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DIFF Subgroup
G01N 24/10

by using electron paramagnetic resonance (G01N24/12 takes precedence)

Introduced: January 1980

Title

Titles differ between systems:

IPC: by using electron paramagnetic resonance

CPC: by using electron paramagnetic resonance (G01N24/12 takes precedence)

Full Title

Full titles differ between systems:

IPC:

Investigating or analysing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects > by using electron paramagnetic resonance

CPC:

Investigating or analyzing materials by the use of nuclear magnetic resonance, electron paramagnetic resonance or other spin effects > by using electron paramagnetic resonance (G01N24/12 takes precedence)

No child classifications to compare. This is a leaf node in both IPC and CPC.

Top Applicants

Top Applicants (IPC)

Class G01,2013–2023, worldwide · Source: EPO PATSTAT

  1. SGCC(STATE GRID CORPORATION OF CHINA) 41,447
  2. CHINESE ACADEMY OF SCIENCES 32,952
  3. ROBERT BOSCH DE 16,470
  4. SAMSUNG ELECTRONICS COMPANY KR 10,052
  5. SINOPEC (CHINA PETROCHEMICAL CORPORATION) 9,573
  6. ZHEJIANG UNIVERSITY 9,529
  7. GUANGDONG POWER GRID CORPORATION 8,615
  8. TSINGHUA UNIVERSITY 7,805
  9. HALLIBURTON ENERGY SERVICES GROUP US 7,796
  10. QUALCOMM US 7,171

Top Applicants (CPC)

Class G01,2013–2023, worldwide · Source: EPO PATSTAT

  1. CHINESE ACADEMY OF SCIENCES 21,460
  2. ROBERT BOSCH DE 17,801
  3. SGCC(STATE GRID CORPORATION OF CHINA) 17,347
  4. SAMSUNG ELECTRONICS COMPANY KR 13,192
  5. QUALCOMM US 9,900
  6. HALLIBURTON ENERGY SERVICES GROUP US 9,742
  7. PHILIPS ELECTRONICS NL 7,249
  8. MITSUBISHI ELECTRIC CORPORATION JP 6,503
  9. ZHEJIANG UNIVERSITY 6,414
  10. DENSO CORPORATION JP 6,382