Results 131 to 140 of about 6,667 (254)

Giant Orbital Rashba–Edelstein Effect in Crystalline Cu2O/Cu Heterostructures

Advanced Materials, EarlyView.
An enhanced orbital Rashba–Edelstein effect is demonstrated in a crystalline Cu2O/Cu heterostructure, compared to naturally oxidized CuOx structures, highlighting the critical role of crystallinity and interface control in orbital torque generation. The resulting spin torque conductivity exceeds that of Pt, indicating the potential of orbital torque ...
San Ko, Jaimin Kang, Su Jae Kim, Hanhwi Jang, Do‐Kyeong Nam, Minseok Kang, Sunghoon Kim, Yeon Sik Jung, Se‐Young Jeong, Kab‐Jin Kim, Byong‐Guk Park   +10 more
wiley   +1 more source

A Geometrically Transient Platform for Bioelectronic Implants

Advanced Materials, EarlyView.
Minimally invasive bioelectronic implants often compromise performance for smaller sizes. To resolve this optimization dilemma, a wireless bioelectronic implant with a transient geometry is introduced (MiFi). The origami‐inspired device miniaturizes up to sixfold for syringe insertion and autonomously unfolds post‐implantation.
Selin Olenik, John D. Goodwin, Atharv Naik, Philip Coatsworth, Ioi Chit Cheung, Farbod Amirghasemi, Anies Sohi, Ehsan Abedi, Tayeb Tadlaoui, Maral P. S. Mousavi, Andriy S. Kozlov, Victoria Salem, Andrew S. Cowburn, Firat Guder   +13 more
wiley   +1 more source

Thermomechanical Parameters Modelling of Spring Force Elements Made of Shape Memory Alloys. [PDF]

Materials (Basel)
Łastowska O, Polishchuk V, Poznanskyi A.   +2 more
europepmc   +1 more source

Review of Neural Network Modeling of Shape Memory Alloys. [PDF]

Sensors (Basel), 2022
Hmede R, Chapelle F, Lapusta Y.
europepmc   +1 more source

Field‐Programmed Anisotropy in Magneto‐Piezoelectric Composites for Material‐Encoded Mechanoperception

Advanced Materials, EarlyView.
Field‐programmed anisotropy imparts material‐level intelligence to soft composites. Magnetic torque dynamics drive magneto‐piezoelectric nanowires from random dispersion into deterministic axial alignment. The resulting hierarchical percolation networks confine electromechanical coupling to specific axes and intrinsically decouple superposed force ...
Yubin Kim, Yumin Kwon, Dabin Kim, Minsun Oh, Jin Young Jung, Dongyeong Gim, Kootak Hong, Jun Yeon Hwang, Sang‐Woo Kim, Minjeong Ha   +9 more
wiley   +1 more source

Micro-drilling on shape memory alloys-A review. [PDF]

MethodsX
Chaudhary K, Haribhakta VK.
europepmc   +1 more source

The Influence of [110] Compressive Stress on Kinetically Arrested B2-R Transformation in Single-Crystalline Ti-44Ni-6Fe and Ti-42Ni-8Fe Shape-Memory Alloys. [PDF]

Materials (Basel), 2023
Todai M, Fukuda T, Kakeshita T.
europepmc   +1 more source

Optoelectronic Nanofluidic Neural Networks for Ionic Computing

Advanced Materials, EarlyView.
An ion‐based optoelectronic nanofluidic memristor enables neuromorphic computing in aqueous environments. With tunable ionic memory and multimodal synaptic plasticity, it realizes densely connected ionic neural networks capable of image classification, motion prediction, logic computation, and real‐time in‐sensor computing, advancing fully connected ...
Yaxin Huang, Zhiyuan Du, Changjin Wu, Binglin Zeng, Yingnan Cao, Mingliang Li, Liren Zhang, Qingxin Guo, Chao Huang, Can Li, Jinyao Tang   +10 more
wiley   +1 more source

Effects of the alloying Mn and Co on the martensitic transformation behaviors and damping properties of Cu-Al-Fe high-temperature shape memory alloys. [PDF]

Sci Rep
Gholami-Kermanshahi M, Huang WH, Liu GC, Lange G, Chang SH.   +4 more
europepmc   +1 more source

Thermomechanical Fatigue Testing on Fe-Mn-Si Shape Memory Alloys in Prestress Conditions. [PDF]

Materials (Basel), 2022
Marinopoulou E, Katakalos K.
europepmc   +1 more source