Daan Verraes
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PhD Fellow (EA17) +32 (0)9 264 65 61 Tech Lane Ghent Science Park, Campus Ardoyen Technologiepark 46, 9052 Zwijnaarde, Belgium Office n°23 |
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Published
2025
Quantitative Description of Strongly Correlated Materials by Combining Downfolding Techniques and Tensor Networks , , Journal of Chemical Theory and Computation , 21, 16, 7830-7844 , 2025 , [+]
Dissertations
(D2) , Increasing the accuracy of quantum-mechanical simulations for strongly correlated functional materials by designing effective Hamiltonians , , Supervisor(s): Prof. Dr. ir. Veronique Van Speybroeck; Prof. Frank Verstraete , 2023
2022 - 2024
DFT+TN: A new method to accurately model complex materials from first principles , , FEARS 2025 , Ghent Belgium , Mon, 13/10/2025
First-Principles Evidence for Strongly Correlated Superconductivity Driven by Structural Variations in La3Ni2O7 , , International Conference on Strongly Correlated Quantum Materials (ICSCQM) , Hvar, Croatia , Sun, 12/10/2025 to Fri, 17/10/2025
Quantitative Description of Strongly Correlated Materials by Combining Downfolding Techniques and Tensor Networks , , International Conference on Strongly Correlated Quantum Materials (ICSCQM) , Hvar, Croatia , Sun, 12/10/2025 to Fri, 17/10/2025
Deriving Effective Hamiltonians for Strongly Correlated Materials: A Systematic Schrieffer-Wolff Approach , , CTEST 2025 , Copenhagen Denmark , Wed, 18/06/2025 to Sat, 21/06/2025
Evidence for Strongly Correlated Superconductivity in La3Ni2O7 from First Principles , , Role of Topology, Dimensionality and Correlations in Unconventional Superconductivity , Les Diablerets, Switzerland , Sun, 04/05/2025 to Fri, 09/05/2025
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Preface First
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