Cargando…

Development of a Hybrid Intelligent Process Model for Micro-Electro Discharge Machining Using the TTM-MDS and Gaussian Process Regression

This paper proposed a hybrid intelligent process model, based on a hybrid model combining the two-temperature model (TTM) and molecular dynamics simulation (MDS) (TTM-MDS). Combined atomistic-continuum modeling of short-pulse laser melting and disintegration of metal films [Physical Review B, 68, (0...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Yanyan, Guo, Xudong, Zhang, Guojun, Cao, Yang, Shen, Dili, Li, Xiaoke, Zhang, Shengfei, Ming, Wuyi
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9227863/ https://www.ncbi.nlm.nih.gov/pubmed/35744458 http://dx.doi.org/10.3390/mi13060845

Ejemplares similares

Regression with Gaussian Processes
por: Kalia, Saarik
Publicado: (2016)

Gaussian Process Regression for Materials and Molecules
por: Deringer, Volker L., et al.
Publicado: (2021)

Gaussian process regression analysis for functional data
por: Shi, Jian Qing, et al.
Publicado: (2011)

Splitting Gaussian processes for computationally-efficient regression
por: Terry, Nick, et al.
Publicado: (2021)

Gaussian process regression for ultrasound scanline interpolation
por: Degirmenci, Alperen, et al.
Publicado: (2022)

Estimation of Clustering Parameters Using Gaussian Process Regression
por: Rigby, Paul, et al.
Publicado: (2014)

The pitfalls of using Gaussian Process Regression for normative modeling
por: Xu, Bohan, et al.
Publicado: (2021)

Correlated product of experts for sparse Gaussian process regression
por: Schürch, Manuel, et al.
Publicado: (2023)

TTM 2.0
por: Storm, Christian
Publicado: (2015)

Progress in Non-Traditional Processing for Fabricating Superhydrophobic Surfaces
por: Shen, Dili, et al.
Publicado: (2021)

Detecting differential growth of microbial populations with Gaussian process regression
por: Tonner, Peter D., et al.
Publicado: (2017)

Gaussian Process Regression Plus Method for Localization Reliability Improvement
por: Liu, Kehan, et al.
Publicado: (2016)

Accelerating multiscale modelling of fluids with on-the-fly Gaussian process regression
por: Stephenson, David, et al.
Publicado: (2018)

Prediction of Bus Passenger Traffic using Gaussian Process Regression
por: G S, Vidya, et al.
Publicado: (2022)

Efficient inference of synaptic plasticity rule with Gaussian process regression
por: Chen, Shirui, et al.
Publicado: (2023)

Wireless Indoor Localization Using Convolutional Neural Network and Gaussian Process Regression
por: Zhang, Guolong, et al.
Publicado: (2019)

Relative cooling power modeling of lanthanum manganites using Gaussian process regression
por: Zhang, Yun, et al.
Publicado: (2020)

A novel correlation Gaussian process regression-based extreme learning machine
por: Ye, Xuan, et al.
Publicado: (2023)

Revisiting Gaussian Process Regression Modeling for Localization in Wireless Sensor Networks
por: Richter, Philipp, et al.
Publicado: (2015)

Gaussian Process Regression Tuned by Bayesian Optimization for Seawater Intrusion Prediction
por: Kopsiaftis, George, et al.
Publicado: (2019)

Localization Reliability Improvement Using Deep Gaussian Process Regression Model
por: Teng, Fei, et al.
Publicado: (2018)

Adaptive Bayesian credible bands in regression with a Gaussian process prior
por: Sniekers, Suzanne, et al.
Publicado: (2019)

Stiffness estimation of planar spiral spring based on Gaussian process regression
por: Liu, Jingjing, et al.
Publicado: (2022)

Gaussian Process Regression Models for Predicting Atomic Energies and Multipole Moments
por: Burn, Matthew J., et al.
Publicado: (2023)

Gaussian processes
por: Hitsuda, Masuyuki, et al.
Publicado: (1993)

Common physiological responses during TTM
por: Geri, Guillaume, et al.
Publicado: (2015)

Smart Soft Sensor Design with Hierarchical Sampling Strategy of Ensemble Gaussian Process Regression for Fermentation Processes
por: Sheng, Xiaochen, et al.
Publicado: (2020)

Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data
por: Kirk, Paul D. W., et al.
Publicado: (2009)

Gaussian Process Regressions for Inverse Problems and Parameter Searches in Models of Ventricular Mechanics
por: Di Achille, Paolo, et al.
Publicado: (2018)

A Gaussian process regression model to predict energy contents of corn for poultry
por: Baiz, Abbas Abdullah, et al.
Publicado: (2020)

Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression
por: Salinero-Delgado, Matías, et al.
Publicado: (2021)

Gaussian Process Regression for Data Fulfilling Linear Differential Equations with Localized Sources †
por: Albert, Christopher G., et al.
Publicado: (2020)

An Extended Kalman Filter for Magnetic Field SLAM Using Gaussian Process Regression
por: Viset, Frida, et al.
Publicado: (2022)

Comprehensive Modeling in Predicting Biodiesel Density Using Gaussian Process Regression Approach
por: Wang, Bingxian, et al.
Publicado: (2021)

Construction of a Gaussian Process Regression Model of Formamide for Use in Molecular Simulations
por: Brown, Matthew L., et al.
Publicado: (2023)

Validating the Use of Gaussian Process Regression for Adaptive Mapping of Residual Stress Fields
por: Fancher, Chris M., et al.
Publicado: (2023)

Heteroscedastic sparse Gaussian process regression-based stochastic material model for plastic structural analysis
por: Chen, Baixi, et al.
Publicado: (2022)

Three-Dimensional Measurement Method of Four-View Stereo Vision Based on Gaussian Process Regression
por: Gong, Miao, et al.
Publicado: (2019)

Lectures on gaussian processes
por: Lifshits, Mikhail
Publicado: (2012)

Gaussian random processes
por: Ibragimov, I A, et al.
Publicado: (1978)

Cannot write session to /tmp/vufind_sessions/sess_iuaq18gmp954eb6fg9jmgjjshu