Preparing students for careers inside and outside academia is a key mission for the Wisconsin MRSEC and its Advanced Materials Industrial Consortium (AMIC). AMIC sponsors student-led seed research projects to help students learn essential skills. AMIC companies suggest project areas, then company engineers work with MRSEC students to develop research proposals that leverage the student’s expertise. The AMIC Board selects projects, and students lead the resulting research, managing the budget, junior personnel like undergraduates, and reporting. Company engineers mentor the student leaders.
2017 – 2023 Posts
(2022) Bringing Science Home with Free Activity Kits
In response to the COVID-19 pandemic, the Wisconsin MRSEC developed and disseminated inclusive science activity kits. The project started in partnership with a local food pantry as an effort to engage with economically disadvantaged members of the Madison community. Food pantry staff and clients provided crucial insight to make the kits accessible and inclusive, such as including all the necessary materials including common household items like tape and including instructions in Spanish and English.
(2022) A Teacher Inspired by Her MRSEC RET Program Experience Develops Her Own Research Experience
Jamie Lauer, a Wisconsin (WI) high school teacher, participated in the MRSEC’s cross-cultural Research Experiences for Teachers (RET) program in 2019 and 2021. The program is run in collaboration with the University of Puerto Rico at Mayagüez (UPRM) to give teachers in WI and PR authentic research experiences in labs at UPRM and in MRSEC. During the 2019 RET capstone week, Jamie traveled to PR where she learned about the geography, culture and educational systems of the island. During the virtual 2021 program, Jamie learned about the native Taino people of PR.
(2022) Nanoscale Oxide Solid Phase Epitaxy
The crystallization of complex oxides can be templated by a crystalline seed. Nanoscale crystallization environments lead to the possibility that this process can be employed to create precise arrays of nanoscale materials for electronic, magnetic, and optical applications.
(2021) Low Temperature Properties of Glass and its Connection to Glass Stability
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Janicki Wins WISL Award for Communicating PhD Research to the Public
Recent Chemistry doctoral graduate, Tesia Janicki, was awarded the Wisconsin Initiative for Science Literacy (WISL) Award for Communicating PhD Research to the Public. Her chapter in her PhD thesis, “Atomistic computational approaches in molecular models and inorganic crystallization,” is a series of cartoons explaining key concepts of chemistry and of Janicki’s doctoral work.
Free, Informative Online Workshop: “Enhancing Undergraduate Research with Machine Learning”
Please join us for a free, informative online workshop “Enhancing Undergraduate Research with Machine Learning” on Saturday, October 22 from 11 am -1 pm (CT).
(2021) New Insights into Surface Diffusion on Glasses
Understanding how atoms move is fundamental to making and using materials. Atoms on the surface of some glasses move at nearly the same rate as atoms on the inside. But for other glasses, surfaces atoms move a million times faster. Researchers in the Wisconsin MRSEC IRG 1 have combined experiments, simulations, and data-centric methods to understand why some surfaces are so much faster than others. They found that atoms in glasses move by breaking out of a “cage” of nearby atoms. On the surface, that cage can be weaker than inside the glass, allowing for faster motion. They also discovered a relationship that predicts surface motion from more accessible data about bulk motion. Their results unify behavior for glasses of organic molecules, metals, and oxides and make creating glasses for applications like light-emitting diodes, quantum computers, and hard coatings easier.
(2021) Use Machine Learning to Link Atomic Structure with Glass Properties and Behaviors
Glasses have disordered arrangements of atoms without the repeating patterns that crystals have. However, there are small-scale patterns of atoms that touch each other that strongly affect the energy of the glass, how the atoms move when they get hot, and other properties like strength and response to an electric field. Unfortunately, there are many possible patterns and many slight variations of each one, so studying them is like sorting the grains of sand on a beach by size and color by hand–it’s an impossible task. Wisconsin MRSEC IRG 1 uses machine learning to sort the sand. They have developed algorithms to find small-scale atomic patterns in large simulations of glasses and link them to the glass’ energy. Ongoing studies have connected patterns to atomic motions, which provides a path to simulations of glasses over long times and low temperatures that are currently impossible.
Wisconsin MRSEC Researchers Develop New Cutting-Edge Tool for Materials Discovery
A team of researchers from the Wisconsin Materials Research Science and Education Center (MRSEC) at the University of Wisconsin–Madison has designed, constructed, and implemented a new, highly specialized piece of research equipment that can be used to visualize the real-time formation and growth of tiny crystals of novel materials. The unique perspective provided by this approach provides access to new ways to discover and develop materials relevant to electronics, optics, and magnetic applications.