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researcher

Jason R. Mayeur

2 papers hereh-index 223 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.CE1

identity via Semantic Scholar / OpenAlex

most citedSelf-supervised feature distillation and design of experiments for efficient training of micromechanical deep learning surrogates

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2026

Microstructural Generative Inverse Models for Additive Manufacturing Digital Twins

Pablo Luna Falcon, Jason Mayeur, Amirkoushyar Ziabari +2

Metal additive manufacturing (AM) offers substantial advantages to the fabrication of complex structural components, but its widespread adoption is slowed due to complexities in th…

cs.CE2024★ 1 cited

Self-supervised feature distillation and design of experiments for efficient training of micromechanical deep learning surrogates

Patxi Fernandez-Zelaia, Jason Mayeur, Jiahao Cheng +3

Machine learning surrogate emulators are needed in engineering design and optimization tasks to rapidly emulate computationally expensive physics-based models. In micromechanics pr…

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