T. Braeckevelt
Investigating electron correlation effects via advanced many-body techniques to describe the photovoltaic properties of complex perovskites
Increasing the accuracy of quantum-mechanical simulations for strongly correlated functional materials by designing effective Hamiltonians
Defect migration in metal halide perovskites using machine learning potentials
Orthogonal electronic structure engineering in nanoporous materials for the design of new-generation photocatalysts for clean energy conversion.
Development of on-the-fly machine learning potentials to investigate phase transformation mechanisms in perovskites
Defect migration in metal halide perovskites using machine learning potentials
Exploring the black-to-yellow phase transformation mechanism of metal halide perovskites via machine learning potentials
High-throughput screening of 2D perovskites for game-changing photovoltaics
Stabilizing the perovskite phase of cesium lead iodide thin films via interfacial strains
ISBN/ISSN:
Poster
Conference / event / venue
MolSim-2020: Understanding Molecular Simulation
Amsterdam, The Netherlands
Monday, 6 January, 2020 to Friday, 17 January, 2020
Pages
