---
res:
  bibo_abstract:
  - Photovoltaics is one of the most promising and fastest-growing renewable energy
    technologies. Although the price-performance ratio of solar cells has improved
    significantly over recent years{,} further systematic investigations are needed
    to achieve higher performance and lower cost for future solar cells. In conjunction
    with experiments{,} computer simulations are powerful tools to investigate the
    thermodynamics and kinetics of solar cells. Over the last few years{,} we have
    developed and employed advanced computational techniques to gain a better understanding
    of solar cells based on copper indium gallium selenide (Cu(In{,}Ga)Se2). Furthermore{,}
    we have utilized state-of-the-art data-driven science and machine learning for
    the development of photovoltaic materials. In this Perspective{,} we review our
    results along with a survey of the field.@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: S. Hossein
      foaf_name: Mirhosseini, S. Hossein
      foaf_surname: Mirhosseini
      foaf_workInfoHomepage: http://www.librecat.org/personId=71051
    orcid: 0000-0001-6179-1545
  - foaf_Person:
      foaf_givenName: Ramya
      foaf_name: Kormath Madam Raghupathy, Ramya
      foaf_surname: Kormath Madam Raghupathy
      foaf_workInfoHomepage: http://www.librecat.org/personId=71692
    orcid: https://orcid.org/0000-0003-4667-9744
  - foaf_Person:
      foaf_givenName: Sudhir K.
      foaf_name: Sahoo, Sudhir K.
      foaf_surname: Sahoo
  - foaf_Person:
      foaf_givenName: Hendrik
      foaf_name: Wiebeler, Hendrik
      foaf_surname: Wiebeler
  - foaf_Person:
      foaf_givenName: Manjusha
      foaf_name: Chugh, Manjusha
      foaf_surname: Chugh
      foaf_workInfoHomepage: http://www.librecat.org/personId=71511
  - foaf_Person:
      foaf_givenName: Thomas
      foaf_name: Kühne, Thomas
      foaf_surname: Kühne
      foaf_workInfoHomepage: http://www.librecat.org/personId=49079
  bibo_doi: 10.1039/D0CP04712K
  bibo_volume: 22
  dct_date: 2020^xs_gYear
  dct_language: eng
  dct_publisher: The Royal Society of Chemistry@
  dct_title: In silico investigation of Cu(In,Ga)Se2-based solar cells@
...
