Reconstruction of Nuclear Ensemble Approach Electronic Spectra Using Probabilistic Machine Learning
Sign Up to like & getrecommendations! Published in 2022 at "Journal of Chemical Theory and Computation"
DOI: 10.1021/acs.jctc.2c00004
Abstract: The theoretical prediction of molecular electronic spectra by means of quantum mechanical (QM) computations is fundamental to gain a deep insight into many photophysical and photochemical processes. A computational strategy that is attracting significant attention… read more here.
Keywords: electronic spectra; nea; probabilistic machine; nuclear ensemble ... See more keywords
Probabilistic machine learning for detection of tightening torque in bolted joints
Sign Up to like & getrecommendations! Published in 2022 at "Structural Health Monitoring"
DOI: 10.1177/14759217211054150
Abstract: Observing the loss of tightening torque using modal parameters is challenging due to the variability and nonlinear effects in bolted joints. Thus, this paper proposes a combined application of two probabilistic machine learning methods. First,… read more here.
Keywords: probabilistic machine; machine learning; tightening torque; bolted joints ... See more keywords
Investigating the Effect of Temperature History on Crystal Morphology of Thermoplastic Composites Using In Situ Polarized Light Microscopy and Probabilistic Machine Learning
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DOI: 10.3390/polym15010018
Abstract: Processing parameters including temperature history affect the morphology of semicrystalline thermoplastic composites, and in turn their performance. In addition, the competition between spherulite growth in resin-rich areas, and transcrystallinity growth from fiber surfaces, determines the… read more here.
Keywords: temperature history; growth; morphology; probabilistic machine ... See more keywords