The advent of technology including big data has allowed machine learning technology to
strengthen its place in solving different science and engineering complex problems …

Recently deep learning (DL), as a new data‐driven technique compared to conventional
approaches, has attracted increasing attention in geophysical community, resulting in many …

For many systems in science and engineering, the governing differential equation is either
not known or known in an approximate sense. Analyses and design of such systems are …

The significant growth of artificial intelligence (AI) methods in machine learning (ML) and
deep learning (DL) has opened opportunities for fluid dynamics and its applications in …

Abstract Machine learning (ML) has become the most successful branch of artificial
intelligence (AI). It provides a unique opportunity to make structural engineering more …

In recent years, we have entered the so-called Fourth Paradigm with the regular production
of huge amount of observational data. Big data is often characterized by the three 'V's …

The pursuit of artificial intelligence dates back to the time computers in a modern sense were
born [RND10]. Ever since, computer science has been partially dedicated to finding the key …

The growing volume of information databases presents opportunities for advanced data
analysis techniques from machine learning (ML) research. Practical applications of ML are …

Geosciences is a field of great societal relevance that requires solutions to several urgent
problems facing our humanity and the planet. As geosciences enters the era of big data …

This paper provides a short overview of how to use machine learning to build data-driven
models in fluid mechanics. The process of machine learning is broken down into five …