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High efficiency of antibacterial activity-based Zn-Co@BTC MOF against Bacillus bacterial cells. [PDF]
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Theory-guided machine learning for damage characterization of composites
Composite Structures, 2020A novel approach for damage characterization through machine learning is presented where theoretical knowledge of failure and strain-softening is linked to the macroscopic response of quasi-isotropic composite laminates in over-height compact tension ...
N. Zobeiry, J. Reiner, R. Vaziri
semanticscholar +3 more sources
International journal of damage mechanics, 2023
Investigation into rock damage is of great significance for evaluating and predicting the stability of underground rock applications, such as deep mining or tunneling structures. Considering the energy dissipation properties during rock deformation, this
Song Luo, F. Gong, K. Peng
semanticscholar +1 more source
Investigation into rock damage is of great significance for evaluating and predicting the stability of underground rock applications, such as deep mining or tunneling structures. Considering the energy dissipation properties during rock deformation, this
Song Luo, F. Gong, K. Peng
semanticscholar +1 more source
Ultrasonics, 2023
Standard structural health monitoring techniques face well-known difficulties for comprehensive defect diagnosis in real-world structures that have structural, material, or geometric complexity.
R. Palanisamy +2 more
semanticscholar +1 more source
Standard structural health monitoring techniques face well-known difficulties for comprehensive defect diagnosis in real-world structures that have structural, material, or geometric complexity.
R. Palanisamy +2 more
semanticscholar +1 more source

