Stefan Bringuier
Stefan Bringuier
Materials Scientist and Enthusiast
Materials Scientist and Enthusiast
🎓Education
Ph.D. Materials Science and Engineering, University of Arizona, 2015.🎓Education
M.S. Materials Science and Engineering, University of Arizona, 2011.
B.S. Materials Engineering, San Jose State University, 2010.
This website is intended as a personal hub to link and connect my past (and some current) research, projects, and scientific interests to a wider audience. It aims to feature content and links that reflect my scientific expertise and other areas of interest. I intend to share my ideas, scripts, and physics-based simulation codes on platforms like GitHub. Additionally, links to my write-ups, presentations, and blogs, which document my ongoing personal research and educational efforts, will be posted here. Thanks for your interest!
This website is intended as a personal hub to link and connect my past (and some current) research, projects, and scientific interests to a wider audience. It aims to feature content and links that reflect my scientific expertise and other areas of interest. I intend to share my ideas, scripts, and physics-based simulation codes on platforms like GitHub. Additionally, links to my write-ups, presentations, and blogs, which document my ongoing personal research and educational efforts, will be posted here. Thanks for your interest!
🧑🔬 About Me & Interest
🧑🔬 About Me & Interest
I hold advanced degrees in materials science and engineering and am an industry scientist/researcher dedicated to advancing the field and technology. My personal interests span materials science, computational techniques, quantum physics, robotics, AI/ML and informatics. My expertise is leveraged to support the characterization, discovery, and design of materials through modeling, automation, and materials informatics.
I hold advanced degrees in materials science and engineering and am an industry scientist/researcher dedicated to advancing the field and technology. My personal interests span materials science, computational techniques, quantum physics, robotics, AI/ML and informatics. My expertise is leveraged to support the characterization, discovery, and design of materials through modeling, automation, and materials informatics.
I've worked in various sectors including materials for defense, energy, and semiconductors. This included looking at high-temperature ceramics, refractory alloys, thin films, cementitious materials, and have worked on several other materials systems.
I've worked in various sectors including materials for defense, energy, and semiconductors. This included looking at high-temperature ceramics, refractory alloys, thin films, cementitious materials, and have worked on several other materials systems.
In my free time, I spend some effort in multiferroic materials, which are extremely intriguing because significant engineering is needed to improve coupling factors and temperature stability to make them technologically useful. Recently, I've been dabbling in neuroscience and reading literature on neuromorphic materials and more generally analog computing. Thermodynamic computing is also on my radar! In the past, I've been interested in materials engineering techniques for quantum hardware (e.g. qubits), and the application of quantum computing to chemistry and materials science problems.
In my free time, I spend some effort in multiferroic materials, which are extremely intriguing because significant engineering is needed to improve coupling factors and temperature stability to make them technologically useful. Recently, I've been dabbling in neuroscience and reading literature on neuromorphic materials and more generally analog computing. Thermodynamic computing is also on my radar! In the past, I've been interested in materials engineering techniques for quantum hardware (e.g. qubits), and the application of quantum computing to chemistry and materials science problems.
Aside from materials research I also spend a great deal of time focusing on tooling and utilities. This includes leveraging machine learning frameworks, NN architectures and Bayesian methods. I also have a huge interest in self-driving labs, which combine data science, AI, and robotics.
Aside from materials research I also spend a great deal of time focusing on tooling and utilities. This includes leveraging machine learning frameworks, NN architectures and Bayesian methods. I also have a huge interest in self-driving labs, which combine data science, AI, and robotics.