Zhiwei Qiao

About Zhiwei Qiao

Zhiwei Qiao, With an exceptional h-index of 34 and a recent h-index of 32 (since 2020), a distinguished researcher at National University of Singapore, specializes in the field of Molecular Simulation for CO2 capture, gas separation and chiral separtion in porous materials.

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

High-throughput computational screening and molecular fingerprint design of metal-organic framework adsorbents for separation of C3 components

Deep learning and big data mining for Metal-Organic frameworks with high performance for simultaneous desulfurization and carbon capture

Topological Data Analysis Combined with High-Throughput Computational Screening of Hydrophobic Metal–Organic Frameworks: Application to the Adsorptive Separation of C3 Components

Tunable Nonlinear Optical Properties Based on Metal–Organic Framework Single Crystals

A two-dimensional metal–organic framework assembled from scandium-based cages for the selective capture of sulfur hexafluoride

High dynamic separation performance of metal–organic frameworks for D2/H2: Independent or competitive adsorption?

Computational screening and machine learning of hydrophobic metal-organic frameworks for removal of chemical warfare agents from air

Reticular Chemistry in Pore Engineering of a Y-Based Metal–Organic Framework for Xenon/Krypton Separation

Zhiwei Qiao Information

University

Position

___

Citations(all)

3181

Citations(since 2020)

2779

Cited By

1330

hIndex(all)

34

hIndex(since 2020)

32

i10Index(all)

65

i10Index(since 2020)

61

Email

University Profile Page

Google Scholar

Zhiwei Qiao Skills & Research Interests

Molecular Simulation for CO2 capture

gas separation and chiral separtion in porous materials

Top articles of Zhiwei Qiao

High-throughput computational screening and molecular fingerprint design of metal-organic framework adsorbents for separation of C3 components

Giant

2024/3/1

Deep learning and big data mining for Metal-Organic frameworks with high performance for simultaneous desulfurization and carbon capture

Journal of Colloid and Interface Science

2024/2/15

Topological Data Analysis Combined with High-Throughput Computational Screening of Hydrophobic Metal–Organic Frameworks: Application to the Adsorptive Separation of C3 Components

Nanomaterials

2024/1/31

Zhiwei Qiao
Zhiwei Qiao

H-Index: 20

Tunable Nonlinear Optical Properties Based on Metal–Organic Framework Single Crystals

Advanced Optical Materials

2024/1/17

A two-dimensional metal–organic framework assembled from scandium-based cages for the selective capture of sulfur hexafluoride

Chemical Communications

2024

High dynamic separation performance of metal–organic frameworks for D2/H2: Independent or competitive adsorption?

AIChE Journal

2024/1

Computational screening and machine learning of hydrophobic metal-organic frameworks for removal of chemical warfare agents from air

Applied Materials Today

2023/4/1

Reticular Chemistry in Pore Engineering of a Y-Based Metal–Organic Framework for Xenon/Krypton Separation

ACS Applied Materials & Interfaces

2023/3/30

Dielectric barrier discharge plasma modified Pt/CeO2 catalysts for toluene oxidation: effect of discharge time

Applied Surface Science

2023/3/30

Graph Neural Tree: A novel and interpretable deep learning-based framework for accurate molecular property predictions

Analytica Chimica Acta

2023/3/1

Mechanistic insights into the promotion of low-temperature NH3-SCR catalysis by copper auto-reduction in Cu-zeolites

Applied Catalysis B: Environmental

2023/3/1

Unravelling the correlation of dielectric barrier discharge power and performance of Pt/CeO 2 catalysts for toluene oxidation

Catalysis Science & Technology

2023

Phenothiazine-linked covalent triazine frameworks for enhanced photocatalytic aerobic oxidation reactions

Microporous and Mesoporous Materials

2023/12/1

Zhiwei Qiao
Zhiwei Qiao

H-Index: 20

Machine learning assisted high-throughput computational screening of MOFs for the capture of chemical warfare agents from the air

Separation and Purification Technology

2023/11/15

Machine learning and molecular fingerprint screening of high-performance 2D/3D MOF membranes for Kr/Xe separation

Chemical Engineering Science

2023/10/5

Quantitative prediction of corrosion resistance in ferrous alloys: A first-principles study of coupled doping of alloying elements

Journal of Materials Research and Technology

2023/9/1

Automatic Machine Learning Combined with High-Throughput Computational Screening of Hydrophobic Metal–Organic Frameworks for Capture of Methanol and Ethanol from the Air

ACS ES&T Engineering

2023/7/3

Interpretable Machine‐Learning and Big Data Mining to Predict Gas Diffusivity in Metal‐Organic Frameworks

Advanced Science

2023/7

Wei Wang
Wei Wang

H-Index: 14

Zhiwei Qiao
Zhiwei Qiao

H-Index: 20

Combining Computational Screening and Machine Learning to Predict Metal–Organic Framework Adsorbents and Membranes for Removing CH4 or H2 from Air

Membranes

2022/8/25

Large-Scale Screening and Machine Learning for Metal–Organic Framework Membranes to Capture CO2 from Flue Gas

Membranes

2022/7/11

See List of Professors in Zhiwei Qiao University(National University of Singapore)