van der Spoel lab

The David van der Spoel lab works on the Alexandria Chemistry Toolkit (ACT) a machine learning software to derive force fields for molecular simulation from big data from quantum chemistry (See figure). The software allows to systematically evaluate how changes in the mathematical description of the energy function affect the reproduction of reference data.

The group have published a number of methodological papers describing new potential functions for noble gases, based on highest level quantum chemistry. One article shows the challenging and accurate prediction of the melting point of noble gas crystals (J. Chem. Theory Comput 20 (2024) 2362–2376). In another paper, they discovered that there are large sigma holes at the edge of the OH bond in water (J. Phys. Chem. Letters 158 (2024) 9974). A very recent paper based on machine learning using the ACT challenges the de-facto procedure to determine partial charges needed for molecular simulation. In the near future we hope to publish a complete physics-based force field for the simulation of proteins in solution.

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