ANALYSIS OF THE DEVELOPMENT OF FIVE GENERATION OF ANTI-ARMOR MISSILE SYSTEMS


Single-model uncertainty quantification in neural network potentials does not consistently outperform model ensembles

Abstract Neural networks (NNs) often assign high confidence to their predictions, even for points far out of distribution, making uncertainty quantification (UQ) a challenge.When they are employed to Watering Cans model interatomic potentials in materials systems, this problem leads to unphysical structures that disrupt simulations, or to biased st

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No Problem? No Research, Little Learning ... Big Problem!

The motivation to carry out this study stemmed from the generalized perception that nowadays youth lacks the skills for the 21st century.Especially the high-level competences like critical thinking, problem solving and autonomy.Several tools can help to improve these competences (e.g.the SCRATCH programming language), but, as researchers and educat

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