Results 171 to 180 of about 796,368 (357)

The Low-Cycle Fatigue Behavior, Microstructure Evolution, and Life Prediction of SS304: Influence of Temperature. [PDF]

Materials (Basel), 2023
Mei T, Wang Q, Liu M, Jiang Y, Zou T, Cai Y.   +5 more
europepmc   +1 more source

Pull‐and‐Push Nanotherapeutic Hydrogels: Scavenging Inflammatory Triggers While Driving Tissue Regeneration in Burn Wounds

Advanced Functional Materials, EarlyView.
A nanounit‐assembled hydrogel employing a “pull‐and‐push” strategy simultaneously scavenges pro‐inflammatory cell‐free DNA (cfDNA) and delivers regenerative therapeutics in response to burn‐induced hyperthermia. By repolarizing macrophages and promoting angiogenesis, this multifunctional platform accelerates burn wound healing, offering a blueprint for
Han‐Sem Kim, Seong‐Jin Shin, Sak Lee, Nandin Mandakhbayar, Ji‐Hye Kang, Da‐Young Kong, Seong‐Doo Hong, Ueon Sang Shin, Hae‐Won Kim, Jung‐Hwan Lee   +9 more
wiley   +1 more source

Vorticity‐Driven µ‐Platelet Rotation and Selective Packing for Vertical Thermal–Electrical Interconnects

Advanced Functional Materials, EarlyView.
We introduce a capillary‐filtering‐based particle‐filling (CFPF) process that simultaneously forms vertical thermal pathways and electrical vias within µ‐pores. In situ microfluidic analysis reveals that capillary‐driven velocity gradients generate vorticity that governs µ‐platelet rotation and vertical alignment.
Yujin Mun, Sang Gil Lee, Un‐seong Baik, Taeyoon Kwon, Jungyeon Kim, Joo Hwan Shin, Chanho Jeong, Jae‐seung Shim, Yeji Kim, Hyein Jung, Jin‐Tae Kim, Tae‐il Kim   +11 more
wiley   +1 more source

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Effects of V-N Microalloying on Low-Cycle Fatigue Property in the Welded Joints of Constructional Steel. [PDF]

Materials (Basel), 2023
Cui K, Yang H, Li Z, Wang G, Zhao H, Li Y.   +5 more
europepmc   +1 more source

Review of Thermally Activated Twisted Coiled Polymer Actuators: A Materials Science Perspective

Advanced Functional Materials, EarlyView.
Thermally activated twisted and coiled polymer actuators (TCPAs) combine lightweight design, large deformation, and scalable fabrication for soft robotic and wearable applications. This review connects polymer structure, processing history, helix geometry, and thermomechanical characterization to actuator performance, highlighting current challenges in
Nadja Schenk, Lukas Benecke, Chokri Cherif, Johannes Mersch   +3 more
wiley   +1 more source

Low-Cycle Fatigue Behavior of Wire and Arc Additively Manufactured Ti-6Al-4V Material. [PDF]

Materials (Basel), 2023
Springer S, Leitner M, Gruber T, Oberwinkler B, Lasnik M, Grün F.   +5 more
europepmc   +1 more source

Low-cycle fatigue properties of TRIP steel

, 2006
Low-cycle fatigue properties of TRIP ...
Tim Hilditch (13097751), Peter Hodgson (13089276), Leigh Robertson (13052823)   +2 more
core  

Decellularized Extracellular Matrix (dECM) in Tendon Regeneration: A Comprehensive Review

Advanced Healthcare Materials, EarlyView.
Decellularized Extracellular Matrix (dECM) offers a promising solution by replicating the native tendon microenvironment and promoting regeneration. This review highlights advances in the decellularization methods, as well as their integration with emerging technologies and translational progress in tendon tissue engineering.
Kumaresan Sakthiabirami, Yeonwoo Park, Seong Kyeong Jo, Min Hee Kim, Jae Hwang Song   +4 more
wiley   +1 more source

Prediction of 316 stainless steel low-cycle fatigue life based on machine learning. [PDF]

Sci Rep, 2023
Duan H, Cao M, Liu L, Yue S, He H, Zhao Y, Zhang Z, Liu Y.   +7 more
europepmc   +1 more source