The fields of machining learning and artificial intelligence are rapidly expanding, impacting
nearly every technological aspect of society. Many thousands of published manuscripts …

In the past, data in which science and engineering is based, was scarce and frequently
obtained by experiments proposed to verify a given hypothesis. Each experiment was able …

Engineering is evolving in the same way than society is doing. Nowadays, data is acquiring
a prominence never imagined. In the past, in the domain of materials, processes and …

Lithium-ion batteries are widely used in the automobile industry (electric vehicles and hybrid
electric vehicles) due to their high energy and power density. However, this raises new …

Sparse model identification by means of data is especially cumbersome if the sought
dynamics live in a high dimensional space. This usually involves the need for large amount …

Digital twins can be defined as digital representations of physical entities that employ real‐
time data to enable understanding of the operating conditions of these entities. Here we …

Because of physical assumptions and numerical approximations, low-order models are
affected by uncertainties in the state and parameters, and by model biases. Model biases …

Real-time soft tissue characterization is significant to robotic assisted minimally invasive
surgery for achieving precise haptic control of robotic surgical tasks and providing realistic …

Dynamic soft tissue identification plays an important role in robotic‐assisted minimally
invasive surgery to achieve realistic force feedback for precise and safe surgical operations …

In this work we explore the possibilities of reduced order modeling for augmented reality
applications. We consider parametric reduced order models based upon separate (affine) …