[Elsevier] A new multi-sensor fusion with hybrid Convolutional Neural Network with Wiener model for remaining useful life estimation |
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Boosting the efficiency of supported undecamolybdophosphate catalyst by tailoring acid-redox properties for direct oxidative cross-esterification of aldehydes
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The capture performance of An-MOF for fission gases: Insight from DFT and AIMD calculations
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Investigation of hydrogen storage and energy harvesting potential of double perovskite hydrides A2LiCuH6 (A = Be/Mg/Ca/Sr): A DFT approach
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Study of physical characteristics and hydrogen energy storage capacity of double perovskite hydrides X2VH6 (X = Li, Na, K) for hydrogen storage and clean energy applications
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Computational insights of double perovskite X2CaCdH6 (X = Rb and Cs) hydride materials for hydrogen storage applications: A DFT analysis
