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Materials Modeling & Design Group

We perform research in designing, modeling and investigating properties of nanostructures and porous materials for Energy, Enviromental and Health applications.

🏢 MMDG

The Materials Modeling and Design Group (MMDG), in the Department of Chemistry at the University of Crete, was established in 2001. We perform research in designing, modeling and investigating properties of nanostructures and porous materials for Energy, Enviromental and Health applications.

MMDG is supervised by Professor George E. Froudakis.

CompChem

The MMDG group has broad experience in modeling nanomaterials. Multi-scale computational techniques are developed in-house and used for simulating large systems with accurate quantum chemistry methods. Most simulations are based on Density Functional Theory (DFT) and Monte Carlo methodology.

In addition, the group has considerable experience in high–accuracy ab–initio techniques (MP2–4, CC, CAS–SCF, MRDCI) for the study of structural, bonding, electronic and spectroscopic properties of molecules and clusters. Recently, a new computational methodology for large-scale screening of materials with the use of Machine Learning algorithms (ML) was developed.

🔭 Main Research Areas

Our research focuses on:

  • Material informatics
  • Light gas adsoption and separation from nanoporous manterials
  • Drug delivery

For more information 👉 our official website.

🚀 Software

AIdsorb: Python package for deep learning on molecular point clouds

AIdsorb logo

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MOXελ: Python package for parallel calculation of energy voxels

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Requires Python 3.10+ Licensed under GPL-3.0-only Read the Docs pip install pymoxel Documentation Status PyPI version

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MOFSynth-QM

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Requires Python 3.10+ Read the Docs PyPI Licensed under GPL-3.0-only

Online App

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MOFSynth: Python package for MOF synthesizability evaluation

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Requires Python 3.10+ Read the Docs PyPI Licensed under GPL-3.0-only

Online App

Useful links:

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  1. moxel moxel Public

    Forked from adosar/moxel

    Python package for parallel calculation of energy voxels.

    Python 2

  2. mofsynth mofsynth Public

    Forked from livaschar/mofsynth

    Python package for MOF synthesizability evaluation

    Python 2

  3. retnet retnet Public

    Forked from adosar/retnet

    A 3D ConvNet for Reticular Chemistry.

    Python 1

  4. .github .github Public

  5. aidsorb aidsorb Public

    Forked from adosar/aidsorb

    Python package for deep learning on molecular point clouds.

    Python 1

  6. mofsynth_qm mofsynth_qm Public

    Forked from livaschar/mofsynth_qm

    Python package for MOF synthesizability evaluation

    Python

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