Elsevier's open-access journal GEOAI) presents a time-sensitive publication opportunity for researchers working at the intersection of machine learning, earth sciences, and geo-engineering.
⚡ The Essential Highlights
100% Free Open Access: Full waiver on all Article Processing Charges (APC) for submissions received by August 31, 2026.
Scopus Indexed: Formally indexed in the Scopus database for maximum academic visibility and metrics tracking.
Core Focus: Bridging artificial intelligence, data science, and physics-informed modeling with traditional earth science and geotechnical disciplines.
📌 Journal Summary at a Glance
| Feature | Details |
| Journal Name | Geodata and AI (GEOAI) |
| Publisher | Elsevier |
| ISSN | 3050-483X |
| Access Model | Gold Open Access |
| APC Status | 100% Free (Until August 31, 2026) |
| Indexing | Scopus |
🎯 Target Scope & Disciplines
The journal accepts cross-disciplinary submissions across several key domains:
Geotechnical & Civil Engineering: Site characterization, soil/rock mechanics, tunneling, and infrastructure analysis.
Geohazards & Risk Mitigation: Machine learning for landslides, earthquakes, liquefaction, and climate-induced risks.
Geophysics & Remote Sensing: Data-driven geoscience, spatial analytics, and geo-environmental monitoring.
AI & Machine Learning: Physics-informed neural networks (PINNs), Bayesian inference, uncertainty quantification, and public benchmark datasets.
Comments
Post a Comment
Have a Say?..Note it down below.