… homopolymers or alternation copolymers. The class of polyolefins is given by homopolymers
and binary alternating copolymers that … of homopolymers and binary alternating copolymers …

… expansion of plastics by reducing the glass transition temperature (Tg) [1–… Machine-learning-based
predictive modeling of glass transition temperatures: A case of polyhydroxyalkanoate …

… usage of SMILES in prediction of glass transition temperatures [16, … some transition
temperature, the actual transition being … tool in de-“blackbox”-ing ML models. Current deep …

… precise determination of the glass transition temperatures (T g … polyhydroxyalkanoates
(PHAs), are becoming very promising as there are more than 300 potential PHAs and copolymers. …

… trained only with unfilled and 30% glass fiber. Surrogate ML models are trained in this study
to … for filled SFRP polymer system or isotropic CAE modelling in the case of unfilled system. …

… , CN; Lookman, T.; Marrone, BL Machine-learning-based predictive modeling of glass transition
temperatures: A case of polyhydroxyalkanoate homopolymers and copolymers. J. Chem. …

… of case studies, highlighting opportunities and limitations of ML-based methods compared to
conventional modelling … only as a function of temperature and pressure, without introducing …

… and create alternative prediction models, including algorithms … of materials (eg, glass transition
temperature of polymeric … proactive in forecasting how the concrete temperature changes…

… a r 2 value of 0.95 for the training set and 0.93 for the prediction set. All statistical results
suggest that the established QSPR models have good predictability. Furthermore, a new test set …

… Machine-learning-based predictive modeling of glass transition temperatures: A case of
polyhydroxyalkanoate homopolymers and copolymers. Journal of Chemical Information and …