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Internal Advisory Council: Promoting the Student Perspective
The CEM Student Internal Advisory Council advises CEM in the interests of students and postdocs and organizes technical and team-building events.
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Optical Excited States in a Moiré Crystal
In transition metal dichalcogenides (TMDC) monolayers, there are two inequivalent valleys (energy extrema points in the band structure) related by time-reversal symmetry. Fundamental optical excitations, or excitons (bound electron-hole pairs) are formed at these valleys.
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DNA-inspired switchable synthetic morphologies
A novel strategy offers new opportunities to program dynamic behaviors in synthetic polymeric systems, leading to scalable synthesis of “smart” nanosystems. Novel PMMA strand-exchange, inspired by DNA nanotechnologies, enables dynamic behaviors in synthetic polymeric systems. Polymer assembly produces spherical or wormlike micelles, which can be reversibly switched between different morphologies.
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New Configuration Transitions of Nematic Liquid Crystals in Drops Induced by Magnetic Fields
IRG-3 researchers Yodh, Kikkawa and Collings made a significant discovery about the behavior of liquid crystals (LCs) in droplets exposed to a magnetic field. LCs are unique materials that flow like liquids but also have some order (orientational order) like crystals. In this study, the researchers focused on a specific type of LC phase called a nematic. Field-induced “switching” of nematic liquid crystals (NLCs) in planar geometries is the basis of LC displays. Here, NLCs were put in spherical drops with special molecules (surfactants) on the drop surface that align the molecules, or NLC director, perpendicular to the droplet surface and force a topological hedgehog defect to form at the drop center. Field-induced switching in this case differs fundamentally from the planar cells due to confinement geometry and the topological defect.
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An efficient material search for room-temperature topological magnons
IRG-2 developed a symmetry-based approach that uses only few inputs, to carry out an efficient yet systematic search for topological magnons in magnetic insulators. Robust against disorders and decoherence, they serve as potential platforms for magnon-based spintronic devices.
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Nonlinear Rheological Behavior of Dynamic Covalent Gels
Hydrogels with dynamic linkers have garnered intense interest for applications that require flow, including injectable delivery vehicles and 3D bioprinting inks. However, to fully enable these applications, there remains a need to understand how linking chemistry affects gelation and nonlinear rheological properties. To probe this relationship, UT Austin MRSEC researchers developed synthetic multi-arm polyethylene glycol (PEG) gels linked with dynamic covalent bonds.
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Building Enduring Pathways in STEM: Incorporating Traditional Ways of Knowing in Materials Research
This unique partnership between Navajo Technical University and the Harvard MRSEC will build enduring pathways for undergraduate Native American students into STEM by including traditional tribal perspectives and methods of scientific inquiry in materials science research and education.
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Ferroelectric Superconductivity in a Transition Metal Dichalcogenide
For the first time, a team comprised of two IRG-1 theorists (Birol and Fernandes) working with experimentalists from other institutions (including the Columbia MRSEC) showed the coexistence of ferroelectricity (i.e., electrostatically switchable macroscopic dipole moment) and superconductivity in a two-dimensional superconductor.
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Engineering exceptional transport in van der Waals superatomic semiconductors
The PIs of IRG2 have substantially refined synthetic control over the synthesis of superatoms and their assemblies into macroscopic single crystals. They are now leveraging this control to engineer new, exceptional semiconductor transport properties not seen in any other material.
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MEM-C SEED: Expanding Data Automation Using a Jubilee Robotic Platform
UW Chemical Engineering Prof. Lilo Pozzo’s ‘23/’24 Seed project aims to serve the materials community by advancing AI-driven experimentation and analysis for broad adoption and acceleration of materials research. Pozzo has engaged in highly collaborative projects to advance self-driving laboratory (SDL) technologies and to help others adopt them for their own workflows.
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