Dekker, M., Schram, R., Ou, J., & Panja, D. (2022). Hidden dependence of spreading vulnerability on topological complexity. Physical Review. E, Statistical, nonlinear, and soft matter physics, 105(5), 1-13. [054301]. https://doi.org/10.1103/PhysRevE.105.054301
Schoot, R. V. D., Bruin, J. D., Schram, R., Zahedi, P., Boer, J. D., Weijdema, F., Kramer, B., Huijts, M., Hoogerwerf, M., Ferdinands, G., Harkema, A., Willemsen, J., Ma, Y., Fang, Q., Hindriks, S., Tummers, L., & Oberski, D. (2021). An open source machine learning framework for efficient and transparent systematic reviews. Nature Machine Intelligence, 3(2), 125-133. https://doi.org/10.1038/s42256-020-00287-7
2020
Scholarly publications
Ferdinands, G. (Author), Schram, R. (Author), Van de Schoot, R. (Author), & De Bruin, J. (Author). (2020). Scripts for 'ASReview: Open Source Software for Efficient and Transparent Active Learning for Systematic Reviews'. Software, Zenodo. https://doi.org/10.5281/zenodo.4024122
Schram, R. D., & Barkema, G. T. (2018). Simulation of ring polymer melts with GPU acceleration. Journal of Computational Physics, 363, 128-139. https://doi.org/10.1016/j.jcp.2018.02.027
2017
Scholarly publications
Schram, R. D., Barkema, G. T., Bisseling, R. H., & Clisby, N. (2017). Exact enumeration of self-avoiding walks on BCC and FCC lattices. Journal of Statistical Mechanics: Theory and Experiment, 2017(8), [083208]. https://doi.org/10.1088/1742-5468/aa819f