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You can publish an open access article in this journal

A gold open-access journal from ICE Publishing. The journal’s Article publication charge (£1,250) will be waived for submissions made in the first 12 months. This period will begin when the journal’s ScholarOne website opens in April 2024.

ISSN: 3029-0414
eISSN: 3029-0422
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This journal is open access

Aims and scope

Machine Learning and Data Science in Geotechnics (MLaG) aims to disseminate original contributions in the emerging fields of machine learning, artificial intelligence, big data analysis, and statistical approaches, with a focus on addressing various geotechnical engineering challenges.

Submitted papers should explicitly or implicitly utilise and/or develop these themes to tackle specific geotechnical engineering scenarios or applications.

The scope of the journal encompasses geotechnical problems ranging from micro-scale concerns, such as coupled effects in soils as multiphase materials, to large-scale challenges, including different infrastructure or geostructures like tunnels, slopes, embankments, bridges, foundations, railways, mines and geoenvironmental systems.

sustainable

This journal is aligned with our sustainable structures and infrastructures goal

We recognise the transformative power of sustainable engineering, design and building practices in creating a world where our planet and its inhabitants can thrive.

SDG 3 Good health & well-being
SDG 6 Clean water & sanitation
SDG 7 Affordable & clean energy
SDG 9 Industry, innovation & infrastructure
SDG 11 Sustainable cities & communities
SDG 12 Responsible consumption & production
SDG 13 Climate action
Find out about our sustainable structures and infrastructures goal