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 20 of 3874 for “"Materials science"”.
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Planetary Materials Science and Astrobiology
Planetary materials contain signatures of diverse processes in their mineralogy, chemistry, textures and assemblages. The record contained in planetary materials reflects the complex and commonly overprinting relationships between many processes. Discerning what mechanisms have operated to produce …
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Machine Learning for Materials Science
… In this thesis, the use of machine learning in materials science is explored, for two different problems: the optimisation of gallium nitride optoelectronic devices, and the prediction of material failure in the setting of laboratory earthquakes. Light emitting diodes based on III-nitrides …
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Improving supervised machine learning for materials science
… applications of machine learning models in materials science, in many cases the performance of machine learning models is not sufficiently accurate enough to meet the needs of materials design. In this thesis, we propose and apply a series of strategies to exam and improve upon the …
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Diffraction phase microscopy for applications in materials science
… recently found tremendous success in the life sciences. QPI utilizes not only the amplitude of the imaging field, but also its phase, in order to provide quantitative topographical and/or refractive index data. As fields from the source interact with the specimen, a fingerprint of the sample’s …
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New Applications of Fluorescence Correlation Spectroscopy in Materials Science
In this work we have developed new concepts for the usage of fluorescence correlation spectroscopy. A classical FCS setup was modified in such a way that fluorescent species in aqueous as well as organic environments can be studied at varying temperature. We have synthesised a set of dye-labelled …
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The application of the Kelvin probe in materials science.
… on the application of the Kelvin probe in materials science and in particular on the study of metal and semiconductor surfaces in both ambient and UHV environments. The concept of the work function φ and its importance as a parameter in materials science is discussed in the context of …
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Materials science appraisal of recycled construction materials for roadways
This thesis reports on a materials science appraisal for recycled construction materials in roadways, that supports engineering decision-making. Inconsistent performance criteria for roadway materials and the variable nature of material source have prompted the need for this research. The aim of …
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Materials science and design for germanium monolithic light source on silicon
… 200 nm from 1550 nm to 1750 nm and a higher net materials gain. We predicted a theoretical lasing threshold current density of 5~10 kA/cm² in the bulk Ge laser device with the n-type doping of mid-10¹⁹ cm-³ at room temperature. We also predicted the Ge laser device would have better temperature …
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Breaking the bottleneck in radiation materials science with transient grating spectroscopy
… environments that present a challenge for the materials engineer. Nuclear materials research and development is a subject of managing constraints: a component must be proven to retain its integrity in the reactor environment for the entirety its operating lifetime, and the material must not …
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NMR Applications in Soft Materials Science: Correlation of Structure, Dynamics, and Transport
… and transport properties of several novel soft materials systems using multiple Nuclear Magnetic Resonance (NMR) methodologies, including solid-state NMR (SSNMR), diffusometry, and imaging, and with the help of X-ray scattering. First, we report the investigation of structure and dynamics of …
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Development of novel bio/nano interfaces for materials science and biomedical applications
… that enable their use in biomedical and materials science applications. MS2 VLPs are perfectly monodisperse and possess a highly regular periodic structure. Their protein capsids can be modified in precise locations via chemical conjugation or genetic display of peptides, and their …
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Adaptive heterogeneous parallelism for semi-empirical lattice dynamics in computational materials science.
With the variability in performance of the multitude of parallel environments available today, the conceptual overhead created by the need to anticipate runtime information to make design-time decisions has become overwhelming. Performance-critical applications and libraries carry implicit …
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Benchmarking the Performance of Bayesian Optimization across Multiple Experimental Materials Science Domains
Traditionally, experimental materials optimization has used design of experiments or intuition, combined with in-depth characterization. While these methods have obtained success over the years, they are facing increasing challenges today in the face of complex aggregated systems with larger design …
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Materials science approach to characterization and prediction of sensory texture in confectionary systems
The food industry faces many challenges when attempting to formulate new or reformulate existing products to reduce sugar content. This problem is particularly pronounced in confectionary systems, such as caramels, in which sugar contributes the majority of sensory (i.e., sweetness, flavor, …
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Life-cycle analysis of hazardous chemicals in the Department of Materials Science & Engineering
… with research groups within the Department of Materials Science & Engineering (DMSE). These revealed that the largest variables were the number of chemicals used by the lab and the user-friendliness of the software. The initial time investment to switch from current, simpler methods to …
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Domain Adaptation of LLMs for Materials Science: Dataset Curation, Fine-Tuning, and Evaluation Benchmark
… models (LLMs) and the specialized needs of materials science. While LLMs have shown transformative potential in many fields, their application in materials science remains limited due to the lack of domain-specific natural language datasets and evaluation benchmarks. To overcome this …
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Quantitative High-angle Annular Dark Field Scanning Transmission To Electron Microscopy For Materials Science
… has been widely used for characterization of materials; to identify micro- and nano-structures within a sample and to analyze crystal and defect structures. High-angle annular dark field (HAADF) STEM imaging using atomic number (Z) contrast has proven capable of resolving atomic structures …
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The Helium-Ion-Microscope Secondary-Ion-Mass-Spectrometer: A New Tool for Earth and Materials Science
… A New Tool for Earth and Materials Science - Matthew Ball Geological materials are exceptionally complex, with heterogeneity across all lengthscales. Likewise, the history of these materials is complex, experiencing extremes of pressure and temperature from nanosecond shock …
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Data-driven approaches for complex systems: leveraging machine learning, materials science, and manufacturing for new biomedical technologies
… systems at the interface of machine learning, materials science, and manufacturing. Specifically, I demonstrate the data-driven description of supervised machine learning for biomedical engineering tasks, the data-driven design of optimized soft granular biomaterials, and the proof-of-concept …
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Genetic Algorithms and Genetic Programming for Multiscale Modeling: Applications in Materials Science and Chemistry and Advances in Scalability
Finally, facetwise models are developed to explore limitations of scalability of MOGAs, where the scalability of multiobjective algorithms in reliably maintaining Pareto-optimal solutions is addressed. The results show that even when the building blocks are accurately identified, massive …
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