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Dominic Hohs

2 papers hereh-index 577 citations10 works total

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

author position
  • middle author2

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

fields
  • cond-mat.mtrl-sci1
  • cs.CV1

identity via Semantic Scholar / OpenAlex

most citedMachine learning-based mass density model for hard magnetic 14:2:1 phases using chemical composition-based features

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2024

Synthetic dual image generation for reduction of labeling efforts in semantic segmentation of micrographs with a customized metric function

Matias Oscar Volman Stern, Dominic Hohs, Andreas Jansche +2

Training of semantic segmentation models for material analysis requires micrographs and their corresponding masks. It is quite unlikely that perfect masks will be drawn, especially…

cond-mat.mtrl-sci2022★ 5 cited

Machine learning-based mass density model for hard magnetic 14:2:1 phases using chemical composition-based features

Anoop Kini, Amit Kumar Choudhary, Dominic Hohs +6

The Fe14Nd2B-based permanent magnets are technologically sought-after for energy conversion due to their unparalleled high energy product (520 kJ/m3). For such 14:2:1 phases of dif…

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