Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Dive into the research topics where Reza Khakpour is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Research output
- 7 Article
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Kinetics of N2 Release from Diazo Compounds: A Combined Machine Learning-Density Functional Theory Study
Farshadfar, K., Hashemi, A., Khakpour, R. & Laasonen, K., 9 Jan 2024, In: ACS Omega. 9, 1, p. 1106–1112Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Citations (Scopus)39 Downloads (Pure) -
Mechanism of CO2 Electroreduction to Multicarbon Products over Iron Phthalocyanine Single-Atom Catalysts
Khakpour, R., Farshadfar, K., Dong, S.-T., Lassalle-Kaiser, B., Laasonen, K. & Busch, M., 11 Apr 2024, In: Journal of Physical Chemistry C. 128, 14, p. 5867–5877Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile5 Citations (Scopus)47 Downloads (Pure) -
Molecular Electrochemical Catalysis of CO-to-Formaldehyde Conversion with a Cobalt Complex
Singh, A., Zamader, A., Khakpour, R., Laasonen, K., Busch, M. & Robert, M., 14 Aug 2024, In: Journal of the American Chemical Society. 146, 32, p. 22129–22133Research output: Contribution to journal › Article › Scientific › peer-review
2 Citations (Scopus) -
CO2 or Carbonates – What is the Active Species in Electrochemical CO2 Reduction over Fe-Porphyrin?
Khakpour, R., Lindberg, D., Laasonen, K. & Busch, M., 22 Mar 2023, In: ChemCatChem. 15, 6, 7 p., e202201671.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile9 Citations (Scopus)87 Downloads (Pure) -
Density functional theory and machine learning for electrochemical square-scheme prediction: an application to quinone-type molecules relevant to redox flow batteries
Hashemi, A., Khakpour, R., Mahdian, A., Busch, M., Peljo, P. & Laasonen, K., 1 Oct 2023, In: Digital Discovery. 2, 5, p. 1565-1576Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile2 Citations (Scopus)61 Downloads (Pure)
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XAI-BAT-Aka: Materials Development for Flow Batteries with Help of Explainable AI
Laasonen, K. (Principal investigator), Farshadfar, K. (Project Member), Mahdian, A. (Project Member), Khakpour, R. (Project Member) & Mäkinen, M. (Project Member)
EU The Recovery and Resilience Facility (RRF)
01/01/2022 → 31/12/2024
Project: Academy of Finland: Other research funding
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-: CompBat/WP1
Laasonen, K. (Principal investigator), Hashemi Petrudi, A. (Project Member) & Khakpour, R. (Project Member)
01/02/2020 → 31/05/2023
Project: EU: Framework programmes funding
Datasets
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Kinetics of N2 Release from Diazo Compounds: A Combined Machine Learning-Density Functional Theory Study
Farshadfar, K. (Creator), Hashemi Petrudi, A. (Creator), Khakpour, R. (Creator) & Laasonen, K. (Creator), Zenodo, 22 Sept 2023
DOI: 10.5281/zenodo.83702199, https://zenodo.org/record/8370200
Dataset
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Density Functional Theory and Machine Learning for Electrochemical Square-Scheme Prediction: An Application to Quinone-type Molecules Relevant to Redox Flow Batteries
Hashemi Petrudi, A. (Creator), Khakpour, R. (Creator), Mahdian, A. (Creator), Busch, M. (Creator), Peljo, P. (Creator) & Laasonen, K. (Creator), Zenodo, 20 May 2023
DOI: 10.5281/zenodo.7952776, https://zenodo.org/records/8268829
Dataset