Ralf Meyer

Ralf Meyer

Postdoctoral Associate

Massachusetts Institute of Technology

Ralf joined the group as a postdoctoral associate in November 2021. He received his Ph.D. from Graz University of Technology in Austria with Prof. Andreas Hauser. His Ph.D. focused on machine learning based local structure search. In the Kulik group, he is working on automated geometry optimization of transition metal complexes, the development of force fields and DFT corrections, and the data-driven discovery of novel mechnophores.

Interests
  • electronic structure theory
  • machine learning
  • materials design
Education

  • PhD in Chemistry, 2021

    Graz University of Technology

Publications

  1. Ligand Many-Body Expansion as a General Approach for Accelerating Transition Metal Complex Discovery (2024)
  2. Many-body Expansion Based Machine Learning Models for Octahedral Transition Metal Complexes" (2024)
  3. A Transferable Recommender Approach for Selecting the Best Density Functional Approximations in Chemical Discovery (2023)
  4. Ligand Additivity Relationships Enable Efficient Exploration of Transition Metal Chemical Space (2022)