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researcher

Michael Pekala

2 papers here

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
  • q-bio.QM1

identity via Semantic Scholar / OpenAlex

most citedAn Automated Images-to-Graphs Framework for High Resolution Connectomics

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2023

Evaluating the diversity and utility of materials proposed by generative models

Alexander New, Michael Pekala, Elizabeth A. Pogue +4

Generative machine learning models can use data generated by scientific modeling to create large quantities of novel material structures. Here, we assess how one state-of-the-art g…

q-bio.QM2014★ 1 cited

An Automated Images-to-Graphs Framework for High Resolution Connectomics

William Gray Roncal, Dean M. Kleissas, Joshua T. Vogelstein +8

Reconstructing a map of neuronal connectivity is a critical challenge in contemporary neuroscience. Recent advances in high-throughput serial section electron microscopy (EM) have…

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