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Miran Ha

5PUBLICATIONS

8CO-AUTHORS

Theoretical quantum chemistryNanomaterialsStatistical mechanics in chemistryPhotovoltaic power systemsComputational methods in fluid flow, heat and mass transfer (incl. computational fluid dynamics)

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Publications (5)

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|Dec 22, 2025

Accelerating Materials Discovery Through Sparse Gaussian Process Machine Learning Potentials.

Miran Ha, Saeed Pourasad, Chang Woo Myung

|Dec 13, 2023

Single-atom catalysts supported on a hybrid structure of boron nitride/graphene for efficient nitrogen fixation <i>via</i> synergistic interfacial interactions.

Mohammad Zafari, Rohit Anand, Arun S Nissimagoudar

|Mar 01, 2023

Sparse Gaussian Process Regression-Based Machine Learned First-Principles Force-Fields for Saturated, Olefinic, and Aromatic Hydrocarbons.

Miran Ha, Amir Hajibabaei, Saeed Pourasad

|May 16, 2022

Unveiling the Role of Charge Transfer in Enhanced Electrochemical Nitrogen Fixation at Single-Atom Catalysts on BX Sheets (X = As, P, Sb).

Mohammad Zafari, Muhammad Umer, Arun S Nissimagoudar

|Oct 18, 2021

Machine Learning of First-Principles Force-Fields for Alkane and Polyene Hydrocarbons.

Amir Hajibabaei, Miran Ha, Saeed Pourasad

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Frequent Collaborators

5 joint publications

Kwang S Kim

2 joint publications

Amir Hajibabaei

2 joint publications

Arun S Nissimagoudar

2 joint publications

Geunsik Lee

1 joint publications

Junu Kim

1 joint publications

Mohammad Zafari

1 joint publications

Rohit Anand

1 joint publications

Chang Woo Myung

Frequent Collaborators

5 joint publications

Kwang S Kim

2 joint publications

Amir Hajibabaei

2 joint publications

Arun S Nissimagoudar

2 joint publications

Geunsik Lee

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