Special Issue "Exploration Theories, Methods and Technologies: Latest Advances and Prospects"
Deadline for manuscript submissions: 30 November 2023 | Viewed by 3460
Interests: mineralization; geotectonics; metallogenic regularity; metallogenic prediction of rock deposits
With advances in methods and techniques applied to exploration, mineral exploration is becoming faster, more efficient and more cost-effective. Many new theories, methods, and technologies are used in mineral exploration, which play a key role in shortening exploration time, improving prospecting efficiency, and reducing exploration costs and environmental pollution. Thus, this Special Issue focuses on the new theories, methods and technologies in exploration studies. The main topics on which this Special Issue focuses include but are not limited to the following:
- Progress in metallogenic theory and models;
- Exploration of geochemical and geophysical methods and innovation;
- Mineral, isotope, and gas geochemical exploration;
- Exploration of remote sensing technology and innovation;
- Application examples of machine learning, big data, 3D visualization, and other technologies in mineral exploration.
Dr. Xin Chen
Prof. Dr. Youye Zheng
Manuscript Submission Information
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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2300 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- mineral exploration
- metallogenic theory and model
- geochemical exploration
- geophysical exploration
- isotope and gas geochemical exploration
- machine learning
- big data