Min Long

Assistant Professor

Boise State University

United States

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About

Min Long is an Assistant Professor at Boise State University in the United States. His research areas include artificial intelligence applications in materials characterization, x-ray emission spectroscopy, and time-frequency analysis in astronomy. His recent publications explore ion irradiation effects on amorphous TiO2 nanotubes, charge exchange emission in astronomical disks, and techniques for enhancing data analysis in heterogeneous computing environments.

Articles (14)

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2025

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2024

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2024

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2023

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2023

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2022

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2021

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2021

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2021

Collaborators (4)

Badri Narayanan

Assistant Professor

University of Louisville

UNITED STATES

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Q. Daniel Wang

Professor

University of Massachusetts Amherst

UNITED STATES

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Yaqiao Wu

Research Professor

Boise State University

UNITED STATES

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Jeff Terry

Professor

Illinois Institute of Technology

UNITED STATES

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Min Long

Research Interests

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About

Articles (14)

Analysis of x-ray emission spectroscopy (XES) data using artificial intelligence techniques included in the XES Neo package

Mechanisms of ion irradiation induced ordering in amorphous TiO2 nanotubes: Effects of ion mass and energy

A promising method for breaking the logjam of time-frequency analysis in astronomy

The X-ray variation of M81* resolved by <i>Chandra</i> and <i>NuSTAR</i>

Artificial intelligence based analysis of nanoindentation load–displacement data using a genetic algorithm

HEGrid: A high efficient multi-channel radio astronomical data gridding framework in heterogeneous computing environments

Materials characterization: Can artificial intelligence be used to address reproducibility challenges?

X-Ray Spectroscopic Evidence of Charge Exchange Emission in the Disk of M51

Deep near-infrared survey towards the W40 and Serpens South region in the Aquila Rift: A comprehensive catalogue of young stellar objects

Hierarchical structure of YSO clusters in the W40 and Serpens South region: group extraction and comparison with fractal clusters

In situ ion irradiation of amorphous TiO2 nanotubes

Detection of radio frequency interference using an improved generative adversarial network

Elastic and thermodynamic properties of cerium‐doped yttrium aluminum garnets

Analysis of extended X-ray absorption fine structure (EXAFS) data using artificial intelligence techniques

Collaborators (4)

Badri Narayanan

Q. Daniel Wang

Yaqiao Wu

Jeff Terry

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