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):
Education/Academic qualification
Doctoral degree, Engineering and Technology, Singapore-MIT Alliance
Award Date: 13 May 2014
Bachelor's degree, Engineering and Technology, Budapest University of Technology and Economics
Award Date: 7 Jan 2010
Fingerprint
Dive into the research topics where Arpad Toldy is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Awareness increases acceptance and willingness to pay for low-carbon fuels amongst marine passengers
Nyári, J., Toldy, Á. I., Järvinen, M. & Santasalo-Aarnio, A., 15 Feb 2024, In: Heliyon. 10, 3, 16 p., e24714.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile1 Citation (Scopus)50 Downloads (Pure) -
Dynamic operation of proton exchange membrane electrolyzers—Critical review
Sayed-Ahmed, H., Toldy, Á. I. & Santasalo-Aarnio, A., Jan 2024, In: Renewable and Sustainable Energy Reviews. 189, 14 p., 113883.Research output: Contribution to journal › Review Article › peer-review
Open AccessFile29 Citations (Scopus)896 Downloads (Pure) -
Choice of the kinetic model significantly affects the outcome of techno-economic assessments of CO2-based methanol synthesis
Nyári, J., Izbassarov, D., Toldy, Á. I., Vuorinen, V. & Santasalo-Aarnio, A., 1 Nov 2022, In: Energy Conversion and Management. 271, 13 p., 116200.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile8 Citations (Scopus)625 Downloads (Pure) -
Predicting Distillation Properties of Gasoline Fuel Blends using Machine Learning
Lamberg, A., Toldy, A., Keskiväli, J., Karvo, A., Larmi, M. & Santasalo-Aarnio, A., 30 Aug 2022, In: SAE Technical Papers. 2022-01-1086Research output: Contribution to journal › Conference article › Scientific › peer-review
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Prediction of Gasoline Blend Ignition Characteristics Using Machine Learning Models
Correa Gonzalez, S., Kroyan, Y., Sarjovaara, T., Kiiski, U., Karvo, A., Toldy, A. I., Larmi, M. & Santasalo-Aarnio, A., 3 Jun 2021, In: Energy and Fuels. 35, 11, p. 9332-9340 9 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile13 Citations (Scopus)307 Downloads (Pure)
Projects
- 1 Active
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AIcon/Santasalo-Aarnio: AI-guided CO2 Conversion
Santasalo-Aarnio, A. (Principal investigator), Winiarski, P. (Project Member), Toldy, A. (Project Member), Garg, N. (Project Member), Abelniece, Z. (Project Member), Tetteh, S. (Project Member), Abbas, S. (Project Member), Pallonen, L. (Project Member) & Rouhi, H. (Project Member)
EU The Recovery and Resilience Facility (RRF)
01/01/2022 → 31/12/2024
Project: Academy of Finland: Other research funding
Activities
- 1 Conference presentation
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Machine Learning-based Property Prediction of Commercial Gasoline Blends using Historical Data
Toldy, A. (Speaker)
22 Jun 2021Activity: Talk or presentation types › Conference presentation