Abstract:Although stimuli-responsive release systems have attracted great attention in medical applications, there has been no attempt at “precise” deep profile control based on such systems, which is greatly need to improve oil recovery. With this in mind, we provided a facile and simple strategy to prepare stimuli-responsive composite capsules of amphiphilic dendrimers–poly(styrene sulfonic acid) sodium/halloysite nanotubes (HNTs) via layer-by-layer (LbL) self-assembly technique, controlling the release crosslinking … Show more
“…For chemical applications, ensemble methods which involve the training and evaluation of several independently trained statistical models to obtain the quantities of interest (average and variance for an observation) have been used. 36,37 Despite their widespread use their disadvantage is the high computational cost they incur. An alternative to this are methods based on Gaussian process regression 38,39 .…”
The value of uncertainty quantification on predictions for trained neural networks (NNs) on quantum chemical reference data is quantitatively explored. For this, the architecture of the PhysNet NN was suitably...
“…For chemical applications, ensemble methods which involve the training and evaluation of several independently trained statistical models to obtain the quantities of interest (average and variance for an observation) have been used. 36,37 Despite their widespread use their disadvantage is the high computational cost they incur. An alternative to this are methods based on Gaussian process regression 38,39 .…”
The value of uncertainty quantification on predictions for trained neural networks (NNs) on quantum chemical reference data is quantitatively explored. For this, the architecture of the PhysNet NN was suitably...
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