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Alauddin Ahmed

Alauddin Ahmed

University of Michigan

H-index: 15

North America-United States

Contact Alauddin Ahmed

About Alauddin Ahmed

Alauddin Ahmed, With an exceptional h-index of 15 and a recent h-index of 11 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Computational Materials Science, High-throughput Computing, Data Mining & Machine Learning, Multiscale Modeling, Molecular Simul.

His recent articles reflect a diverse array of research interests and contributions to the field:

Adsorption of Natural Gas in Metal–Organic Frameworks: Selectivity, Cyclability, and Comparison to Methane Adsorption

High-Performance Metal-Organic Frameworks As Methane Sorbents And Computational Identification Methods

CCU TEA and LCA Guidance 2023 – A Harmonized Approach

Microscale determination of binary gas adsorption isotherms in MOFs

Calculation and Measurement of Salt Loading in Metal–Organic Frameworks

Computational Identification and Experimental Demonstration of High‐Performance Methane Sorbents

HyMARC Seedling: Optimized Hydrogen Adsorbents via Machine Learning and Crystal Engineering

Machine learning-guided equations for super-fast prediction of methane storage capacities of COFs

Alauddin Ahmed Information

University

Position

___

Citations(all)

1272

Citations(since 2020)

981

Cited By

630

hIndex(all)

15

hIndex(since 2020)

11

i10Index(all)

19

i10Index(since 2020)

13

Email

University Profile Page

Google Scholar

Alauddin Ahmed Skills & Research Interests

Computational Materials Science

High-throughput Computing

Data Mining & Machine Learning

Multiscale Modeling

Molecular Simul

Top articles of Alauddin Ahmed

Adsorption of Natural Gas in Metal–Organic Frameworks: Selectivity, Cyclability, and Comparison to Methane Adsorption

Journal of the American Chemical Society

2024/4/3

Karabi Nath
Karabi Nath

H-Index: 7

Alauddin Ahmed
Alauddin Ahmed

H-Index: 11

High-Performance Metal-Organic Frameworks As Methane Sorbents And Computational Identification Methods

2023/10/26

CCU TEA and LCA Guidance 2023 – A Harmonized Approach

2023/9/1

Alauddin Ahmed
Alauddin Ahmed

H-Index: 11

Rosa Dominguez-Faus
Rosa Dominguez-Faus

H-Index: 8

Volker Sick
Volker Sick

H-Index: 27

Microscale determination of binary gas adsorption isotherms in MOFs

Journal of the American Chemical Society

2022/11/4

Karabi Nath
Karabi Nath

H-Index: 7

Alauddin Ahmed
Alauddin Ahmed

H-Index: 11

Calculation and Measurement of Salt Loading in Metal–Organic Frameworks

The Journal of Physical Chemistry C

2022/9/19

Chisang Park
Chisang Park

H-Index: 1

Alauddin Ahmed
Alauddin Ahmed

H-Index: 11

Computational Identification and Experimental Demonstration of High‐Performance Methane Sorbents

Angewandte Chemie

2022/6/20

Karabi Nath
Karabi Nath

H-Index: 7

Alauddin Ahmed
Alauddin Ahmed

H-Index: 11

HyMARC Seedling: Optimized Hydrogen Adsorbents via Machine Learning and Crystal Engineering

2022/3/10

Alauddin Ahmed
Alauddin Ahmed

H-Index: 11

Darpandeep Aulakh
Darpandeep Aulakh

H-Index: 11

Machine learning-guided equations for super-fast prediction of methane storage capacities of COFs

DOI:10.26434/chemrxiv.13469787

2020/12/22

Alauddin Ahmed
Alauddin Ahmed

H-Index: 11

Predicting Hydrogen Storage in MOFs via Machine Learning

Patterns

2021/7/9

Alauddin Ahmed
Alauddin Ahmed

H-Index: 11

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