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Experimental and Computational Geochemistry Laboratory
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  • About Us
    • Our Team
    • Mission and Approach
  • Experimental Facilities
    • Geochemistry laboratory
    • Teflon-lined Autoclave Reactors
    • High Temperature Furnace
    • PARR hydrothermal reactors
    • Titanium autoclave
  • Computational Capabilities
    • Quantum Chemical Modelling
    • Ab initio molecular dynamics
    • Geochemical Modelling
    • Mineral spectra
    • Machine‑learning molecular dynamics (MLMD)
    • Software and HPC Platforms
  • Case Studies
    • DFT: Adsorbates on Mineral Surfaces for carbon mineralisation
    • MLMD: On‑the‑Fly MLFFs for Diopside–Water Interfaces
    • Copper in hydrothermal fluids
    • How Germanium Sits in Zinc Ores: Experimental and Molecular Insights
    • Unravelling the Role of Potassium in Lode Gold Mineralisation
    • How Does Tungsten Travel in Ore-Forming Fluids?
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  • Computational Capabilities

Computational Capabilities

Geochemical Modelling

We are expert in applying geochemical modelling in unravelling different geological processes Our highlights Calculate mineral stabilities, phase diagrams, activity […]

Software and HPC Platforms

We apply a combination of open-source and licensed software, machine learning toolkits, and custom thermodynamic databases to support its integrated […]

Machine‑learning molecular dynamics (MLMD)

We train machine-learned potentials on high-quality DFT data to achieve first-principles accuracy at molecular dynamics speeds. This enables broad exploration […]

Ab initio molecular dynamics

We use ab initio molecular dynamics (AIMD) to uncover reaction mechanisms at mineral–water interfaces and in solution, incorporating explicit H₂O […]

Mineral spectra

We use quantum mechanical and ab initio molecular dynamics (QM/AIMD) models to predict infrared (IR), Raman, and X-ray absorption (XAS) […]

Quantum Chemical Modelling

Predict and optimise reactions for fluids, minerals and at mineral–fluid interfaces. We apply quantum mechanical methods (DFT) to quantify speciation, […]

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