Results 191 to 200 of about 51,165 (305)

A Soft Robotic Model for Simulating Heart Valve Disease and Cardiac Interventions

Advanced Science, EarlyView.
This paper introduces a fully synthetic fabrication methodology for a soft robotic, in‐vitro model of the left‐heart, complete with a functioning mitral valve apparatus. With a view towards patient‐specific modeling, we demonstrate physiological flow and pressure waveforms, tunable mitral valve function with clinical imaging compatibility, and its use ...
James Davies, Emanuele Nicotra, Kefan Zhu, Chi Cong Nguyen, Bibhu Sharma, Adrienne Ji, Phuoc Thien Phan, Jingjing Wan, Patrick Pruscino, Hermione Truong, Jelena Rnjak‐Kovacina, Hoang‐Phuong Phan, Christopher Hayward, Nigel Hamilton Lovell, Thanh Nho Do   +14 more
wiley   +1 more source

Multi-constraint model predictive control of flexible joint drive system based on unknown state estimator and constraint adaptive hierarchical planning. [PDF]

Sci Rep
Song C, Du Q, Guo X.
europepmc   +1 more source

Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics

Advanced Science, EarlyView.
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang, Bingqian Dai, Shijie Xu, Kin Wong, Yaochen Li, Yang Cheng, Qingyuan Shu, Haoran He, Puyang Huang, Hanshen Huang, Xixiang Zhang, Kang L. Wang   +11 more
wiley   +1 more source

Adaptive vector oriented control of doubly fed induction generator wind turbines using M5P model tree for robust dynamic performance. [PDF]

Sci Rep
Benyoucef K, Abdelhafidh M, Djamel B, Hasan Mujammal MA, Sofiane K, Nassim Z, Bajaj M, Rubanenko O.   +7 more
europepmc   +1 more source

Hierarchical Artificial Muscle with Nonlinear Elasticity for Antagonistic and Cyclic Robotics

Advanced Science, EarlyView.
We construct hierarchical muscles by plying nylon fibers around a heating wire. The hierarchical muscle shows a J‐shaped passive curve, which shows benefit in antagonistic muscle pair and work accumulation mechanism. We also develop a computational, first‐principle model to understand the physics of both active actuation stroke and passive J‐curve ...
Samuel Tsai, Liuyang Cheng, Ali Albazroun, Qiong Wang, Jeongmin Kim, Arman Tekinalp, Soonwook Kim, Charlie Simcox, Ryne Downing, Vagish Sivaramakrishnan, Grace Carsello, Miles Bimrose, Wonsik Eom, William P. King, Mattia Gazzola, Sameh Tawfick   +15 more
wiley   +1 more source

Machine Learning-Based Soft Sensor for Real-Time Wire Bow Prediction in Diamond Multi-Wire Sawing. [PDF]

Sensors (Basel)
Zhao X, Liu H, Yang J, Zhu L, Li H, Qiu L, Zhang S.   +6 more
europepmc   +1 more source

Nonrelativistic Spin Current Generated Unconventional Spin Hall Magnetoresistance in Altermagnetic RuO2

Advanced Science, EarlyView.
It is reported that the unconventional spin Hall magnetoresistance generated from nonrelativistic spin currents in RuO2 is capable of accurately detecting spin current polarization and disentangling the T̂$\hat{T}$‐odd and T̂$\hat{T}$‐even components of a spin current.
Chang Pan, Shuai Hu, Fanli Yang, Dongchao Yang, Wei Zhu, Jianwei Zhang, Weijia Fan, Zhong Shi, Liqing Pan, Shiming Zhou, Xuepeng Qiu   +10 more
wiley   +1 more source

Fast reprogramming and adaptive reproduction of contact-rich assembly. [PDF]

Front Robot AI
Rakovitis D, Origanti VK, Bargsten V, Danzglock A, Mronga D, Kirchner F.   +5 more
europepmc   +1 more source

Cluster‐Mediated Solute Stabilization and Shear‐Bypass Synergistic Strengthening in High‐Alloyed Systems

Advanced Science, EarlyView.
This study demonstrates that in high‐alloy systems, nanoclusters with high solute tolerance can effectively suppress compositional segregation. This mitigation leads to a concurrent 18.7% increase in strength and 41.5% improvement in ductility, which is attributed to a shear‐bypass synergistic strengthening mechanism. The findings provide a new pathway
Wei Yu, Yu Bai, Jiawen Li, Kaixi Jiang, Hai Hao, Tao Jiang, Shunan Zhang, Yong Li, Zhaodong Wang, Kai Zhao, Shiwei Li   +10 more
wiley   +1 more source

Machine learning approach for prediction of TBM performance and risk of jamming in Himalayan geology using a cross-project tunnelling database. [PDF]

Sci Rep
Katuwal TB, Panthi KK, Basnet CB.
europepmc   +1 more source