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researcher

Philippe Schwaller

6 papers here

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

author position
  • middle author2
  • last author4

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • q-bio.BM2
  • cond-mat.mtrl-sci1
  • physics.chem-ph1
ORCID 0000-0003-3046-6576

identity via Semantic Scholar / OpenAlex

most cited14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

214 citations · 237 across the 6 of their papers we have counts for

collaborators
Showing physics.chem-phShow all

1 paper · 1 filter

physics.chem-ph2023★ 6 cited

Extracting human interpretable structure-property relationships in chemistry using XAI and large language models

Geemi P. Wellawatte, Philippe Schwaller

Explainable Artificial Intelligence (XAI) is an emerging field in AI that aims to address the opaque nature of machine learning models. Furthermore, it has been shown that XAI can…

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