Results 101 to 110 of about 30,967 (217)

Transformative 4D Printed SMPs into Soft Electronics and Adaptive Structures: Innovations and Practical Insights

Advanced Materials Technologies, EarlyView.
This review highlights recent advancements in 3DP techniques that incorporate emerging multifunctional SMP materials for applications in e‐electronics, soft actuators, biomedical devices, and more. Abstract Shape memory polymers (SMP) have recently gained significant attention as multifunctional materials for flexible and wearable electronics ...
Muhammad Yasir Khalid, Adam Otabil, Omar Samir Mamoun, Khalid Askar, Mahdi Bodaghi   +4 more
wiley   +1 more source

Dual‐Wavelength Vat Photopolymerization With Dissolvable, Recyclable Support Structures

Advanced Materials Technologies, EarlyView.
Selective solubility vat photopolymerization (SSVP) uses a single resin to produce dissolvable thermoplastics and insoluble thermosets in a single 3D print. Wavelength‐selective curing and thermal post‐processing provide 3D spatial control over dissolution kinetics, enabling dissolvable support structures and programmable dissolution profiles.
Nicholas S. Diaco, Carl J. Thrasher, Max M. Hughes, Kevin A. Zhou, Michael N. Durso, Saechow Yap, Robert J. Macfarlane, A. John Hart   +7 more
wiley   +1 more source

Advanced Time Series Data Processing Using Various Memristor‐Integrated Devices

Advanced Materials Technologies, EarlyView.
Memristor‐based temporal kernels (TKs) offer compact, energy‐efficient solutions for real‐time time‐series processing in edge devices. This perspective outlines key TK architectures, compares them with conventional reservoir computing, and highlights their application in tasks such as health monitoring, authentication, and anomaly detection ...
Sung Keun Shim, Joon‐Kyu Han, Janguk Han, Soo Hyung Lee, Dong Hoon Shin, Sunwoo Cheong, Sungho Kim, Hanyong Jeong, Yoon Ho Jang, Cheol Seong Hwang   +9 more
wiley   +1 more source

LabOps: A flexible self-hosted workflow of open source tools for efficient collaboration within research laboratories. [PDF]

PLoS Comput Biol
García-Verdugo HD, Román-Palacios C.
europepmc   +1 more source

RADAR: Raman Spectral Analysis Using Deep Learning for Artifact Removal

Advanced Optical Materials, EarlyView.
RADAR is introduced, two lightweight deep learning models for artifact removal, capable of simultaneous denoising and correction of Raman spectra, significantly accelerating high‐quality data acquisition. This work advances Raman spectroscopy as a faster, more reliable tool for chemical analysis, with broad applications in materials science, biomedical
Joel Sjöberg, Nicoleta Siminea, Andrei Păun, Adrian Lita, Mioara Larion, Ion Petre   +5 more
wiley   +1 more source

Nanoelectronics-enabled reservoir computing hardware for real-time robotic controls. [PDF]

Sci Adv
Chen M, An X, Ki SJ, Liu X, Sekhon N, Boyarov A, Acharya A, Tawil J, Bederman M, Liang X.   +9 more
europepmc   +1 more source

Optical Chaos Generation and Applications

Advanced Photonics Research, EarlyView.
This review comprehensively examines optical chaos generation via feedback, injection, and optoelectronic methods, emphasizing bandwidth enhancement and time‐delay suppression. Applications include chaos‐synchronized secure communication, physical random number generation, chaotic lidar for cm‐level detection, distributed fiber sensing, and terahertz ...
Wenhui Chen, Xiaoxin Mao, Junli Wang, Rong Zhang, Longsheng Wang, Zhiwei Jia, Pu Li, Anbang Wang, Yuncai Wang   +8 more
wiley   +1 more source

Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving. [PDF]

PeerJ Comput Sci
Alohali MA, Alqahtani H, Darem A, Abdullah M, Nam Y, Abouhawwash M.   +5 more
europepmc   +1 more source

Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit

Advanced Robotics Research, EarlyView.
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam, Saikat Sahoo, Yoosun Kim, Dongmin Go, Jeongho Choo, Cheonkyu Park, Seungtae Yang, Giuk Lee   +7 more
wiley   +1 more source

Energy aware resource management in 6G IoT networks using STAR RIS. [PDF]

Sci Rep
Alqahtani A, Taneja N, Taneja A, Alqahtani N.   +3 more
europepmc   +1 more source