MATLAB and Simulink for Artificial Intelligence
MATLAB and Simulink enable engineers to design, simulate, and deploy AI algorithms, models, and AI-driven systems.
Metals, Materials and Mining
Optimize throughput, analyze sensor data, create predictive maintenance systems, and increase safety
The mining industry predates advanced modeling and simulation software and the computers it runs on by thousands of years. Today, however, accessing and extracting minerals are becoming increasingly complex tasks. To achieve better results, industry experts heavily rely on modeling and simulation software and the use of Artificial Intelligence. The data they collect from various mining equipment and machines have the ability to make excellent opportunities for mining innovation and can help the sector identify solutions for business difficulties that are now being faced.
Metallurgists and process engineers utilize MathWorks®, COMSOL®, and Speedgoat products to maximize throughput, improve safety, and minimize downtime.
Engineers use our products to:
- Analyze real-time sensor data
- Develop predictive maintenance systems
- Model and simulate mining operations
- Automate monetization processes for control loop performance, and detect pipeline leaks and corrosion spred
- Leverage artificial intelligence systems and historical data to quickly perform fault detection and diagnosis
- Model and simulate the plant and the equipment to detect failures and improve process performance
- Test and validate design using virtual commissioning
- Determine optimal drilling locations with seismic data analysis
- Modeling small and large scale mine dewatering
- Simulate the feasibility and hydrogeological impact of a future mine operation
- Use 3D integrated hydrogeological numerical model to perform groundwater modeling
- Modeling pit lake flooding after closing a mine
- Perform stability assessment of an underground mine
Products
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MATLAB
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Simulink
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Database Toolbox
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Deep Learning Toolbox
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Industrial Communication Toolbox
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MATLAB Compiler
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MATLAB Compiler SDK
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Simscape Fluids
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Simulink Control Design
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Predictive Maintenance Toolbox
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Signal Processing Toolbox
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Statistics and Machine Learning Toolbox
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Simscape Electrical
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System Identification Toolbox
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SimEvents
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Stateflow
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Global Optimization Toolbox
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COMSOL Multiphysics®
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COMSOL Compiler™
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COMSOL Server™
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AC/DC
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RF
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Wave Optics
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Ray Optics
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Plasma
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Semiconductor
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CFD
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Mixer
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Polymer Flow
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Microfluidics
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Porous Media Flow
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Subsurface Flow
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Pipe Flow
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Molecular Flow
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Metal Processing
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Heat Transfer
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Structural Mechanics
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Nonlinear Structural Materials
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Composite Materials
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Geomechanics
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Fatigue
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Rotordynamics
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Multibody Dynamics
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MEMS
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Acoustics
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Chemical Reaction Engineering
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Battery Design
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Fuel Cell & Electrolyzer
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Electrodeposition
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Corrosion
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Electrochemistry
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Optimization Module
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Uncertainty Quantification Module
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Material Library
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Particle Tracing Module
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Liquid & Gas Properties Module
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LiveLink™ for MATLAB®
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LiveLink™ for Simulink®
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LiveLink™ for Excel®
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CAD Import Module
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Design Module
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ECAD Import Module
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LiveLink™ for SOLIDWORKS®
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LiveLink™ for Inventor®
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LiveLink™ for AutoCAD®
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LiveLink™ for Revit®
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LiveLink™ for PTC® Creo® Parametric™
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LiveLink™ for PTC® Pro/ENGINEER®
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LiveLink™ for Solid Edge®
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File Import for CATIA® V5
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Trainings
Industrial Automation & MachineryTraining Curricula
Electrification Curriculum
Predictive Maintenance and Digital Twins Curriculum
Safety-Critical Software Design Curriculum
Industrial Automation & Machinery Training Grid
Blogs and user stories
Stay up to date with the industry's latest trends and learn the best pactices to innovate and optimize your engineering designs.
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