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Highlights

Highlights

Making Soft Matter Accessible: Teacher Workshops on Science & Cooking
Making Soft Matter Accessible: Teacher Workshops on Science & Cooking
Mar 20, 2024
Harvard University

Making Soft Matter Accessible: Teacher Workshops on Science & Cooking

The Harvard MRSEC engages K-12 teachers and students through the science of everyday materials. Through a collaboration with Bite-Scized Education, led by teacher Kate Strangfeld, the MRSEC co-develops workshops for teachers and after-school programs for K-12 students that are modeled on the Science and Cooking course developed by David Weitz and Michael Brenner,  and teach science through food and cooking.
Soft Bioelectronics for In Vivo Neural Probes
Soft Bioelectronics for In Vivo Neural Probes
Mar 20, 2024
Harvard University

Soft Bioelectronics for In Vivo Neural Probes

Existing high-resolution neural recording devices cannot achieve simultaneous scalability on both spatial and temporal levels due to a trade-off between sensor density and mechanical flexibility. A team led by Liu, Bertoldi, Kozinsky, and Suo has introduced a 3D stacking implantable electronic platform, based on perfluorinated dielectric elastomers and tissue-level soft multilayer electrodes, that enables spatiotemporally scalable single-cell neural electrophysiology.
UTK Knoxville MRSEC Partners with the National Society of Black Physicists to Bring Conference into the Laboratories
UTK Knoxville MRSEC Partners with the National Society of Black Physicists to Bring Conference into the Laboratories
Feb 26, 2024
The University of Tennessee - Knoxville

UTK Knoxville MRSEC Partners with the National Society of Black Physicists to Bring Conference into the Laboratories

The National Society of Black Physicists recently held their Annual Conference, the largest academic meeting of minority physicists in the US in Knoxville, Tennessee.
Meet a Scientist Day: hands-on demos for preK-8 students
Meet a Scientist Day: hands-on demos for preK-8 students
Jan 31, 2024
University of Delaware

Meet a Scientist Day: hands-on demos for preK-8 students

An outreach event led by CHARM postdocs and grad students drew almost 200 attendees in partnership with a local library. Students aged preK-8 participated in seven hands-on demonstration booths, including several booths that focused on materials science principles.
Phonon-mediated strong coupling between a three-dimensional topological insulator and a two-dimensional antiferromagnetic material
Phonon-mediated strong coupling between a three-dimensional topological insulator and a two-dimensional antiferromagnetic material
Jan 31, 2024
Big Idea: Quantum Leap

Phonon-mediated strong coupling between a three-dimensional topological insulator and a two-dimensional antiferromagnetic material

This research effort, carried out by the University of Delaware's MRSEC, provides a potential hybrid material platform for optoelectronic device applications in the THz frequency domain.
Rapid Modification of Porous Cages with Click Chemistry
Rapid Modification of Porous Cages with Click Chemistry
Jan 31, 2024
University of Delaware

Rapid Modification of Porous Cages with Click Chemistry

The University of Delaware MRSEC has shown, for the first time, that click chemistry can be used to functionalize multiple families of porous cages.
Top: 2022 inaugural DEEPenn STEM cohort / Bottom: Zahra Fakhraai, LRSM faculty and professor of Chemistry at Penn, speaking to participants during the faculty research talk segment of the DEEPenn STEM weekend. Image source: Felice Macera
Top: 2022 inaugural DEEPenn STEM cohort / Bottom: Zahra Fakhraai, LRSM faculty and professor of Chemistry at Penn, speaking to participants during the faculty research talk segment of the DEEPenn STEM weekend. Image source: Felice Macera
Jul 5, 2023
University of Pennsylvania

UPENN Outreach: Supporting Diversity, Equity, and Engagement in STEM

Mark Licurse & Ashley Wallace, University of Pennsylvania
The LRSM spearheaded the inaugural Diversity Equity Engagement at Penn in STEM (DEEPenn STEM) weekend in October 2022. The initiative aims to proactively educate and recruit students from ethnically and racially minoritized communities (i.e. URMs), women, and first-generation low-income (FGLI) students to STEM-related graduate programs at Penn. 
Damilola Lawal, from the Raney lab, demonstrates The Utility of Instability to a K-12 student. Image source: Felice Macera
Damilola Lawal, from the Raney lab, demonstrates The Utility of Instability to a K-12 student. Image source: Felice Macera
Jul 5, 2023
University of Pennsylvania

UPENN Outreach: 12th Annual Philadelphia Materials Day

Mark Licurse & Ashley Wallace, University of Pennsylvania
Philadelphia Materials Day is a collaborative effort between the University of Pennsylvania MRSEC and the Materials Science & Engineering Department at Drexel University to promote materials research in the region. The 12th annual Philadelphia Materials Day took place on February 11, 2023 at the Bossone Research Center at Drexel University.
The hyperdimensional spin–orbit laser: Today’s quantum communication devices use qubits, which can store two kinds of information at the same time. But this is not enough to hold much information or avoid noise. This study reports the development of an on-chip microfabricated laser that makes qudits, which are light particles with four kinds of information simultaneously. The more kinds of information, the better the quantum communication device can work in the real world.
The hyperdimensional spin–orbit laser: Today’s quantum communication devices use qubits, which can store two kinds of information at the same time. But this is not enough to hold much information or avoid noise. This study reports the development of an on-chip microfabricated laser that makes qudits, which are light particles with four kinds of information simultaneously. The more kinds of information, the better the quantum communication device can work in the real world.
Jul 5, 2023
University of Pennsylvania

UPENN Seed: Adding new dimensions to quantum communication

Liang Feng and Ritesh Agarwal, University of Pennsylvania
Researchers at the University of Pennsylvania have made a microfabricated laser using semiconductor fabrication methods that can control two features of the light particles: their orbit and their spin. This allows them to make light particles with four states simultaneously. These higher-dimensional quantum bits (qudits) can store more information and better avoid noise. They can also make quantum communication more secure and faster and allow more secure communications.
Physics-driven electronic learning machine. (Left) One variable-resistor edge with circuity to adjust its resistance each clock cycle. (Right) A randomly-connected network of fifteen such edges as the repeat unit. (Bottom) The three red nodes are designed as the inputs and the three open nodes are designated as the outputs. During the training phase for an “allostery” task, specific voltages are applied to the inputs, and the edges self-adjust until the output nodes evolve to the desired values. Regression and classification tasks were also demonstrated using appropriate supervision during the training phase.
Physics-driven electronic learning machine. (Left) One variable-resistor edge with circuity to adjust its resistance each clock cycle. (Right) A randomly-connected network of fifteen such edges as the repeat unit. (Bottom) The three red nodes are designed as the inputs and the three open nodes are designated as the outputs. During the training phase for an “allostery” task, specific voltages are applied to the inputs, and the edges self-adjust until the output nodes evolve to the desired values. Regression and classification tasks were also demonstrated using appropriate supervision during the training phase.
Jul 5, 2023
University of Pennsylvania

UPENN Seed: An electronic metamaterial capable of decentralized physics-driven learning

Douglas Durian and Andrea Liu, University of Pennsylvania
In conventional machine learning, a computer is used to minimize a cost function that specifies a desired task, using global information about the entire network. We have now demonstrated how machine learning tasks can be learned and performed without either a computer or global information by taking advantage of physics via a scheme called coupled learning1. Specifically, twin variable-resistor networks are run under different boundary conditions and corresponding edges are compared against only each other for determining resistance updates2.

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