Cargando…

Efficient Bayesian Function Optimization of Evolving Material Manufacturing Processes

The scale-up of laboratory procedures to industrial production is the main challenge standing between ideation and the successful introduction of novel materials into commercial products. Retaining quality while ensuring high per-batch production yields is the main challenge. Batch processing and ot...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rubín de Celis Leal, David, Nguyen, Dang, Vellanki, Pratibha, Li, Cheng, Rana, Santu, Thompson, Nathan, Gupta, Sunil, Pringle, Keiran, Subianto, Surya, Venkatesh, Svetha, Slezak, Teo, Height, Murray, Sutti, Alessandra
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Chemical Society 2019
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6906790/ https://www.ncbi.nlm.nih.gov/pubmed/31858042 http://dx.doi.org/10.1021/acsomega.9b02439

Ejemplares similares

Rapid Bayesian optimisation for synthesis of short polymer fiber materials
por: Li, Cheng, et al.
Publicado: (2017)

Optimizing a High-Entropy System: Software-Assisted Development of Highly Hydrophobic Surfaces using an Amphiphilic Polymer
por: Subianto, Surya, et al.
Publicado: (2019)

Level Set Estimation with Search Space Warping
por: Senadeera, Manisha, et al.
Publicado: (2020)

Personalized single-cell networks: a framework to predict the response of any gene to any drug for any patient
por: Harikumar, Haripriya, et al.
Publicado: (2021)

Identification of predictors and model for predicting prolonged length of stay in dengue patients
por: Shahid Ansari, Md., et al.
Publicado: (2021)

A framework for feature extraction from hospital medical data with applications in risk prediction
por: Tran, Truyen, et al.
Publicado: (2014)

Is Demography Destiny? Application of Machine Learning Techniques to Accurately Predict Population Health Outcomes from a Minimal Demographic Dataset
por: Luo, Wei, et al.
Publicado: (2015)

Application of Machine Learning Techniques to Identify Data Reliability and Factors Affecting Outcome After Stroke Using Electronic Administrative Records
por: Rana, Santu, et al.
Publicado: (2021)

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View
por: Luo, Wei, et al.
Publicado: (2016)

Composite Electrolyte Membranes from Partially Fluorinated Polymer and Hyperbranched, Sulfonated Polysulfone
por: Subianto, Surya, et al.
Publicado: (2013)

Randomised controlled trial of an iPad based early intervention for autism: TOBY playpad study protocol
por: Granich, Joanna, et al.
Publicado: (2016)

Water-Reprocessable, Reformable, and Ecofriendly Sustainable Material Based on Disulfide-Cross-Linked Polyethyleneimine
por: Subianto, Surya, et al.
Publicado: (2017)

Geolocated Twitter-based population mobility in Victoria, Australia, during the staged COVID-19 restrictions
por: Nguyen, Thin, et al.
Publicado: (2023)

Bayesian Parameter Identification for Turing Systems on Stationary and Evolving Domains
por: Campillo-Funollet, Eduard, et al.
Publicado: (2018)

Toward clinical digital phenotyping: a timely opportunity to consider purpose, quality, and safety
por: Huckvale, Kit, et al.
Publicado: (2019)

Thirty Years of Medicare: A Personal Reflection on Medicare's Impact on Black Americans
por: Height, Dorothy I.
Publicado: (1996)

Identification of genetic interaction networks via an evolutionary algorithm evolved Bayesian network
por: Li, Ruowang, et al.
Publicado: (2016)

Digital Twin for Training Bayesian Networks for Fault Diagnostics of Manufacturing Systems
por: Ademujimi, Toyosi, et al.
Publicado: (2022)

Bait‐ER: A Bayesian method to detect targets of selection in Evolve‐and‐Resequence experiments
por: Barata, Carolina, et al.
Publicado: (2022)

Deep in the Bowel: Highly Interpretable Neural Encoder-Decoder Networks Predict Gut Metabolites from Gut Microbiome
por: Le, Vuong, et al.
Publicado: (2020)

The evolving landscape of prostate cancer somatic mutations
por: Cotter, Kellie, et al.
Publicado: (2022)

Hidden Markov induced Dynamic Bayesian Network for recovering time evolving gene regulatory networks
por: Zhu, Shijia, et al.
Publicado: (2015)

ProteinEvolverABC: coestimation of recombination and substitution rates in protein sequences by approximate Bayesian computation
por: Arenas, Miguel
Publicado: (2021)

Forecasting Daily Patient Outflow From a Ward Having No Real-Time Clinical Data
por: Gopakumar, Shivapratap, et al.
Publicado: (2016)

Cancer as a Tissue Anomaly: Classifying Tumor Transcriptomes Based Only on Healthy Data
por: Quinn, Thomas P., et al.
Publicado: (2019)

Predicting Risk of Suicide Attempt Using History of Physical Illnesses From Electronic Medical Records
por: Karmakar, Chandan, et al.
Publicado: (2016)

Test Methods for Characterizing the Properties of Fiber-Reinforced Polymer Composites at Elevated Temperatures
por: Kodur, Venkatesh, et al.
Publicado: (2022)

Bayesian data analysis
por: Gelman, Andrew, et al.
Publicado: (2004)

Bayesian strategy selection identifies optimal solutions to complex problems using an example from GP prescribing
por: Allender, S., et al.
Publicado: (2020)

Screening for post 32-week preterm birth risk: how helpful is routine perinatal data collection?
por: Luo, Wei, et al.
Publicado: (2016)

Stability, Consistency and Performance of Distribution Entropy in Analysing Short Length Heart Rate Variability (HRV) Signal
por: Karmakar, Chandan, et al.
Publicado: (2017)

Evolving adrenal insufficiency
por: Roy, Ajitesh, et al.
Publicado: (2012)

Polymeric Ionic Liquid Nanoparticle Emulsions as a Corrosion Inhibitor in Anticorrosion Coatings
por: Taghavikish, Mona, et al.
Publicado: (2016)

Detection of epileptic seizure based on entropy analysis of short-term EEG
por: Li, Peng, et al.
Publicado: (2018)

DeepTRIAGE: interpretable and individualised biomarker scores using attention mechanism for the classification of breast cancer sub-types
por: Beykikhoshk, Adham, et al.
Publicado: (2020)

Intelligent Sensing to Inform and Learn (InSTIL): A Scalable and Governance-Aware Platform for Universal, Smartphone-Based Digital Phenotyping for Research and Clinical Applications
por: Barnett, Scott, et al.
Publicado: (2019)

Fire Resistance Evaluation of Concrete Beams and Slabs Incorporating Natural Fiber-Reinforced Polymers
por: Kodur, Venkatesh, et al.
Publicado: (2023)

Bayesian data analysis
por: Gelman, Andrew, et al.
Publicado: (2014)

Impar Ganglion Block with Combination of Neurolysis Drugs and Radiofrequency Thermocoagulation for Perineal Pain
por: Turchan, Agus, et al.
Publicado: (2018)

Residual risks and evolving atherosclerotic plaques
por: Noothi, Sunil K., et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_3ttnmkbti3iftvmed451vu57ef