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researcher

Stephen Barlow

3 papers here

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cond-mat.mtrl-sci1
  • cs.LG1
  • physics.chem-ph1
ORCID 0000-0001-9059-9974

identity via Semantic Scholar / OpenAlex

most citedTraining and inference of large language models using 8-bit floating point

4 citations · 7 across the 3 of their papers we have counts for

collaborators

3 papers

cond-mat.mtrl-sci2024★ 2 cited

Surface doping of rubrene single crystals by molecular electron donors and acceptors

Christos Gatsios, Andreas Opitz, Dominique Lungwitz +9

The surface molecular doping of organic semiconductors can play an important role in the development of organic electronic or optoelectronic devices. Single-crystal rubrene remains…

cs.LG2023★ 4 cited

Training and inference of large language models using 8-bit floating point

Sergio P. Perez, Yan Zhang, James Briggs +6

FP8 formats are gaining popularity to boost the computational efficiency for training and inference of large deep learning models. Their main challenge is that a careful choice of…

physics.chem-ph2023★ 1 cited

Architecture Optimization Dramatically Improves Reverse Bias Stability in Perovskite Solar Cells: A Role of Polymer Hole Transport Layers

Fangyuan Jiang, Yangwei Shi, Tanka R. Rana +13

We report that device architecture engineering has a substantial impact on the reverse bias instability that has been reported as a critical issue in commercializing perovskite sol…

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