• 1447 Citations
  • 18 h-Index
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Fingerprint Dive into the research topics where Fadwa El-Mellouhi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 4 Similar Profiles
perovskites Physics & Astronomy
Cations Chemical Compounds
Density functional theory Chemical Compounds
Vacancies Chemical Compounds
Perovskite Engineering & Materials Science
Solar cells Engineering & Materials Science
density functional theory Physics & Astronomy
Positive ions Engineering & Materials Science

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Research Output 2002 2019

  • 1447 Citations
  • 18 h-Index
  • 65 Article
  • 1 Chapter
  • 1 Comment/debate
  • 1 Review article

Chalcogenide Materials and Derivatives for Photovoltaic Applications

Buffiere, M., Dhawale, D. S. & El-Mellouhi, F., 1 Jan 2019, (Accepted/In press) In : Energy Technology. 1900819.

Research output: Contribution to journalReview article

Thin films
Computer aided design
Solar cells
Physical Chemistry
Physical chemistry
machine learning
physical chemistry

Elucidating the role of extended surface defects at Fe surfaces on CO adsorption and dissociation

Chakrabarty, A., Bentria, E. T., Omotayo, S. A., Bouhali, O., Mousseau, N., Becquart, C. S. & El-Mellouhi, F., 15 Oct 2019, In : Applied Surface Science. 491, p. 792-798 7 p.

Research output: Contribution to journalArticle

Surface defects
surface defects
Carbon Monoxide
1 Citation (Scopus)

Enhancing the electronic dimensionality of hybrid organic-inorganic frameworks by hydrogen bonded molecular cations

El-Mellouhi, F., Madjet, M., Berdiyorov, G., Bentria, E. T., Rashkeev, S., Kais, S., Akande, A., Motta, C., Sanvito, S. & Alharbi, F., 1 Jul 2019, In : Materials Horizons. 6, 6, p. 1187-1196 10 p.

Research output: Contribution to journalArticle

Optoelectronic devices
Positive ions
5 Citations (Scopus)

Exploring new approaches towards the formability of mixed-ion perovskites by DFT and machine learning

Park, H., Mall, R., Alharbi, F., Sanvito, S., Tabet, N., Bensmail, H. & El-Mellouhi, F., 1 Jan 2019, In : Physical Chemistry Chemical Physics. 21, 3, p. 1078-1088 11 p.

Research output: Contribution to journalArticle

machine learning
Discrete Fourier transforms