About the Journal

PUBLICATION FREQUENCY: Semiannual

First issue: January to June
Second issue: July to December

JOURNAL OF ADVANCED MINING MODELING (JAMM)

Journal Description

Journal of Advanced Mining Modeling (JAMM) is a peer-reviewed scientific journal published by the National University of Trujillo, focused on the dissemination of original research in mining engineering, advanced mining system modeling, and the application of artificial intelligence across the mining value chain.

The journal publishes scientific articles, case studies, review papers, computational models, and technological developments aimed at improving efficiency, sustainability, and safety in mining operations.

Open Access

JAMM is an open-access journal. All articles are freely available immediately after publication.

Article Processing Charges (APC)

No submission, processing, or publication fees are charged.

Aims and Scope

The journal covers topics related to the entire mining value chain and promotes interdisciplinary research integrating engineering, computer science, mathematical modeling, data science, and sustainable mining.

Geostatistics

Spatial analysis of geological and mining data
Geostatistical modeling and kriging techniques
Uncertainty assessment of mineral resources and reserves

Mining Safety

Risk management and accident prevention
Occupational health and safety management systems
Monitoring and control of mining working conditions

Mining and Environment

Environmental management and impact monitoring
Tailings and mine waste management
Mine closure, remediation, and site rehabilitation

Machine and Deep Learning

Predictive models applied to the mining value chain
Deep learning for computer vision and mining sensors
Anomaly detection and predictive maintenance of equipment

Geomechanics

Slope stability and underground excavation analysis
Numerical modeling of rock masses
Geomechanical characterization and ground support design

Mine Planning

Strategic, tactical, and operational mine planning
Open-pit and underground mine design
Optimization of mining sequences and equipment fleets

Tunneling

Design and construction of mining tunnels
Excavation methods, support, and lining systems
Ventilation, haulage, and service tunnels

Mineral Processing

Comminution, grinding, and classification of minerals
Flotation, leaching, and concentration processes
Optimization of metallurgical circuits and metal recovery

Geology

Geological mapping and 3D geological modeling
Lithological, structural, and alteration characterization
Economic geology and grade control

Editorial Policies and Preservation

Authors retain copyright and grant the journal a non-exclusive license to publish, distribute, and preserve their work.

Sponsorship Statement

JAMM is funded and managed by the National University of Trujillo through its editorial office and does not receive external or private funding.

The journal operates on a non-profit basis.

Privacy Statement

Personal information provided to the journal will be used exclusively for the stated editorial purposes and will not be shared with third parties.

History and Digital Preservation

JAMM was established to strengthen research in mining engineering, advanced modeling, and artificial intelligence applied to the extractive industry.

The journal participates in the LOCKSS and CLOCKSS digital preservation systems.

About the Journal