Amir Mahdian
Doctoral Researcher
Doctoral Researcher
T105 Chemistry and Materials
Full researcher profile
https://research.aalto.fi/...
Sähköposti
amir.mahdian@aalto.fi
Puhelinnumero
+358503140184
Tutkimusryhmät
- Computational Chemistry, Doctoral Researcher
Julkaisut
A Machine Learning-Guided Study of Structure-Reactivity Relationships in Diels-Alder Cycloadditions
Amir Mahdian, Kaveh Farshadfar, Kari Laasonen
2026
Journal of Organic Chemistry
Identification of HOTf-Driven Brønsted Acid Catalysis in the AuCl3/AgOTf System for the Hydroalkylation of Styrene
Amir Mahdian, Tatsiana Nikonovich, Sandra Kaabel, Kari Laasonen, Kaveh Farshadfar
2026
Inorganic Chemistry
Understanding electrochemical reactions using density functional theory : the bridging theoretical scheme of squares and experimental cyclic voltammetry
Amir Mahdian, Arsalan Hashemi, Kari Laasonen
2025
Physical Chemistry Chemical Physics
Density functional theory and machine learning for electrochemical square-scheme prediction: an application to quinone-type molecules relevant to redox flow batteries
Arsalan Hashemi, Reza Khakpour, Amir Mahdian, Michael Busch, Pekka Peljo, Kari Laasonen
2023
Digital Discovery