Daniele Ongari

About Daniele Ongari

Daniele Ongari, With an exceptional h-index of 19 and a recent h-index of 19 (since 2020), a distinguished researcher at École Polytechnique Fédérale de Lausanne, specializes in the field of data science, molecular simulation, chemical engineering.

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

Tandem Hydroformylation‐Aldol Condensation Reaction Enabled by Zn‐MOF‐74

A data-science approach to predict the heat capacity of nanoporous materials

Data-driven matching of experimental crystal structures and gas adsorption isotherms of metal-organic frameworks

Diversifying databases of metal organic frameworks for high-throughput computational screening

Color-tunable and high quantum-yield luminescence from a biomolecule-inspired single species emitter of white light

Using collective knowledge to assign oxidation states of metal cations in metal–organic frameworks

Advanced methodology for screening of novel adsorption materials for cost-efficient CO2 capture

Pyrene-based metal organic frameworks: from synthesis to applications

Daniele Ongari Information

University

Position

Post-Doc researcher

Citations(all)

1806

Citations(since 2020)

1767

Cited By

428

hIndex(all)

19

hIndex(since 2020)

19

i10Index(all)

21

i10Index(since 2020)

21

Email

University Profile Page

Google Scholar

Daniele Ongari Skills & Research Interests

data science

molecular simulation

chemical engineering

Top articles of Daniele Ongari

Tandem Hydroformylation‐Aldol Condensation Reaction Enabled by Zn‐MOF‐74

Chemistry–A European Journal

2023/7/6

Daniele Ongari
Daniele Ongari

H-Index: 11

Berend Smit
Berend Smit

H-Index: 63

A data-science approach to predict the heat capacity of nanoporous materials

Nature materials

2022/12

Data-driven matching of experimental crystal structures and gas adsorption isotherms of metal-organic frameworks

Journal of Chemical & Engineering Data

2022/2/17

Diversifying databases of metal organic frameworks for high-throughput computational screening

ACS applied materials & interfaces

2021/12/15

Color-tunable and high quantum-yield luminescence from a biomolecule-inspired single species emitter of white light

2021/8/27

Using collective knowledge to assign oxidation states of metal cations in metal–organic frameworks

Nature Chemistry

2021/7/5

Advanced methodology for screening of novel adsorption materials for cost-efficient CO2 capture

Proceedings of the 15th Greenhouse Gas Control Technologies Conference

2021/3/30

Pyrene-based metal organic frameworks: from synthesis to applications

2021

Too many materials and too many applications: an experimental problem waiting for a computational solution

2020/10/2

Thermoelasticity of flexible organic crystals from quasi-harmonic lattice dynamics: the case of copper (II) acetylacetonate

The journal of physical chemistry letters

2020/9/24

Understanding the diversity of the metal-organic framework ecosystem

Nature Communications

2020/8/13

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

2020/6/10

In silico discovery of covalent organic frameworks for carbon capture

ACS applied materials & interfaces

2020/3/26

Metal-organic frameworks as kinetic modulators for branched selectivity in hydroformylation

Nature communications

2020/2/26

Metal organic frameworks for xenon storage applications

ACS Materials Letters

2020/2/11

Daniele Ongari
Daniele Ongari

H-Index: 11

Wenqian Xu
Wenqian Xu

H-Index: 2

See List of Professors in Daniele Ongari University(École Polytechnique Fédérale de Lausanne)

Co-Authors

academic-engine