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Amir Mahdian

Showing results (1-10 of 4) with videos related to

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The Journal of Organic Chemistry|January 7, 2026
A Machine Learning-Guided Study of Structure-Reactivity Relationships in Diels-Alder CycloadditionsAmir Mahdian, Kaveh Farshadfar, Kari Laasonen
Physical Chemistry Chemical Physics : PCCP|June 24, 2025
Understanding electrochemical reactions using density functional theory: the bridging theoretical scheme of squares and experimental cyclic voltammetryAmir Mahdian, Arsalan Hashemi, Kari Laasonen
Inorganic Chemistry|May 5, 2026
Identification of HOTf-Driven Brønsted Acid Catalysis in the AuCl<sub>3</sub>/AgOTf System for the Hydroalkylation of StyreneAmir Mahdian, Tatsiana Nikonovich, Sandra Kaabel, et al.
Digital Discovery|November 28, 2023
Density functional theory and machine learning for electrochemical square-scheme prediction: an application to quinone-type molecules relevant to redox flow batteriesArsalan Hashemi, Reza Khakpour, Amir Mahdian, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
The Journal of Organic Chemistry|January 7, 2026
A Machine Learning-Guided Study of Structure-Reactivity Relationships in Diels-Alder CycloadditionsAmir Mahdian, Kaveh Farshadfar, Kari Laasonen
Physical Chemistry Chemical Physics : PCCP|June 24, 2025
Understanding electrochemical reactions using density functional theory: the bridging theoretical scheme of squares and experimental cyclic voltammetryAmir Mahdian, Arsalan Hashemi, Kari Laasonen
Inorganic Chemistry|May 5, 2026
Identification of HOTf-Driven Brønsted Acid Catalysis in the AuCl<sub>3</sub>/AgOTf System for the Hydroalkylation of StyreneAmir Mahdian, Tatsiana Nikonovich, Sandra Kaabel, et al.
Digital Discovery|November 28, 2023
Density functional theory and machine learning for electrochemical square-scheme prediction: an application to quinone-type molecules relevant to redox flow batteriesArsalan Hashemi, Reza Khakpour, Amir Mahdian, et al.
Pageof 1