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Infrared spectra of neutral polycyclic aromatic hydrocarbons based on machine learning potential energy surface and dipole mapping

Authors
  1. A Candian
  2. A Ciajolo
  3. A Faccinetto
  4. A Seko
  5. A Seko
  6. A Singraber
  7. A Singraber
  8. A Takahashi
  9. AGGM Tielens
  10. AL Lafleur
  11. AL Mattioda
  12. AL Mattioda
  13. AL Mattioda
  14. AM Holloway
  15. AP Bartók
  16. AP Bartók
  17. AP Bartók
  18. AP Bartók
  19. B Öktem
  20. BD Adamson
  21. BS Haynes
  22. C Zeni
  23. CW Bauschlicher
  24. D Chen
  25. DM Hudgins
  26. DM Hudgins
  27. DM Hudgins
  28. DM Hudgins
  29. DM Hudgins
  30. DM Hudgins
  31. E Dwek
  32. E Michoulier
  33. ER Micelotta
  34. G Sivaraman
  35. GC Sosso
  36. GS Downward
  37. H Piest
  38. H Yuan
  39. HE Sauceda
  40. HF Calcote
  41. HI Abdel-Shafy
  42. II Novoselov
  43. J Behler
  44. J Behler
  45. J Lam
  46. JS Smith
  47. K Yagi
  48. KH Homann
  49. KT Schütt
  50. L Barnes
  51. M Eckhoff
  52. M Frenklach
  53. M Frenklach
  54. M Gastegger
  55. M Veit
  56. MA Caro
  57. MJ Frisch
  58. MR Kholghy
  59. MR Kholghy
  60. N Artrith
  61. N Jeelani
  62. P Kovács
  63. PJ Stephens
  64. PO Dral
  65. Q Mao
  66. R Duran
  67. R Jinnouchi
  68. RA Dobbins
  69. S Kumari
  70. S Manzhos
  71. SA Sandford
  72. SK Natarajan
  73. T Bereau
  74. T Morawietz
  75. T Morawietz
  76. TD Huan
  77. TT Nguyen
  78. V Barone
  79. V Barone
  80. V Barone
  81. V Botu
  82. V Quaranta
  83. V Ramanathan
  84. VL Deringer
  85. VL Deringer
  86. VL Deringer
  87. X Mercier
  88. Y Kalmykova
Publication date
Publisher
'Springer Science and Business Media LLC'
Doi

    Abstract

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      Last time updated on 22/05/2021

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