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

Hoogleraar

Faculteit Science and Engineering

Telefoon:

050 36 38046

E-mail:

e.van.der.giessen rug.nl

ORCID Research Portal

Publicaties

C9orf72 polyPR directly binds to various nuclear transport components

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

Onderzoeksoutput › › peer review

C9orf72 polyPR interaction with the nuclear pore complex

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

Onderzoeksoutput › › 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-mei-2024, In: Acta Materialia. 270, 17 blz., 119788.

Onderzoeksoutput › › 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 blz.

Onderzoeksoutput › › 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, blz. 5491–5502 12 blz.

Onderzoeksoutput › › 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.

Onderzoeksoutput › › 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.

Onderzoeksoutput: Voordruk ›

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, blz. 420a-421a 2 blz.

Onderzoeksoutput ›

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 blz., e2221804120.

Onderzoeksoutput › › peer review

Dislocation Dynamics for Plasticity Boundary Value Problems

van der Giessen, E. & Needleman, A., 2022, Encyclopedia of Materials: Metals and Alloys. Oxford: Elsevier, Vol. 4. blz. 541-551 11 blz.

Onderzoeksoutput › › peer review

Lees meer

Alle (375) publicaties

Pers/media

Expert in episode of NCRV television show Willem Wever

Giessen, van der, E.

19/07/2014

Pers / media: Onderzoek ›

Alle (1) pers/media

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