Dehao Liu

Orcid: 0000-0002-6437-7929

According to our database1, Dehao Liu authored at least 8 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2023
Multifidelity Physics-Constrained Neural Networks With Minimax Architecture.
J. Comput. Inf. Sci. Eng., June, 2023

Physics-Constrained Bayesian Neural Network for Bias and Variance Reduction.
J. Comput. Inf. Sci. Eng., February, 2023

2022
A Stochastic Reduced-Order Model for Statistical Microstructure Descriptors Evolution.
J. Comput. Inf. Sci. Eng., 2022

2021
A Dual-Dimer method for training physics-constrained neural networks with minimax architecture.
Neural Networks, 2021

2020
Multiphysics Simulation of Nucleation and Grain Growth in Selective Laser Melting of Alloys.
J. Comput. Inf. Sci. Eng., 2020

Multiscale stochastic reduced-order model for uncertainty propagation using Fokker-Planck equation with microstructure evolution applications.
CoRR, 2020

2016
一种具有相依关系的二维云推理方法及其在预测中的应用 (Uncertainty Reasoning Based on Related Planar Cloud and Application in Prediction).
计算机科学, 2016

2010
Performance Optimization of Forging Manipulator during the Whole Forging Stroke.
Proceedings of the Intelligent Robotics and Applications - Third International Conference, 2010


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