Results 241 to 250 of about 185,504 (288)

Reprogrammable Phase‐Transition Composites for Adaptive Dynamic Shape Morphing

Advanced Science, EarlyView.
This paper reports a bio‐inspired reprogrammable phase‐transition composites that uses the stiffness change induced by reversible solid‐liquid phase transition to program and regulate the material deformation actuated by reversible liquid‐vapor phase transition, thereby achieving adaptive dynamic deformation in a controllable manner, and enabling ...
Yiding Zhong, Wei Tang, Xinyu Guo, Kecheng Qin, Pingan Zhu, Qincheng Sheng, Yonghao Wang, Huayong Yang, Jun Zou   +8 more
wiley   +1 more source

Adaptive model predictive control for robust lateral motion tracking of semi-autonomous vehicles with dynamic parameter variation. [PDF]

Sci Rep
Yeneneh K, Yoseph B, Sufe G.
europepmc   +1 more source

Machine‐Learning‐Guided Design of Incommensurate Antiferroelectrics via Field‐Driven Phase Engineering

Advanced Science, EarlyView.
The key to enhancing the energy storage performance of antiferroelectrics lies in regulating the phase transition and reverse phase transition. A phase‐field‐machine learning framework is employed to predict the energy storage performance of Pb‐based incommensurate antiferroelectrics with multi‐scale regulation strategy, thereby revealing the dynamic ...
Ke Xu, Xiaoming Shi, Zhaochen Xi, Shouzhe Dong, Changqing Guo, Rongzhen Gao, Letao Yang, Jing Wang, Di Zhou, Houbing Huang   +9 more
wiley   +1 more source

Stability of a Compressed Bar Resting on an Elastic Substrate with Stepwise Changes in Parameters. [PDF]

Materials (Basel)
Sadowski M, Marcinowski J, Sakharov V.
europepmc   +1 more source

Customizing Tactile Sensors via Machine Learning‐Driven Inverse Design

Advanced Science, EarlyView.
ABSTRACT Replicating the sophisticated sense of touch in artificial systems requires tactile sensors with precisely tailored properties. However, manually navigating the complex microstructure‐property relationship results in inefficient and suboptimal designs.
Baocheng Wang, Depeng Kong, Zhiao He, Jikai Liang, Yuyao Lu, Zikang Deng, Honghe Li, Mengke Wang, M. Jamal Deen, Zhiqiu Ye, Shuyao Zhou, Huayong Yang, Honghao Lyu, Jun Chen, Kaichen Xu, Geng Yang   +15 more
wiley   +1 more source

Functionally Graded Lattice (FGL) Models for Predicting the Mechanical Properties of Femur Spongy Bone. [PDF]

Biomed Eng Comput Biol
Mohammadi A, Sadighi M, Hedayati R.
europepmc   +1 more source

The effect of non-linearity of railway tracks on ground-borne vibration

, 2014
Hussein, Mohammed, Koroma, Samuel, Ntotsios, Evangelos, Thompson, David   +3 more
core  

Experimental and Numerical Assessment of Flexural Behavior of CFRP-Strengthened Timber Beams. [PDF]

Polymers (Basel)
Muhaxheri M, Krasniqi E, Kabashi N, Murati Y, Mahmuti R.   +4 more
europepmc   +1 more source

Dynamic Modeling and Analysis of Rotary Joints with Coupled Bearing Tilt-Misalignment Faults. [PDF]

Entropy (Basel)
Lu J, Zhu Z, Ji J, Yang Y, Miao X, Yan X, Liu Q.   +6 more
europepmc   +1 more source

Nonlinear response analysis of plan and vertical asymmetric reinforced concrete buildings under directional seismic loadings. [PDF]

Sci Rep
Kumar P, Madhuri S, Olaiya BC.
europepmc   +1 more source