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Pascal Friederich

Karlsruhe Institute of Technology

25 papers hereh-index 325.4k citations102 works total

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

author position
  • first author2
  • middle author11
  • last author11

Across the 24 of 25 papers where every author was matched, so the position is known.

fields
  • cs.LG8
  • physics.chem-ph5
  • cond-mat.mtrl-sci3
  • cond-mat.soft2
  • cond-mat.supr-con1
  • cs.CE1
affiliations
  • Karlsruhe Institute of Technology
Homepage
same name
  • Pascal Friederich — 10 papers, h 5
  • Pascal Friederich — 4 papers, h 1
  • Pascal Friederich — 4 papers, h 2
  • Pascal Friederich — 1 paper, h 2
  • Pascal Friederich — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedSelf-Referencing Embedded Strings (SELFIES): A 100% robust molecular string representation

663 citations · 1.7k across the 24 of their papers we have counts for

collaborators
Showing cond-mat.mtrl-sciShow all

3 papers · 1 filter

cond-mat.mtrl-sci2023★ 59 cited

JARVIS-Leaderboard: A Large Scale Benchmark of Materials Design Methods

Kamal Choudhary, Daniel Wines, Kangming Li +35

Lack of rigorous reproducibility and validation are major hurdles for scientific development across many fields. Materials science in particular encompasses a variety of experiment…

cond-mat.mtrl-sci2023★ 1 cited

What is missing in autonomous discovery: Open challenges for the community

Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird +16

Self-driving labs (SDLs) leverage combinations of artificial intelligence, automation, and advanced computing to accelerate scientific discovery. The promise of this field has give…

cond-mat.mtrl-sci2023★ 10 cited

Neural networks trained on synthetically generated crystals can extract structural information from ICSD powder X-ray diffractograms

Henrik Schopmans, Patrick Reiser, Pascal Friederich

Machine learning techniques have successfully been used to extract structural information such as the crystal space group from powder X-ray diffractograms. However, training direct…

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