Results 191 to 200 of about 29,494 (264)

Fracture Toughness of Short Fibre-Reinforced Composites-In Vitro Study. [PDF]

Materials (Basel)
Kamourieh N, Faigenblum M, Blizard R, Leung A, Fine P.   +4 more
europepmc   +1 more source

Resistant Starch Dynamics in Whole‐Grain Cereals: How Processing and Macromolecular Interactions Shape Quality and Physiological Responses

AgriFood: Journal of Agricultural Products for Food, EarlyView.
This review explores how processing and macromolecular interactions shape resistant starch dynamics in whole‐grain cereals. It highlights how these transformations influence nutritional quality, digestion kinetics, and product properties, offering insights for designing stable health‐oriented whole‐grain foods with optimized functional benefits ...
Yuewen Tan, Wenjie Zhu, Jingxin Li, Yingchao Wang, Ruge Cao   +4 more
wiley   +1 more source

Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning

Advanced Intelligent Discovery, EarlyView.
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley   +1 more source

Fracture Toughness Behaviour of Nickel Alloy Steel 1.5662. [PDF]

Materials (Basel)
Afzali N, Stranghöner N, Langenberg P.
europepmc   +1 more source

Fluorescent Hydrogel‐Based Strain Sensor With Machine Learning‐Augmented Performance

Advanced Intelligent Discovery, EarlyView.
Fluorescent hydrogel strain sensor based on carbon quantum dots enabling optical readout of deformation through strain‐dependent emission changes, coupled with Random Forest analysis to capture nonlinear fluorescence‐concentration relationships and identify optimal sensing conditions. Hydrogels are ideal matrices for bio‐integrated wearable sensors due
Tailai Chen, Tianlong Liu, Chao Lu, Rimsha Malik, Jin Zhang   +4 more
wiley   +1 more source

A Method for Determining the Fracture Toughness of Shotcrete Materials Subjected to Freeze-Thaw Cycles. [PDF]

Materials (Basel)
Han X, Zhao Q, Jia B, Liu J, Li Q, Zhang Q.   +5 more
europepmc   +1 more source

Cellular Material Network: A General Machine Learning Architecture for Predicting Mechanical Properties of Cellular Materials

Advanced Intelligent Systems, EarlyView.
This study introduces Cellular Material Network (CM‐Net), a pioneering machine learning architecture integrating physical information, to predict the mechanical properties of cellular materials. Comprehensive validation through simulations and experiments demonstrates its accuracy in predicting nonlinear behaviors, including initial peak compression ...
Sicong Zhou, Qiang Gao, Liuchao Jin, Guoquan Xie, Kang Zhang, Wei‐Hsin Liao   +5 more
wiley   +1 more source

Fracture toughness of mixed-mode anticracks in highly porous materials. [PDF]

Nat Commun
Adam V, Bergfeld B, Weißgraeber P, van Herwijnen A, Rosendahl PL.   +4 more
europepmc   +2 more sources

Fracture properties of dolomite and prediction of fracture toughness based on BP-ANN. [PDF]

Sci Rep
Guo Y, Liu D, Rao J, Guo F, Peng Y.
europepmc   +1 more source

Natural Aging of Biomaterials in Ambient and Physiological Environments

Advanced NanoBiomed Research, EarlyView.
Biomaterials used in biomedical applications can change their physical properties over time, even under ambient and physiological conditions. This review highlights key studies on the natural aging of materials ranging from soft hydrogels to metals and ceramics, emphasizing how time‐dependent changes influence function and performance.
Shuyu Zhang, Anne E. Staples
wiley   +1 more source