Advances in manufacturing process technology are key ensembles for the production of
integrated circuits in the sub-micrometer region. It is of paramount importance to assess the …

This paper presents the UQpy software toolbox, an open-source Python package for general
uncertainty quantification (UQ) in mathematical and physical systems. The software serves …

Recently developed physics-informed deep learning is regarded as a transformative
learning philosophy that has been applied in many scientific domains, but such applications …

A general adaptive approach rooted in stratified sampling (SS) is proposed for sample-
based uncertainty quantification (UQ). To motivate its use in this context the space-filling …

Industrial facilities, as an essential part of socio-economic systems, are susceptible to
disruptions caused by earthquakes. Such disruptions may result from direct structural …

Management of the airframe digital twin (DT) and its real equivalent for reliability, safety and
economic considerations requires, as one component, a probabilistic treatment of the …

Uncertainty is an inherent feature of both properties of physical systems and the inputs to
these systems that needs to be quantified for cost effective and reliable designs. The states …

In this paper, we have conducted a probabilistic tsunami hazard assessment (PTHA) for
Hong Kong (China) and Kao Hsiung (Taiwan), considering earthquakes generated in the …

Modern performance evaluation and design procedures for structural systems against
severe natural hazards generally require the propagation of uncertainty through the …

This paper proposes a novel fully probabilistic framework for the performance‐based
seismic design of structures and uses tuned inerter dampers (TID) installed in civil …