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Philips (Netherlands)

Netherlands

154 papers here12.5k citations across 154
fields
  • cond-mat.mes-hall21
  • cond-mat15
  • cond-mat.mtrl-sci13
  • eess.IV13
  • cs.CV10
  • physics.optics10
  • cond-mat.str-el9
  • physics.med-ph7
ROR 02p2bgp27OpenAlex

affiliations via OpenAlex

output
19942026
most citedQuantum Transport in Semiconductor Nanostructures

1.2k citations

researchers with a paper here
  • E. Bakkers16 · h 68
  • C. Beenakker2 profiles15 · h 66
  • L. Kouwenhoven11 · h 101
  • J. Rivas9 · h 46
  • L. F. Feiner9 · h 25
  • M. Verschuuren9 · h 30
  • M. D. de Jong8 · h 23
  • M. Verheijen8 · h 66
  • A. Oleś7 · h 35
  • J. Paasschens6 · h 17
  • M. Breeuwer6 · h 35
  • H. Hollmann5 · h 20
collaborating institutions
  • Eindhoven University of TechnologyNL56 papers
  • Delft University of TechnologyNL21 papers
  • Leiden UniversityNL20 papers
  • Signify (Netherlands)NL18 papers
  • Institute for Atomic and Molecular PhysicsNL14 papers
  • NXP (Netherlands)NL13 papers
  • Philips (Finland)FI9 papers
  • Utrecht UniversityNL8 papers
  • Max Planck Institute for Solid State ResearchDE7 papers
  • Philips (Germany)DE6 papers
  • Radboud University NijmegenNL6 papers
  • RWTH Aachen UniversityDE5 papers
Showing 2026Show all

1 paper · 1 filter

cs.SE2026

Green LLM Techniques in Action: How Effective Are Existing Techniques for Improving the Energy Efficiency of LLM-Based Applications in Industry?

Pelin Rabia Kuran, Rumbidzai Chitakunye, Vincenzo Stoico +2

The rapid adoption of large language models (LLMs) has raised concerns about their substantial energy consumption, especially when deployed at industry scale. While several techniq…

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