prof. dr. ir. E. (Erik) van der Giessen

Full Professor

Faculty of Science and Engineering

Telephone:

+31 50 36 38046

E-mail:

e.van.der.giessen rug.nl

ORCID Research Portal

Publications

C9orf72 polyPR directly binds to various nuclear transport components

Jafarinia, H., van der Giessen, E. & Onck, P. R., 14-Mar-2024, In: eLife. 12, 14 p., RP89694.

Research output: Contribution to journal › Article › Academic › peer-review

C9orf72 polyPR interaction with the nuclear pore complex

Jafarinia, H., Van der Giessen, E. & Onck, P. R., 15-Oct-2024, In: Biophysical Journal. 123, 20, p. 3533-3539 7 p.

Research output: Contribution to journal › Article › Academic › peer-review

Charge of karyopherins and nuclear FG-Nups are key ingredients of nucleocytoplasmic transport

Mishra, A., Van der Giessen, E. & Onck, P. R., 26-Nov-2024, (E-pub ahead of print) In: Biophysical Journal. 124, 12 p.

Research output: Contribution to journal › Article › Academic › peer-review

Efficiency, accuracy, and transferability of machine learning potentials: Application to dislocations and cracks in iron

Zhang, L., Csányi, G., van der Giessen, E. & Maresca, F., 15-May-2024, In: Acta Materialia. 270, 17 p., 119788.

Research output: Contribution to journal › Article › Academic › peer-review

Present and future of atomistic simulations of dislocation plasticity

Maresca, F. & van der Giessen, E., 26-Apr-2024, In: KIM REVIEW. 2, 04, 4 p.

Research output: Contribution to journal › Comment/Letter to the editor › Academic › peer-review

A One-Bead-Per-Saccharide (1BPS) Model for Glycosaminoglycans

Shakibi, S., Onck, P. R. & Van der Giessen, E., 22-Aug-2023, In: Journal of Chemical Theory and Computation. 19, 16, p. 5491–5502 12 p.

Research output: Contribution to journal › Article › Academic › peer-review

Atomistic fracture in bcc iron revealed by active learning of Gaussian approximation potential

Zhang, L., Csányi, G., van der Giessen, E. & Maresca, F., Dec-2023, In: Npj computational materials. 9, 1, 217.

Research output: Contribution to journal › Article › Academic › peer-review

Efficient, Accurate, and Transferable Machine Learning Potentials: Application to Dislocations and Cracks in Iron

Zhang, L., Csanyi, G., van der Giessen, E. & Maresca, F., 19-Jul-2023, (Submitted) arXiv.

Research output: Working paper › Preprint › Academic

Extracellular proteoglycans: A multiscale computational study

Shakibi, S., Onck, P. R., Van, E. & van der Giessen, E., 10-Feb-2023, In: Biophysical Journal. 122, 3 Supplement 1, p. 420a-421a 2 p.

Research output: Contribution to journal › Meeting Abstract › Academic

Phase separation of intrinsically disordered FG-Nups is driven by highly dynamic FG motifs

Dekker, M., Van der Giessen, E. & Onck, P. R., 20-Jun-2023, In: Proceedings of the National Academy of Sciences of the United States of America. 120, 25, 11 p., e2221804120.

Research output: Contribution to journal › Article › Academic › peer-review

All (376) publications

Press/media

Expert in episode of NCRV television show Willem Wever

Giessen, van der, E.

19/07/2014

Press/Media: Research › Popular

All (1) press/media

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