Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"Autonomous Experimentation"”.
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Autonomous experimentation for molecular discovery applications
Automated experimental systems, which provide a means to accelerate scientific research and the discovery of application-driven materials, are specialized and limited in scope. The inability to pivot to new research areas has driven a shift in design to create generalized systems and incorporate …
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Autonomous Experimentation to Accelerate Boiling Heat Transfer Research
… a crucial step toward implementing intelligent, autonomous experiments. Further, leveraging explainable AI models, a hypothesis-free data-driven methodology was developed to elucidate the importance of fundamental boiling parameters in predicting the boiling crisis. The analysis revealed that …
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Continuous flow synthesis of colloidal semiconductor nanocrystals: towards autonomous experimentation for accelerated material discovery
… This dissertation focuses on developing an autonomous flow synthesis approach that enables accelerated screening of synthesis recipes, while also providing key kinetic insights into the underlying chemistry. In Chapter 2, a modular millifluidic reactor that leverages precise control over …
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An artificial experimenter for automated response characterisation
… these interactions can only occur through experimentation. However, the size and dimensionality of the available experiment parameter spaces far outsize the resources typically available to investigate them, creating a restriction on the knowledge acquisition possible. To address this …
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Applied Machine Learning for Electrocatalysis
… methods for data-driven catalyst discovery and autonomous experimentation.
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Deep Learning For Surrogate Modeling And Uncertainty Quantification In Science & Engineering
… design optimization, uncertainty analysis, and autonomous experimentation. However, scientific surrogates are often deployed in data-scarce and extrapolative regimes, where predictive accuracy alone is insufficient. Reliable uncertainty quantification and appropriate inductive biases are …
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Automated Segmentation and Analysis of High-Speed Video Phase-Detection Data for Boiling Heat Transfer Characterization Using U-Net Convolutional Neural Networks and Uncertainty Quantification
… to domain shifts. This is crucial for enabling autonomous experimentation and reducing the reliance on specialized models for each fluid and operating condition. Future research directions are outlined, including the investigation of advanced uncertainty quantification techniques, the …
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Knowledge-guided Machine Learning for Sensor-based High-Performance Autonomous Material Characterization
… to the time- and resource-intensive nature of experimentation and the limited budget imposed on autonomous experimentation workflows in practical applications, the data generated from accelerated material discovery workflows are usually sparse and imbalanced, challenging the construction and …
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Smart Re-Manufacturing of Recycled Plastics and Polymers using Sensor-based and High-throughput Experimentation Formats
… experimental tools and processes, such as for autonomous experimentation. While progress has been made in several material domains, including electronic and soft materials, relative less work has been done in the area of recycled plastics and polymers, such as for diverse materials, including …