Expertise
Chemistry
- Crystalline Material
- Thermodynamic Potential
- Tight Binding Model
- Coupled Cluster
- Diffusion Monte Carlo
Mathematics
- Monte Carlo
Physics
- Broken Symmetry
- Fermion
Organisations
Publications
2026
Machine-Learned Excited-State Dynamics with quantum Monte Carlo: Insights from Azomethane (2026)[Contribution to conference › Poster] NWO Physics 2026. Annarelli, A., Slootman, E. & Filippi, C.
2025
Reproducibility of fixed-node diffusion Monte Carlo across diverse community codes: The case of water-methane dimer (2025)The Journal of chemical physics, 163(10). Article 104110. Della Pia, F., Shi, B. X., Al-Hamdani, Y. S., Alfé, D., Anderson, T. A., Barborini, M., Benali, A., Casula, M., Drummond, N. D., Dubecký, M., Filippi, C., Kent, P. R. C., Krogel, J. T., López Ríos, P., Lüchow, A., Luo, Y., Michaelides, A., Mitas, L., Nakano, K., … Zen, A.https://doi.org/10.1063/5.0272974Emergence of imaginary time crystals in the non-Hermitian Su-Schrieffer-Heeger model (2025)Physical review B: Covering condensed matter and materials physics, 112(8). Article 085149. Slootman, E., Eek, L., Morais Smith, C. & Arouca, R.https://doi.org/10.1103/ttny-t2gsSupporting 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., Morais Smith, C. & Arouca, R.https://doi.org/10.48550/arXiv.2504.19315Is fixed-node diffusion quantum Monte Carlo reproducible? (2025)[Working paper › Preprint]. ArXiv.org. Della Pia, F., 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+ Meeting 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.11369537
Research profiles
Address

University of Twente
Carré (building no. 15), room C4037
Hallenweg 23
7522 NH Enschede
Netherlands
University of Twente
Carré C4037
P.O. Box 217
7500 AE Enschede
Netherlands