Di Stefano, Alessandro Valeri, Delphine Chamousset, Christophe Houbron, Stephanie Dejardin, Jean-Bernard Fiche, Inma Gonzalez, Jia-Ming Chang, Thomas Sexton (+4 others)
2017 bioRxiv   pre-print
Here, we combined high-content super-resolution microscopies with state-of-the-art DNA labeling methods to reveal the variability in the multiscale organization of the Drosophila genome.  ...  In addition, absolute contact frequencies within and between TADs were to a large extent defined by genomic distance, higher-order chromosome architecture, and epigenetic identity.  ...  (f-g) Population based distribution of epigenetic domains sizes as obtained from dSTORM and predicted from ChiP-seq data for H3K27me3 (f) and H3K4me3(g) . PDF is probability density function.  ... 
doi:10.1101/159814 fatcat:476qybcuifhwha5bo4lz7ldvxe

On modelling of curl in multi-ply paperboard

Gianantonio Bortolin, Per Olof Gutman, Bengt Nilsson
2006 Journal of Process Control  
The model used data from June to September 2004, and shows a general agreement between predicted and measured curvatures.  ...  The data were cleaned from outliers by means of the Hampel filter, a nonlinear moving window filter, and with a model based method.  ...  fiber orientation, density, hygroexpansivity, etc.  ... 
doi:10.1016/j.jprocont.2005.04.012 fatcat:7xceoo3rbfbitnxvpis6tbhhja

Damage Models for Soft Tissues: A Survey

Wenguang Li
2016 Journal of Medical and Biological Engineering  
Damage to soft tissues in the human body has been investigated for applications in healthcare, sports, and biomedical engineering.  ...  The main ideas of damage modeling methods are illustrated and interpreted.  ...  Based on the Ogden-type strain energy function in Eq. (2), the curves were fitted by adjusting the property constants in the strain energy function and the parameters in the probability density function  ... 
doi:10.1007/s40846-016-0132-1 pmid:27441033 pmcid:PMC4935756 fatcat:migz32eybjc35gdky46ehrbrty
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