Qiaohao Liang

About Qiaohao Liang

Qiaohao Liang, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at Massachusetts Institute of Technology, specializes in the field of Materials Science, Machine learning, Physics-based Modeling, Battery.

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

Physics-based Modeling of Pulse and Relaxation of High-rate Li/CF-SVO batteries in Implantable Medical Devices

Improving Diagnostics and Prognostics of Implantable Cardioverter Defibrillator Batteries with Interpretable Machine Learning Models

Hybrid-MPET: An Open-Source Simulation Software for Hybrid Electrode Batteries

Physics-Based Modelling of Hybrid Cathode Li/CFx-SVO Batteries Under Pulse Discharge

Modelling pulse discharge of hybrid cathode Li/CFx-SVO batteries using Multiphase Porous Electrode Theory

An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties. Matter 5, 314–335

Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

Predicting antimicrobial activity of conjugated oligoelectrolyte molecules via machine learning

Qiaohao Liang Information

University

Position

___

Citations(all)

259

Citations(since 2020)

257

Cited By

20

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Google Scholar

Qiaohao Liang Skills & Research Interests

Materials Science

Machine learning

Physics-based Modeling

Battery

Top articles of Qiaohao Liang

Physics-based Modeling of Pulse and Relaxation of High-rate Li/CF-SVO batteries in Implantable Medical Devices

arXiv preprint arXiv:2402.03677

2024/2/6

Qiaohao Liang
Qiaohao Liang

H-Index: 3

Giacomo Galuppini
Giacomo Galuppini

H-Index: 5

Improving Diagnostics and Prognostics of Implantable Cardioverter Defibrillator Batteries with Interpretable Machine Learning Models

Available at SSRN 4700630

2024/1/8

Giacomo Galuppini
Giacomo Galuppini

H-Index: 5

Qiaohao Liang
Qiaohao Liang

H-Index: 3

Hybrid-MPET: An Open-Source Simulation Software for Hybrid Electrode Batteries

Journal of the Electrochemical Society

2023/9/20

Qiaohao Liang
Qiaohao Liang

H-Index: 3

Physics-Based Modelling of Hybrid Cathode Li/CFx-SVO Batteries Under Pulse Discharge

Electrochemical Society Meeting Abstracts 243

2023/8/28

Qiaohao Liang
Qiaohao Liang

H-Index: 3

Modelling pulse discharge of hybrid cathode Li/CFx-SVO batteries using Multiphase Porous Electrode Theory

APS March Meeting Abstracts

2023

Qiaohao Liang
Qiaohao Liang

H-Index: 3

An invertible crystallographic representation for general inverse design of inorganic crystals with targeted properties. Matter 5, 314–335

Matter

2021/12/20

Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains

npj Computational Materials

2021/11/18

Predicting antimicrobial activity of conjugated oligoelectrolyte molecules via machine learning

Journal of the American Chemical Society

2021/11/5

Scalable bayesian optimization accelerates process optimization of penicillin production

2021/10/22

Qiaohao Liang
Qiaohao Liang

H-Index: 3

Lipeng Lai
Lipeng Lai

H-Index: 4

Inverse design of crystals using generalized invertible crystallographic representation

arXiv preprint arXiv:2005.07609

2020/5/15

See List of Professors in Qiaohao Liang University(Massachusetts Institute of Technology)