actively enrolling - could be fully remote: AI & Machine Learning in Electron Microscopy: AI/ML in electron microscopy images analysis: nanostructures recognition and characterization. Coding experience is not required but desired. (interdisciplinary with CSE co-advisor Mr. Downing (remotely via Zoom)
Expo poster can be seen here. Colloquia presentation is available on YouTube, see the link ASDRP research presentations page!
actively enrolling - could be partially remote: Toward Tabor factor determination in copper or mechanical properties forecast from localized hardness measurements: mechanical strength (UTS) estimate based on hardness measurements (HV). Hands-on etching, optical microscopy, some elements of CAD and 3D printing. Expo poster can be seen here.
actively enrolling - could be partially remote: 3D printed materials (PLA) mechanical properties evaluation: testing for mechanical properties in with different print parameters. 3D or bulk? CAD, machining, optical microscopy and 3D-printing: Expo poster can be seen here.
(actively enrolling - could be partially remote: ) Interfacial free energy evaluation or dihedral angle measurements of twin boundaries in FCC alloys: Etching Experiments + Optical microscopy+3Dprint modelling. Colloquia presentation is available on YouTube, see the link ASDRP research presentations page!
Can you tell the difference between chemistry and physics?
How about biology and chemistry?
Join my group and you will be able to explain it to other people!
All my projects may span across multiple departments, offering an interdisciplinary experience with applications in machine leaning, remote access, semiconductor industry, failure analysis, additive manufacturing, environmental studies and infrastructure materials.
The projects are hands-on and conducted in person. Participants will gain practical skills in preparing samples for microscopy and mechanical testing investigations, utilizing various methods of materials characterization such as Optical, Electron, and Atomic Force Microscopy, among others. Additionally, participants will be engaged in image and data analysis. No prior knowledge of physics or experience in running scientific instrumentation is required; however, a keen interest in physics and engineering can be highly beneficial.
I am looking for individuals with a strong desire to apply themselves and a commitment to the chosen project. If the data produced meets high-quality standards, participants will be acknowledged as co-authors in future publications, see the page of publications. If this opportunity excites you, please apply via ASDRP portal or email me for further details nataliya.starostina@asdrp.org