Results 91 to 100 of about 63,262 (216)

Chronic Disease Monitoring Using Advanced Compliant Materials for Bioelectronics

open access: yesAdvanced Electronic Materials, EarlyView.
Compliant bioelectronic systems enable continuous monitoring of chronic disease through soft, stretchable materials and tissue‐conformal designs that support stable electrophysiological, mechanical, and biochemical sensing. Integration of diverse sensing modalities with thoughtful material selection, device architectures, and advanced fabrication ...
Han Kim   +7 more
wiley   +1 more source

Robust speed control of five-phase permanent magnet synchronous motor using super-twisting sliding mode control

open access: yesRevue des Énergies Renouvelables, 2017
This paper is devoted to the study of the performances of a robust speed nonlinear control of five-phase permanent magnet synchronous motor (PMSM).The dynamic response speed and overshoot is contradictory and the system is weak in terms of anti ...
F. Mehedi   +3 more
doaj  

Bridging Performance and Fate: A Framework for Sustainable, Composite‐Based Flexible Electronic Systems

open access: yesAdvanced Electronic Materials, EarlyView.
Composite‐based flexible electronics integrate biodegradable polymers, conductive networks, and multilayer device architectures to balance electrical performance, mechanical durability, and controlled degradation. Interfacial engineering and encapsulation regulate transport stability and operational lifetime, while programmed disassembly enables ...
Sayam, Sangho Cho
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

open access: yesAdvanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia   +3 more
wiley   +1 more source

Environmental Identification of Novel Enzymes for Polyurethane and Polyamide Degradation

open access: yesAngewandte Chemie, EarlyView.
Heteroatom‐containing plastics such as polyurethanes and nylons are produced at scale yet remain largely unrecycled. Biocatalysts offer a promising route to depolymerization under mild conditions. Here, we present a screening platform for the discovery of novel polyurethane‐ and nylon‐degrading enzymes from environmental samples and demonstrate ...
Malthe Kjær Bendtsen   +17 more
wiley   +2 more sources

Lidar‐Based Object Tracking of Traffic Participants with Sensor Nodes in Existing Urban Infrastructure

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents a lidar‐based sensor node design and a rule‐based state observer for edge‐based traffic participant tracking. Unlike other state‐of‐the‐art methods, this state observer enables real‐time, CPU‐only edge processing without relying on machine learning approaches.
Simon Schäfer   +2 more
wiley   +1 more source

3D‐Printable Nanoporous Thermosets via Disulfide‐Based Polymerization‐Induced Microphase Separation

open access: yesAngewandte Chemie, EarlyView.
α‐Lipoic acid‐derived degradable macro‐chain transfer agents (macroCTAs) with tunable hydrophilicity drive polymerization‐induced microphase separation (PIMS) in photocurable resins. Selective etching via disulfide cleavage then generates interconnected nanoporous thermosets, and compatibility with liquid‐crystal display (LCD) 3D printing enables the ...
Xueheng Dai   +8 more
wiley   +2 more sources

Backstepping speed controller design for a multi-phase permanent magnet synchronous motor drive

open access: yesRevue des Énergies Renouvelables, 2019
This paper deals with the synthesis of a speed control strategy for a six-phase permanent magnet synchronous motor (PMSM) drive based on backstepping controller (BC). The Backstepping control is a systematic and recursive design methodology for nonlinear
F. Mehedi   +4 more
doaj  

ParamNet: A Physics‐Guided Deep Learning Framework for Intelligent Self‐Inversion of Vacuum Optical Levitation Systems

open access: yesAdvanced Intelligent Systems, EarlyView.
A physics‐guided deep learning framework, ParamNet, is introduced for the intelligent self‐inversion of vacuum optical tweezers. By fuzing dual‐branch time–frequency features with physical dynamical constraints, it achieves high‐accuracy calibration of trap parameters from short‐window, low‐frequency trajectories, outperforming traditional methods ...
Qi Zheng   +4 more
wiley   +1 more source

Advances in BODIPY Derivatives for Antibacterial Phototherapy

open access: yesAngewandte Chemie, EarlyView.
This review systematically summarizes the design strategies and structure‐activity relationships of BODIPY‐based antibacterial phototherapy, covering molecular engineering of small‐molecule photosensitizers and nanoplatforms, bacterial targeting and carrier design, and discussing the challenges and future perspectives associated with clinical ...
Li Lv   +9 more
wiley   +2 more sources

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