Bayesian Optimization for Materials Design with Mixed Quantitative and Qualitative Variables
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Wei Chen | Yichi Zhang | Daniel Apley | Wei Chen | D. Apley | Yichi Zhang
[1] Matthias Poloczek,et al. Efficient search of compositional space for hybrid organic–inorganic perovskites via Bayesian optimization , 2018, npj Computational Materials.
[2] Deborah F. Swayne,et al. Data Visualization With Multidimensional Scaling , 2008 .
[3] Ker-Chau Li,et al. Sliced Inverse Regression for Dimension Reduction , 1991 .
[4] Eric Walter,et al. Global optimization based on noisy evaluations: An empirical study of two statistical approaches , 2008 .
[5] Sonja Kuhnt,et al. Design and analysis of computer experiments , 2010 .
[6] Salvatore Torquato,et al. STATISTICAL DESCRIPTION OF MICROSTRUCTURES , 2002 .
[7] D. Griffin,et al. Finite-Element Analysis , 1975 .
[8] Hongyi Xu. A Machine Learning-Based Design Representation Method for Designing Heterogeneous Microstructures , 2014, DAC 2014.
[9] Thomas Hochkirchen. Design and Modeling for Computer Experiments by K.-T. Fang, R. Li and A. Sudjianto , 2006 .
[10] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[11] Weihong Zhang,et al. Shape, sizing optimization and material selection based on mixed variables and genetic algorithm , 2011 .
[12] R. Cook,et al. Sufficient Dimension Reduction via Inverse Regression , 2005 .
[13] Peter Z. G. Qian,et al. Gaussian Process Models for Computer Experiments With Qualitative and Quantitative Factors , 2008, Technometrics.
[14] Wei Chen,et al. Perspective: NanoMine: A material genome approach for polymer nanocomposites analysis and design , 2016 .
[15] R. K. Rowe,et al. Additive Gaussian Process for Computer Models With Qualitative and Quantitative Factors , 2017, Technometrics.
[16] Wei Chen,et al. Descriptor-based methodology for statistical characterization and 3D reconstruction of microstructural materials , 2014 .
[17] Wei Chen,et al. Microstructure reconstruction and structural equation modeling for computational design of nanodielectrics , 2015, Integrating Materials and Manufacturing Innovation.
[18] James Theiler,et al. Adaptive Strategies for Materials Design using Uncertainties , 2016, Scientific Reports.
[19] Muratahan Aykol,et al. Materials Design and Discovery with High-Throughput Density Functional Theory: The Open Quantum Materials Database (OQMD) , 2013 .
[20] Runze Li,et al. Design and Modeling for Computer Experiments , 2005 .
[21] Nando de Freitas,et al. Taking the Human Out of the Loop: A Review of Bayesian Optimization , 2016, Proceedings of the IEEE.
[22] Cheng Li,et al. Rapid Bayesian optimisation for synthesis of short polymer fiber materials , 2017, Scientific Reports.
[23] D. Ginsbourger,et al. A benchmark of kriging-based infill criteria for noisy optimization , 2013, Structural and Multidisciplinary Optimization.
[24] J. Dennis,et al. Mixed Variable Optimization of the Number and Composition of Heat Intercepts in a Thermal Insulation System , 2001 .
[25] Wei Chen,et al. Toward the development of a quantitative tool for predicting dispersion of nanocomposites under non-equilibrium processing conditions , 2016, Journal of Materials Science.
[26] Thomas K. Gaylord,et al. Stable implementation of the rigorous coupled-wave analysis for surface-relief gratings: enhanced transmittance matrix approach , 1995 .
[27] Yulei Zhang,et al. Computer Experiments with Qualitative and Quantitative Variables: A Review and Reexamination , 2015 .
[28] J. Sacks,et al. Analysis of protein activity data by Gaussian stochastic process models. , 1999, Journal of biopharmaceutical statistics.
[29] M. Abramson. Mixed Variable Optimization of a Load-Bearing Thermal Insulation System Using a Filter Pattern Search Algorithm , 2004 .
[30] Daniel W. Apley,et al. Lifted Brownian Kriging Models , 2017, Technometrics.
[31] Chen Wang,et al. Design of Non-Deterministic Quasi-random Nanophotonic Structures Using Fourier Space Representations , 2017, Scientific Reports.
[32] Lifeng Li,et al. New formulation of the Fourier modal method for crossed surface-relief gratings , 1997 .
[33] Wei Chen,et al. A Latent Variable Approach to Gaussian Process Modeling with Qualitative and Quantitative Factors , 2018, Technometrics.
[34] G. Pazour,et al. Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness , 2017, Scientific Reports.
[35] Takashi Miyake,et al. Crystal structure prediction accelerated by Bayesian optimization , 2018 .
[36] Teri W. Odom,et al. Characterization and Design of Functional Quasi-Random Nanostructured Materials Using Spectral Density Function , 2016, DAC 2016.
[37] M. Orio,et al. Density functional theory , 2009, Photosynthesis Research.
[38] Yang Zhang,et al. The classical correlation limits the ability of the measurement-induced average coherence , 2017, Scientific Reports.
[39] Jeong‐Soo Park. Optimal Latin-hypercube designs for computer experiments , 1994 .
[40] Deborah L. McGuinness,et al. NanoMine schema: An extensible data representation for polymer nanocomposites , 2018, APL Materials.