[Book] Case Studies of Bayesian Optimization (No. 2286)
[Available for trial reading] Material exploration / Property prediction / Optimization of formulation and process conditions
★ Explanation of the selection and determination points for multiple material properties related to objective and explanatory variables! －－－－－－－－－－－－－－－－－－－－－ ■ Key Points of This Book Exploration of new materials, automation and acceleration of formulation design - Optimization of multiple material composition ratios - Extraction of desired material properties from limited experimental data - Improvement of model accuracy through descriptor selection - Discovery of unknown components through the fusion of domain knowledge Practical informatics for process and equipment development - Quantification of the tacit knowledge of experienced engineers - Setting the exploration space and selecting initial data - Measures against temperature changes, equipment variability, measurement errors, etc. - Detailed explanation of tips for choosing surrogate models Utilization and operational examples - Monomer sequences of biodegradable polymers - Prediction of tensile strength of synthetic rubber - Development of CO₂ resource recycling catalysts - Development of low-temperature manufacturing processes for ceramics - Exploration and selection of pharmaceutical additives formulations
basic information
■ Table of Contents Chapter 1: Principles of Bayesian Optimization and Parameter Control, and Its Applications Chapter 2: Applications of Bayesian Optimization in the Synthesis and Development of Polymer Materials and Organic Compounds Chapter 3: Utilization of Bayesian Optimization in Ceramics and Glass Materials, Material Exploration, and Property Prediction Chapter 4: Structural Exploration and Process Condition Optimization of Metal Materials Using Bayesian Optimization Chapter 5: Application of Bayesian Optimization in Pharmaceuticals and Biotechnology Chapter 6: Utilization of Bayesian Optimization for Process Design, Synthesis Conditions, and Equipment Design Optimization －－－－－－－－－－－－－－－－－－－－－ ● Publication Date: March 31, 2025 ● Format: A4, 424 pages ● Authors: 54 individuals ● ISBN: 978-4-86798-066-8 －－－－－－－－－－－－－－－－－－－－－
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88,000 yen (including tax) [shipping included] Various discount programs are available. Please contact us.
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P2
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P2
Model number/Brand name
2286 Bayesian Optimization
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