Burigede Liu

Burigede Liu

California Institute of Technology

H-index: 16

North America-United States

About Burigede Liu

Burigede Liu, With an exceptional h-index of 16 and a recent h-index of 16 (since 2020), a distinguished researcher at California Institute of Technology, specializes in the field of solid mechanics, deep learning, uncertainty quantification.

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

Towards Quantum Computational Mechanics

A learning-based optimal uncertainty quantification method and its application to ballistic impact problems

Learning macroscopic internal variables and history dependence from microscopic models

Learning Markovian homogenized models in viscoelasticity

Fourier neural operator with learned deformations for pdes on general geometries

Learning chaotic dynamics in dissipative systems

Strengthening magnesium by design: Integrating alloying and dynamic processing

Multiscale modeling of materials: Computing, data science, uncertainty and goal-oriented optimization

Burigede Liu Information

University

Position

Postdoc scholar

Citations(all)

3139

Citations(since 2020)

3138

Cited By

114

hIndex(all)

16

hIndex(since 2020)

16

i10Index(all)

19

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Burigede Liu Skills & Research Interests

solid mechanics

deep learning

uncertainty quantification

Top articles of Burigede Liu

Towards Quantum Computational Mechanics

arXiv preprint arXiv:2312.03791

2023/12/6

A learning-based optimal uncertainty quantification method and its application to ballistic impact problems

Mechanics of Materials

2023/9/1

Xingsheng Sun
Xingsheng Sun

H-Index: 8

Burigede Liu
Burigede Liu

H-Index: 6

Learning macroscopic internal variables and history dependence from microscopic models

Journal of the Mechanics and Physics of Solids

2023/9/1

Learning Markovian homogenized models in viscoelasticity

Multiscale Modeling & Simulation

2023/6/10

Fourier neural operator with learned deformations for pdes on general geometries

Journal of Machine Learning Research

2023

Learning chaotic dynamics in dissipative systems

Advances in Neural Information Processing Systems

2022/12/6

Strengthening magnesium by design: Integrating alloying and dynamic processing

Mechanics of Materials

2022/4/1

Multiscale modeling of materials: Computing, data science, uncertainty and goal-oriented optimization

2022/2/1

Influence of microstructure on the failure of ultra-high molecular weight polyethylene composite beams impacted by blunt projectiles

Mechanics of Materials

2022/1/1

Recrystallization mechanisms, grain refinement, and texture evolution during ECAE processing of Mg and its alloys

Mechanics of Materials

2021/11/1

Learning dissipative dynamics in chaotic systems

arXiv preprint arXiv:2106.06898

2021/6/13

Concurrent goal-oriented materials-by-design

arXiv preprint arXiv:2106.06074

2021/6/10

Markov neural operators for learning chaotic systems

arXiv preprint arXiv:2106.06898

2021/6

Hierarchical multiscale quantification of material uncertainty

Journal of the Mechanics and Physics of Solids

2021/8/1

A learning-based multiscale method and its application to inelastic impact problems

Journal of the Mechanics and Physics of Solids

2022/1/1

Fourier neural operator for parametric partial differential equations

arXiv preprint arXiv:2010.08895

2020/10/18

A physically-based constitutive model for the shear-dominated response and strain rate effect of carbon fibre reinforced composites

Composites Part B: Engineering

2020/7/15

Wei Tan
Wei Tan

H-Index: 5

Burigede Liu
Burigede Liu

H-Index: 6

Multipole Graph Neural Operator for Parametric Partial Differential Equations

Advances in Neural Information Processing Systems

2020

Out-of-plane compressive response of additively manufactured cross-ply composites

Journal of Mechanics

2020/4

Neural operator: Graph kernel network for partial differential equations

arXiv preprint arXiv:2003.03485

2020/3/7

See List of Professors in Burigede Liu University(California Institute of Technology)

Co-Authors

academic-engine