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Jonathan Booth

2 papers hereh-index 117 citations2 works total

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

author position
  • middle author1
  • last author1

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 citedDiscovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNets

8 citations · 9 across the 2 of their papers we have counts for

collaborators

2 papers

cond-mat.mtrl-sci2023★ 1 cited

Symbolic Learning for Material Discovery

Daniel Cunnington, Flaviu Cipcigan, Rodrigo Neumann Barros Ferreira +1

Discovering new materials is essential to solve challenges in climate change, sustainability and healthcare. A typical task in materials discovery is to search for a material in a…

cs.CE2023★ 8 cited

Discovery of Novel Reticular Materials for Carbon Dioxide Capture using GFlowNets

Flaviu Cipcigan, Jonathan Booth, Rodrigo Neumann Barros Ferreira +2

Artificial intelligence holds promise to improve materials discovery. GFlowNets are an emerging deep learning algorithm with many applications in AI-assisted discovery. By using GF…

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