Characterization (materials science)×Artificial neural network

The Frontier Brief for this collision is still being written. The evidence below already reflects the current model run.

Pre-company space. No named players have staked this collision yet — an emerging pairing where the field, not a firm, is the story so far.

43 researchers publish on both sides of this collision without the fields themselves having met. Every name below is counted from papers in the corpus — not inferred.

• Daniele IelminiInstitut de Microelectrònica de Barcelona
  1/8
• J. Joshua YangUnidades Centrales Científico-Técnicas
  1/7
• Rampi RamprasadArgonne National Laboratory
  2/2
• Adnan MehonićJiangsu Key Laboratory for Advanced Metallic Materials
  1/2
• Mario LanzaJiangsu Key Laboratory for Advanced Metallic Materials
  1/2
• Anthony Joseph KenyonJiangsu Key Laboratory for Advanced Metallic Materials
  1/2
• Daniel BrunnerUniversity of Birmingham
  1/2
• Wenzhong BaoUniversity of Massachusetts Amherst
  1/2
• Georgy A. ErmolaevInstitute for Functional Intelligent Materials
  1/1
• Aleksey V. ArseninInstitute for Functional Intelligent Materials
  1/1

• Chinese Academy of SciencesCN
  13/114
• Stanford UniversityUS
  8/133
• Centre National de la Recherche ScientifiqueFR
  12/62
• Massachusetts Institute of TechnologyUS
  7/102
• Tsinghua UniversityCN
  8/81
• National University of SingaporeSG
  11/47

• Standards for the Characterization of Endurance in Resistive Switching Devices2021 · 265 citations · DOI ↗
  1
• Materials Informatics Framework for Accelerated Discovery of High-Refractive-Index 2D Materials2026 · 4 citations · DOI ↗
  1
• Training Deep Neural Networks for the Inverse Design of Nanophotonic Structures2018 · 1,192 citations · DOI ↗
  2
• Accurate characterization of next-generation thin-film photodetectors2018 · 731 citations · DOI ↗
  2

Counted from the corpus. Institution counts use best-effort affiliation (every author on a paper is paired with every institution on it), so read them as presence, not headcount.