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Natural Boron and 10B-Enriched Hexagonal Boron Nitride for High-Sensitivity Self-Biased Metal-Semiconductor-Metal Neutron Detectors.
Mballo, Adama; Ahaitouf, Ali; Sundaram, Suresh; Srivastava, Ashutosh; Ottapilakkal, Vishnu; Gujrati, Rajat; Vuong, Phuong; Karrakchou, Soufiane; Kumar, Mritunjay; Li, Xiaohang; Halfaya, Yacine; Gautier, Simon; Voss, Paul L; Salvestrini, Jean Paul; Ougazzaden, Abdallah.
Afiliação
  • Mballo A; CNRS, IRL 2958, GT-CNRS, 2 rue Marconi, 57070 Metz, France.
  • Ahaitouf A; CNRS, IRL 2958, GT-CNRS, 2 rue Marconi, 57070 Metz, France.
  • Sundaram S; Georgia Tech-Lorraine, 2 rue Marconi, 57070 Metz, France.
  • Srivastava A; CNRS, IRL 2958, GT-CNRS, 2 rue Marconi, 57070 Metz, France.
  • Ottapilakkal V; Georgia Tech-Lorraine, 2 rue Marconi, 57070 Metz, France.
  • Gujrati R; CNRS, IRL 2958, GT-CNRS, 2 rue Marconi, 57070 Metz, France.
  • Vuong P; School of Electrical and Computer Engineering, GT-Lorraine, Georgia Institute of Technology, 57070 Metz, France.
  • Karrakchou S; CNRS, IRL 2958, GT-CNRS, 2 rue Marconi, 57070 Metz, France.
  • Kumar M; CNRS, IRL 2958, GT-CNRS, 2 rue Marconi, 57070 Metz, France.
  • Li X; School of Electrical and Computer Engineering, GT-Lorraine, Georgia Institute of Technology, 57070 Metz, France.
  • Halfaya Y; CNRS, IRL 2958, GT-CNRS, 2 rue Marconi, 57070 Metz, France.
  • Gautier S; CNRS, IRL 2958, GT-CNRS, 2 rue Marconi, 57070 Metz, France.
  • Voss PL; Advanced Semiconductor Laboratory, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia.
  • Salvestrini JP; Advanced Semiconductor Laboratory, King Abdullah University of Science and Technology (KAUST), Thuwal 23955, Saudi Arabia.
  • Ougazzaden A; Institut Lafayette, 2 rue Marconi, 57070 Metz, France.
ACS Omega ; 7(1): 804-809, 2022 Jan 11.
Article em En | MEDLINE | ID: mdl-35036747

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article