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researcher

Nathaniel J. Krakauer

2 papers hereh-index 288 citations2 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
  • cs.CV1
  • physics.comp-ph1

identity via Semantic Scholar / OpenAlex

most citedMulti defect detection and analysis of electron microscopy images with deep learning

64 citations · 91 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CV2021★ 64 cited

Multi defect detection and analysis of electron microscopy images with deep learning

Mingren Shen, Guanzhao Li, Dongxia Wu +12

Electron microscopy is widely used to explore defects in crystal structures, but human detecting of defects is often time-consuming, error-prone, and unreliable, and is not scalabl…

physics.comp-ph2020★ 27 cited

Assessing Graph-based Deep Learning Models for Predicting Flash Point

Xiaoyu Sun, Nathaniel J. Krakauer, Alexander Politowicz +8

Flash points of organic molecules play an important role in preventing flammability hazards and large databases of measured values exist, although millions of compounds remain unme…

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