Chenru Duan

Chenru Duan

Massachusetts Institute of Technology

H-index: 21

North America-United States

About Chenru Duan

Chenru Duan, With an exceptional h-index of 21 and a recent h-index of 21 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of computational chemistry, machine learning, molecular design.

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

React-OT: Optimal Transport for Generating Transition State in Chemical Reactions

Computational Discovery of Codoped Single-Atom Catalysts for Methane-to-Methanol Conversion

Symmetry-informed geometric representation for molecules, proteins, and crystalline materials

MHub: Unlocking the Potential of Machine Learning for Materials Discovery

Machine Learning Prediction of the Experimental Transition Temperature of Fe (II) Spin-Crossover Complexes

Uncertain of uncertainties? A comparison of uncertainty quantification metrics for chemical data sets

Classification of Hemilabile Ligands Using Machine Learning

The impact of large language models on scientific discovery: a preliminary study using gpt-4

Chenru Duan Information

University

Position

Chemistry Chemical Engineering

Citations(all)

1594

Citations(since 2020)

1558

Cited By

399

hIndex(all)

21

hIndex(since 2020)

21

i10Index(all)

30

i10Index(since 2020)

29

Email

University Profile Page

Google Scholar

Chenru Duan Skills & Research Interests

computational chemistry

machine learning

molecular design

Top articles of Chenru Duan

React-OT: Optimal Transport for Generating Transition State in Chemical Reactions

arXiv preprint arXiv:2404.13430

2024/4/20

Computational Discovery of Codoped Single-Atom Catalysts for Methane-to-Methanol Conversion

ACS Catalysis

2024/2/13

Symmetry-informed geometric representation for molecules, proteins, and crystalline materials

Advances in Neural Information Processing Systems

2024/2/13

MHub: Unlocking the Potential of Machine Learning for Materials Discovery

Advances in Neural Information Processing Systems

2024/2/13

Machine Learning Prediction of the Experimental Transition Temperature of Fe (II) Spin-Crossover Complexes

The Journal of Physical Chemistry A

2023/12/27

Chenru Duan
Chenru Duan

H-Index: 10

Uncertain of uncertainties? A comparison of uncertainty quantification metrics for chemical data sets

Journal of Cheminformatics

2023/12/18

Chenru Duan
Chenru Duan

H-Index: 10

Classification of Hemilabile Ligands Using Machine Learning

The Journal of Physical Chemistry Letters

2023/12/5

Ilia Kevlishvili
Ilia Kevlishvili

H-Index: 5

Chenru Duan
Chenru Duan

H-Index: 10

The impact of large language models on scientific discovery: a preliminary study using gpt-4

arXiv preprint arXiv:2311.07361

2023/11/13

Data‐driven structural descriptor for predicting platinum‐based alloys as oxygen reduction electrocatalysts

InfoMat

2023/6

Assessing the Performance of Approximate Density Functional Theory on 95 Experimentally Characterized Fe (II) Spin Crossover Complexes

The Journal of Chemical Physics

2023/7/14

Chenru Duan
Chenru Duan

H-Index: 10

A database of ultrastable MOFs reassembled from stable fragments with machine learning models

Matter

2023/5/3

Shuwen Yue
Shuwen Yue

H-Index: 4

Chenru Duan
Chenru Duan

H-Index: 10

Accurate transition state generation with an object-aware equivariant elementary reaction diffusion model

Nature Computational Science

2023/12

Chenru Duan
Chenru Duan

H-Index: 10

Yuanqi Du
Yuanqi Du

H-Index: 0

Gas-phase and solid-state electronic structure analysis and DFT benchmarking of HfCO

Physical Chemistry Chemical Physics

2023

Yeongsu Cho
Yeongsu Cho

H-Index: 4

Chenru Duan
Chenru Duan

H-Index: 10

Insights into the deviation from piecewise linearity in transition metal complexes from supervised machine learning models

Physical Chemistry Chemical Physics

2023

Chenru Duan
Chenru Duan

H-Index: 10

Low-cost machine learning prediction of excited state properties of iridium-centered phosphors

Chemical Science

2023

Chenru Duan
Chenru Duan

H-Index: 10

A transferable recommender approach for selecting the best density functional approximations in chemical discovery

Nature Computational Science

2023/1

Chenru Duan
Chenru Duan

H-Index: 10

Ralf Meyer
Ralf Meyer

H-Index: 16

Machine Learning Models Predict Calculation Outcomes with the Transferability Necessary for Computational Catalysis

J. Chem. Theory Comput.

2022/6/23

Representations and strategies for transferable machine learning improve model performance in chemical discovery

The Journal of Chemical Physics

2022/2/21

Chenru Duan
Chenru Duan

H-Index: 10

Detection of multi-reference character imbalances enables a transfer learning approach for virtual high throughput screening with coupled cluster accuracy at DFT cost

Chemical Science

2022

Chenru Duan
Chenru Duan

H-Index: 10

DFT-Based Multireference Diagnostics in the Solid State: Application to Metal–Organic Frameworks

Journal of Chemical Theory and Computation

2022/12/22

Yeongsu Cho
Yeongsu Cho

H-Index: 4

Chenru Duan
Chenru Duan

H-Index: 10

See List of Professors in Chenru Duan University(Massachusetts Institute of Technology)

Co-Authors

academic-engine