Chemprop: A Machine Learning Package for Chemical
Deep learning has become a powerful and frequently employed tool for the prediction of molecular properties, thus creating a need for open-source and versatile software solutions that can
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Czytaj więcej +Uncertainty quantification of residual strength post lightning
In the fol- lowing sections, we systematically describe multi-physical compu- tational framework involving lightning strike and mechanical analysis, integration of machine learning models
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Czytaj więcej +Optimized sparse polynomial chaos expansion with entropy
Abstract Sparse Polynomial Chaos Expansion (PCE) is widely used in various engineering fields to quantitatively analyse the influence of uncertainty, while alleviating the problem of dimensionality
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Czytaj więcej +Abstract
MECHANICAL PROPERTIES AND THEIR QUANTIFICATION PARTICULARLY WHEN TRANSITING FROM ELASTIC TO PLASTIC STATE ON MATERIALS CUT BY AWJ 1Marek Šafář - 2Marta
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Czytaj więcej +COSSAN SOFTWARE: A MULTIDISCIPLINARY AND
In addition, in many engineering fields computational approaches and virtual prototypes are used to support and drive the design of new components, structures and systems. A general purpose
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Czytaj więcej +Resilience in Mechanical Engineering – A Concept for
Resilience in Mechanical Engineering - A Concept for Controlling Uncertainty during Design, Production and Usage Phase of Load-Carrying Structures
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Czytaj więcej +Reliability Science and Engineering: a catalyst for
The latest research achievements in the fields of (complex) system reliability theory, reliability statistics, reliability mathematics, reliability design for structures and systems, uncertainty quantification,
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