Molecular Modelling & Engineering Group
We are a research group based in the Department of Chemical Engineering @ University College London. We work at the interface between computational physical chemistry and chemical engineering. Our research is focused on the application of molecular simulation methods to tackle problems in chemical and biochemical engineering.
Research Themes
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Theory and Simulations of Nucleation
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Crystallization Collective Variables
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Conformational Flexibility of Organic Molecules in Solution
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Beyond Lattice Energy landscapes in Crystal Structure Prediction
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Controlling Chemical Potential in finite-sized simulations with CμMD
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Enhanced Sampling Method Development
Publications
Code, Tutorials, Documentation & Notes
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PSSP II online notes
teaching
Online notes for the UCL PSSI course, with notebook & exercises
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Molecular Thermodynamics online notes
teaching
An open source landing website with supporting pages and integrated blog
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PyPol
source + documentation
Python-based implementation of the workflow described in Francia et al. CG&D 2020
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Mean Force Integration
source + examples
Python implementation of the MFI method, described in Marinova et al. JPC 2019
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CmuMD
source + documentation + tutorial
Implementation for PLUMED2 of the CmuMD algorithm, described in Perego et al. JPC 2015
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NNucleate
source + documentation
Approximate expensive nucleation collective variables as described in Dietrich et al. JCTC 2023.
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LLPS in N-constrained ensembles
example notebooks
Postprocess liquid-droplet nucleation simulations (& experiments) to extract information from steady-state system configurations.
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NaCl(aq) nucleation rates
dataset + notebook
A collection of NaCl(aq) nucleation rate estimates, featured in Finney and Salvalaglio, WIREs 2023.
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Critical micelle concentration prediction models with uncertainty quantification.
source + example notebooks
Source code, notebooks, and paper as reported in "Analyzing the Accuracy of Critical Micelle Concentration Predictions using Deep Learning" A Moriarty et al. JCTC 2023.