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Börries von Seggern

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • physics.chem-ph2

identity via Semantic Scholar / OpenAlex

most citedMachine learning frontier orbital energies of nanodiamonds

8 citations · 8 across the 2 of their papers we have counts for

collaborators

2 papers

physics.chem-ph2026

Methods for Inferring Interaction Potentials from Cross-Linking Mass Spectrometry Data

Börries von Seggern, Mohsen Sadeghi

Cross-linking mass spectrometry (XL-MS) has emerged as a powerful quantitative technique for probing intra-protein structural information as well as protein-protein interactions at…

physics.chem-ph2022★ 8 cited

Machine learning frontier orbital energies of nanodiamonds

Thorren Kirschbaum, Börries von Seggern, Joachim Dzubiella +2

Nanodiamonds have a wide range of applications including catalysis, sensing, tribology and biomedicine. To leverage nanodiamond design via machine learning, we introduce the new da…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.