Expertises
Chemistry
- Coupled Cluster
- Crystalline Material
- Diffusion Monte Carlo
- Thermodynamic Potential
- Tight Binding Model
Engineering
- Nodes
Physics
- Broken Symmetry
- Photonics
Organisaties
Publicaties
2025
Supporting scripts to: Emergence of Imaginary Time Crystals in the non-Hermitian Su-Schrieffer-Heeger model (2025)[Dataset Types › Dataset]. Zenodo. Slootman, E., Eek, L., Morais Smith, C. & Arouca, R.https://doi.org/10.5281/zenodo.15149008Emergence of Imaginary Time Crystals in the non-Hermitian Su-Schrieffer-Heeger model (2025)[Working paper › Preprint]. ArXiv.org. Slootman, E., Eek, L., Smith, C. M. & Arouca, R.https://doi.org/10.48550/arXiv.2504.19315Is fixed-node diffusion quantum Monte Carlo reproducible? (2025)[Working paper › Preprint]. ArXiv.org. Pia, F. D., Shi, B., Al-Hamdani, Y. S., Alfè, D., Anderson, T., Barborini, M., Benali, A., Casula, M., Drummond, N., Dubecký, M., Filippi, C., Kent, P., Krogel, J., López Ríos, P., Lüchow, A., Luo, Y., Michaelides, A., Mitas, L., Nakano, K., … Zen, A.https://doi.org/10.48550/arXiv.2501.12950Causing and Curing Headaches with Quantum Monte Carlo: Accurate Forces for Machine-Learned Force Fields (2025)[Contribution to conference › Poster] 22nd International Workshop on Computational Physics and Materials Science: Total Energy and Force Methods 2025. Slootman, E., Charkin-Gorbulin, A., Shinde, R. L., Moroni, S., Poltavsky, I., Tkatchenko, A. & Filippi, C.
2024
Machine-Learning Models from Accurate QMC Forces: The Case Study of Ethanol (2024)[Contribution to conference › Poster] MESA+ Day 2024. Slootman, E., Poltavsky, I., Shinde, R. L., Cocomello, J., Moroni, S., Tkatchenko, A. & Filippi, C.Accurate Quantum Monte Carlo Forces for Machine-Learned Force Fields: Ethanol as a Benchmark (2024)Journal of chemical theory and computation, 20(14), 6020-6027. Slootman, E., Poltavsky, I., Shinde, R., Cocomello, J., Moroni, S., Tkatchenko, A. & Filippi, C.https://doi.org/10.1021/acs.jctc.4c00498Cornell-Holland Ab-initio Materials Package (CHAMP) (2024)[Dataset Types › Dataset]. Zenodo. Filippi, C., Shinde, R., Landinez Borda, E. J., Shepard, S., Slootman, E., Cuzzocrea, A., Azizi, V., López-Tarifa, P., Renaud, N., Umrigar, C. & Moroni, S.https://doi.org/10.5281/zenodo.11369537Breaking and resurgence of symmetry in the non-Hermitian Su-Schrieffer-Heeger model in photonic waveguides (2024)Physical Review Research, 6(2). Article 023140. Slootman, E., Cherifi, W., Eek, L., Arouca, R., Bergholtz, E. J., Bourennane, M. & Morais Smith, C.https://doi.org/10.1103/PhysRevResearch.6.023140Machine-Learning Models from Accurate QMC Forces: The Case Study of Ethanol (2024)[Contribution to conference › Poster] CTC Symposium 2024. Slootman, E., Poltavsky, I., Shinde, R. L., Cocomello, J., Moroni, S., Tkatchenko, A. & Filippi, C.TREX Symposium: Bridging Quantum Monte Carlo and High-Performance Simulations (2024)[Dataset Types › Dataset]. Zenodo. Filippi, C., Scemama, A., Casula, M., Rupp, M., Alavi, A., Jalby, W., Auweter, A., Hapka, M., Stich, I., Nakano, K., Skelin, M., Ceperley, D., Benali, A., Marzari, N., Zhang, S., Sukurma, Z., Slootman, E., Pierleoni, C., Carleo, G., … Gill, P.https://doi.org/10.5281/zenodo.10726799
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Universiteit Twente
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