Robust Parameter Design for Automatically Controlled Systems and Nanostructure Synthesis
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Summary
This research focuses on developing comprehensive frameworks for developing robust parameter design methodology for dynamic systems with automatic control and for synthesis of nanostructures.
- Type
- dissertation
- Published
- 2007-06-25
- Cited by
- 12
- References
- 53
- OpenAlex
- https://openalex.org/W1631540392
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:60789295
Keywords
Nanostructure, Computer science, Nanotechnology, Control engineering, Engineering
References
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- Electrodynamics of Solids and Microwave Superconductivity
- Extending the Linear Model with R:Generalized Linear, Mixed Effects and Nonparametric Regression Models, (2nd ed.)
- Design and Modeling for Computer Experiments
- Road Map for the Controlled Synthesis of CdSe Nanowires, Nanobelts, and Nanosaws—A Step Towards Nanomanufacturing
- Self-forming nanoscale devices
- Adaptive Response Surface Method Using Inherited Latin Hypercube Design Points
- Three-dimensional quantum-size effect in chemically deposited cadmium selenide films.
- An Efficient Algorithm for Constructing Bayesian Optimal Choice Designs
- Chemistry and Physics in One Dimension: Synthesis and Properties of Nanowires and Nanotubes
- Statistical Modeling and Analysis for Robust Synthesis of Nanostructures
- Piezoelectric Nanogenerators Based on Zinc Oxide Nanowire Arrays
- Systematic study on experimental conditions for large-scale growth of aligned ZnO nanowires on nitrides.
- Dual-mode mechanical resonance of individual ZnO nanobelts
- Direct-Current Nanogenerator Driven by Ultrasonic Waves
- Nanowire electronic and optoelectronic devices
- Electronic states of semiconductor clusters: Homogeneous and inhomogeneous broadening of the optical spectrum
- Single-crystal CdSe nanosaws.
- An Adaptive Sequential Procedure for Efficient Optimization of the Sheet Metal Spinning Process
- Designs for Computer Experiments
Cited by
- A Review of Statistical Methods for Quality Improvement and Control in Nanotechnology
- A Framework for Initial Experimental Design in the Presence of Competing Prior Knowledge
- Some Optimal and Sequential Experimental Designs with Potential Applications to Nanostructure Synthesis and Beyond
- Initial Experimental Design Methodology Incorporating Expert Conjecture, Prior Data, and Engineering Models for Deposition of Iridium Nanoparticles in Supercritical Carbon Dioxide
- Accelerated process optimization for laser-based additive manufacturing by leveraging similar prior studies
- Sequential experimental design under competing prior knowledge
- Systematic optimization of Laser-based Additive Manufacturing for multiple mechanical properties
- Batch Sequential Minimum Energy Design with Design-Region Adaptation
- Multi-Objective Accelerated Process Optimization of Part Geometric Accuracy in Additive Manufacturing
- Multi-Objective Process Optimization of Additive Manufacturing: A Case Study on Geometry Accuracy Optimization
- Multi-objective accelerated process optimization of mechanical properties in laser-based additive manufacturing: Case study on Selective Laser Melting (SLM) Ti-6Al-4V
- An online approach for robust parameter design with incremental Gaussian process
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