Research Express
Nature Communications publishes paper first-authored by JI student

Nature Communications publishes paper first-authored by JI student

Yue Hu, a Class of 2023 doctoral graduate of the University of Michigan-Shanghai Jiao Tong University Joint Institute (UM-SJTU JI, JI hereafter), has published a research paper titled “Defect scattering can lead to enhanced phonon transport at the nanoscale” as the first author in the esteemed academic journal Nature Communications.

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JI professor’s PNAS paper advances catalyst design optimization

JI professor’s PNAS paper advances catalyst design optimization

The research team led by Assistant Professor Yulian He of the University of Michigan-Shanghai Jiao Tong University Joint Institute (UM-SJTU JI, JI hereafter) has made a significant contribution in catalyst design optimization. Their findings, published in the prestigious scientific journal, Proceedings of the National Academy of Sciences of the United States of America (PNAS), introduce a novel method for determining the pivotal physical quantity influencing chemisorption energy on catalyst surfaces.

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JI undergraduates publish paper in leading energy research journal

JI undergraduates publish paper in leading energy research journal

Four undergraduate students of the University of Michigan – Shanghai Jiao Tong University Joint Institute (UM–SJTU JI, JI hereafter) have published a research article titled “Patchable Transparent Standalone Piezoelectric P(VDF-TrFE) Film for Radial Artery Pulse Detection” in International Journal of Energy Research, a journal with an impactor factor of 4.6 and journal citation report top 2%.

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JI undergraduate student publishes paper in IEEE journal

JI undergraduate student publishes paper in IEEE journal

The University of Michigan – Shanghai Jiao Tong University Joint Institute (UM-SJTU JI, JI hereafter) undergraduate student Kezhi Li has published a research paper titled "Forehead or Headlights - At Which Height Should LiDARs Be Mounted on the Vehicle?" in IEEE...

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JI Professor Jaehyung Ju elected as ASME Fellow

JI Professor Jaehyung Ju elected as ASME Fellow

Jaehyung Ju, Associate Professor of the University of Michigan – Shanghai Jiao Tong University Joint Institute (UM-SJTU JI, JI hereafter), has been elected as a Fellow of the American Society of Mechanical Engineers (ASME) in recognition of his research and education accomplishments in the area of Applied Mechanics.

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JI research project wins Shanghai Rising-Star Program support

JI research project wins Shanghai Rising-Star Program support

The University of Michigan-Shanghai Jiao Tong University Joint Institute (UM-SJTU JI, JI hereafter) Associate Professor Rui Yang has obtained support from Shanghai Rising-Star Program (Class A) , after his research project entitled “In-memory computing devices based...

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JI Professor proposes inverse design of 3D reconfigurable curvilinear modular origami structures

JI Professor proposes inverse design of 3D reconfigurable curvilinear modular origami structures

The University of Michigan – Shanghai Jiao Tong University Joint Institute (UM-SJTU JI, JI hereafter) Associate Professor Jaehyung Ju and his collaborator have published a research article titled “Inverse design of 3D reconfigurable curvilinear modular origami structures using geometric and topological reconstructions” in Nature Communications, a top-tier multidisciplinary journal of natural sciences.

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JI professor proposes new acoustic sensors for superior human-machine interaction

JI professor proposes new acoustic sensors for superior human-machine interaction

The University of Michigan-Shanghai Jiao Tong University Joint Institute (UM-SJTU JI, JI hereafter) Associate Professor Lei Shao and his collaborators have published a research article titled “A wave-confining metasphere beamforming acoustic sensor for superior human-machine voice interaction” in Science Advances,  a peer-reviewed multidisciplinary open-access scientific journal run by the American Association for the Advancement of Science. The article proposes a new acoustic sensor for human-machine interaction (HMI) to distinguish and track multiple sound sources in a noisy background, with an outstanding signal-to-noise ratio (SNR) and a superior sensitivity at the same time.

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