(2022) An Underwater Topological Waveguide at MHz Frequencies

Concepts of topology recently have been brought to bear on materials designed to control sound waves. Sound wavelengths are much longer than light, making acoustic materials easier to synthesize and their behavior easier to measure. Wisconsin MRSEC researchers are using topological acoustic materials to explore topological physics and enable applications in sensing, communication, and energy transport.

(2022) Computationally Designed Synthesis of Complex Oxide Materials

The useful properties of chemical compounds are determined by the elements from which they are made and the arrangement of the atoms. However, there are often several ways atoms of the same elements can be arranged to form a solid. Wisconsin MRSEC researchers are particularly interested in a series of compounds formed from rare-earth elements and iridium. One phase, Pr2Ir2O7, is of particular interest because it exhibits novel magnetic phenomena and can open new opportunities in the field of quantum materials.

(2022) Speeding the Discovery of Materials Synthesis Techniques using In Situ Synchrotron X-ray Nanobeam Characterization

The creation of novel materials often involves the painstaking and time-consuming synthesis and characterization of a series of samples with small differences. This process is slow and slows the pace of materials innovation. For example, creating sequences of thin layers of metals is an important route to the discovery of new 2D materials for quantum electronics, but it is slowed by the need to explore a large range of thicknesses of the individual layers.

(2022) Student-Industry Seed Projects Teach Essential Skills for Future Success

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.

(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.

(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.