ECML research environment
Program
Modeling, simulation, life-cycle assessment, and AI tools supported for ECML research.
From equations to decisions
Tools that move ideas into working models.
ECML supports an integrated computational environment for numerical analysis, machine learning, multiphysics simulation, process design, and environmental assessment.
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Numerical computing
MATLAB
Numerical modeling, optimization, data analysis, and dynamic control for chemical and water processes.
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Scientific programming
Python
Machine learning, scientific computing, workflow automation, and reproducible data analysis.
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Life-cycle assessment
openLCA
Life-cycle modeling and environmental impact assessment across products, energy, and process systems.
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Multiphysics simulation
COMSOL
Coupled modeling of transport, reactions, membranes, heat transfer, and process phenomena.
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Process design
Process simulator
Flowsheet modeling, mass and energy balances, unit-operation design, and integrated process evaluation.
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Lab-supported access
AI assistants (ChatGPT, Claude)
ECML supports access to ChatGPT and Claude for literature exploration, coding, analysis, and research communication.