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Self-sustaining mechanical energy harvesting devices are pivotal for developing durable energy-efficient systems, providing scalable and adaptable solutions to wearable technology. Triboelectric nanogenerators (TENGs) efficaciously convert ambient mechanical energy into usable electrical power to sustainably drive modern electronics. Surface and structural engineering is an avenue to boost TENGs' energy harvesting through modulating contact interfaces and charge transfer interactions between the constituent layers.

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From Printed Devices to Vertically Stacked, 3D Flexible Hybrid Systems.

Adv Mater

January 2025

Bendable Electronics and Sustainable Technologies (BEST) Group, Department of Electrical and Computer Engineering, Northeastern University, Boston, MA, 02115, USA.

The pursuit of miniaturized Si electronics has revolutionized computing and communication. During recent years, the value addition in electronics has also been achieved through printing, flexible and stretchable electronics form factors, and integration over areas larger than wafer size. Unlike Si semiconductor manufacturing which takes months from tape-out to wafer production, printed electronics offers greater flexibility and fast-prototyping capabilities with lesser resources and waste generation.

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Background: The patient journey from threatened to actual limb loss, subsequent rehabilitation, and limb preservation through the health system is complicated and prone to delays, attrition, and inequities. A shared multi(socioecological)-level conceptualization of this journey among the multiple stakeholders is the first step for systematically improving limb care through identification of bottlenecks and gaps, contributory factors, and responsive interventions and implementation strategies.

Objective: To meet this knowledge gap by presenting a novel implementation model, the Multilevel Limb-loss and Preservation Rehabilitation Continuum (MLPRC), that can be used to develop multilevel applications.

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Vertical Memristive Crossbar Array for Multilayer Graph Embedding and Analysis.

Adv Mater

January 2025

Department of Materials Science and Engineering and Inter-university Semiconductor Research Center, College of Engineering, Seoul National University, Seoul, 08826, Republic of Korea.

Graph data structures effectively represent objects and their relationships, enabling the modeling of complex connections in various fields. Recent work demonstrate that metal at diagonal crossbar arrays (m-CBA) can effectively represent planar graphs. However, they are unsuitable for representing multilayer graphs having multiple relationships across different layers.

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Nanostructured devices have proven useful in a broad range of applications, from diagnosing diseases to discovering and screening new drug molecules. We developed vertical silicon nanopillar (SiNP) arrays for on-chip multiplex capture of selected biomolecules using a light-induced release of the array's selectively captured biomarkers. This platform allows the rapid, reusable and quantitative capture and release of a selection of biomarkers, followed by their downstream analysis.

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