Results 171 to 180 of about 7,165 (303)

Solid Ethanol as a Renewable, Low‐Toxicity, Electron‐Beam Direct Write, and Biomedical Material

Advanced Science, EarlyView.
3D ice lithography (3DIL) enables the fabrication of intricate submicrometer objects using ethanol as a renewable starting material. This study combines process optimization, structural and material analysis, and biomedical applications, from cell culture scaffolds to the patterning of neurostimulation electrodes, demonstrating performance in both in ...
Bruno Perdigão, Bingdong Chang, Gwendoline A. E. Anand, Lechan Tao, Kayeon Kim, Anne Zebitz Eriksen, Malte Alexander Schönhoff, Guilherme Ferreira, Xiyuan Liu, Su Genelioglu, Joachim Lyngholm‐Kjærby, Neha Zahoor, Johan Ulrik Lind, Alice Bastos da Silva Fanta, Thomas Willum Hansen, Changsi Cai, Anpan Han   +16 more
wiley   +1 more source

Scaling analysis and experiments for the apparent stiffness of woodpile lattices with tubular struts. [PDF]

Sci Rep
Shalchy F, Askarinejad S, Bhaskar A.
europepmc   +1 more source

Topology‐Enriched Toughness Enhancement in Quasi‐Periodic Metastructures Featuring Tailorable Strong‐Weak Network

Advanced Science, EarlyView.
A quasi‐periodic Dart‐Kite (QDK) metastructure with a golden‐ratio‐constrained strong–weak bond network simultaneously enhances strength, toughness, and damage tolerance. Its distributed topology enables predictable, tailorable crack paths for precise fracture control and stable mechanics, demonstrating a high‐performance, controllable architecture ...
Tianyu Gao, Genda Wang, Jiabao Bai, Kai Liu   +3 more
wiley   +1 more source

Tunable High‐Performance Metamaterial Filters Based on Novel SRR Architectures

Advanced Science, EarlyView.
Based on two novel SRR configurations and two independent SRR integration approaches, four tunable bandpass metamaterial filters were fabricated with an ultra‐thin ceramic substrate. Among them, SM‐2 achieves over 97% electromagnetic wave transmittance, with a minimal 1.15% deviation in its resonant frequency prediction, making them promising ...
Lingxi Qu, Liya Zheng, Ruopeng Liu, Chunlin Ji, Bin Li   +4 more
wiley   +1 more source

Comparative analysis of compressible solver schemes for underexpanded jet aerodynamics with Schlieren validation. [PDF]

Sci Rep
Alsaedi SS, Al-Sadawi LA, Al-Haddad LA, Abdul-Zahra AS, Odeh M, Flah A, Ogaili AAF.   +6 more
europepmc   +1 more source

Generation of Self‐Organizing Macrovascular Constructs by Bioprinting Human iPSC‐Derived Mesodermal Progenitor Cells

Advanced Science, EarlyView.
ABSTRACT Vascularization remains a major obstacle in tissue engineering. Here, we introduce a bioprinting strategy to generate centimeter‐scale, self‐organizing “mother vessel” constructs from iPSC‐derived hiMPCs. By optimizing bioink composition, printing was accomplished in a single‐step approach. Within one week, hiMPCs differentiated into both CD31+
Leyla E. Dogan, Nathaly A. Chicaiza‐Cabezas, Florian Kleefeldt, Philipp Wörsdörfer, Jürgen Groll, Süleyman Ergün   +5 more
wiley   +1 more source

Plant spraying quality when used by drone-robots. [PDF]

Sci Rep
Berner B, Chojnacki J, Kukiełka L, Najser J, Kielar J, Najser T, Sergiel L.   +6 more
europepmc   +1 more source

Learning Moisture‐Induced Damage From Vision: Diffusion Models for Real‐Time Monitoring of Additive Manufacturing Processes

Advanced Science, EarlyView.
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung, Yuna Yoo, Dharneedar Ravichandran, Dahyun Daniel Lim, Grace X. Gu   +4 more
wiley   +1 more source

Enhancing tunnel sprayer performance through optimization of constructional parameters. [PDF]

Sci Rep
Singh J, Din M, Agrawal KN, Jyoti B, Roul AK, Mahapatra J, Pagare V.   +6 more
europepmc   +1 more source

Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays

Advanced Science, EarlyView.
A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo, Ji‐Hwan Eum, Suk‐Jeong Kwon, Minji Sagong, Dongchan Kim, Dong‐Ha Kim   +5 more
wiley   +1 more source