In a time of accelerating climate change, we need a predictive theory of species’ range shifts, adaptation, and resilience of populations. Currently, predictions rely on theory that fails to ...
Quantum Convolutional Neural Network (QCNN) has achieved significant success in solving various complex problems, such as quantum many-body physics and image recognition. In comparison to the ...
Fisheries bycatch is the greatest current source of human-caused deaths of marine mammals worldwide, with severe impacts on the health and viability of many populations. Recent regulations enacted in ...
Extraction of mechanical properties of materials through deep learning from instrumented indentation
Instrumented indentation has emerged as a versatile and practical means of extracting material properties, especially when it is difficult to obtain traditional stress–strain data from large tensile ...
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