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Dehao Liu
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Cited by
Year
Multi-Fidelity Physics-Constrained Neural Network and Its Application in Materials Modeling
D Liu, Y Wang
Journal of Mechanical Design, 1-35, 2019
2212019
Multi-Fidelity Physics-Constrained Neural Network and its Application in Materials Modeling
D Liu, Y Wang
International Design Engineering Technical Conferences and Computers and …, 2019
2212019
A dual-dimer method for training physics-constrained neural networks with minimax architecture
D Liu, Y Wang
Neural Networks 136, 112-125, 2021
852021
Mesoscale multi-physics simulation of rapid solidification of Ti-6Al-4V alloy
D Liu, Y Wang
Additive Manufacturing 25, 551-562, 2019
722019
Molecular dynamics simulation on formation mechanism of grain boundary steps in micro-cutting of polycrystalline copper
D Liu, G Wang, J Yu, YK Rong
Computational Materials Science 126, 418-425, 2017
412017
An in-situ infrared temperature-measurement method with back focusing on surface for creep-feed grinding
D Liu, G Wang, Z Nie, YK Rong
Measurement 94, 645-652, 2016
342016
Multi-physics simulation of dendritic growth in magnetic field assisted solidification
L Cao, D Liu, P Jiang, X Shao, Q Zhou, Y Wang
International Journal of Heat and Mass Transfer 144, 2019
262019
Quantifying Uncertainty in the Process-Structure Relationship for Al-Cu Solidification
A Tran, D Liu, H Tran, Y Wang
Modelling and Simulation in Materials Science and Engineering, 2019
212019
Phase-based constitutive modeling and experimental study for dynamic mechanical behavior of martensitic stainless steel under high strain rate in a thermal cycle
Z Nie, G Wang, J Yu, D Liu, YK Rong
Mechanics of Materials 101, 160-169, 2016
202016
Multifidelity physics-constrained neural networks with minimax architecture
D Liu, P Pusarla, Y Wang
Journal of Computing and Information Science in Engineering 23 (3), 031008, 2023
192023
A statistical model of equivalent grinding heat source based on random distributed grains
Z Nie, G Wang, D Liu, Y Rong
Journal of Manufacturing Science and Engineering 140 (5), 051016, 2018
182018
Mesoscale multi-physics simulation of solidification in selective laser melting process using a phase field and thermal lattice boltzmann model
D Liu, Y Wang
International Design Engineering Technical Conferences and Computers and …, 2017
182017
Physics-constrained Bayesian neural network for bias and variance reduction
L Malashkhia, D Liu, Y Lu, Y Wang
Journal of Computing and Information Science in Engineering 23 (1), 011012, 2023
152023
Simultaneous optimization of stiffness, permeability, and surface area in metallic bone scaffolds
AH Foroughi, D Liu, MJ Razavi
International Journal of Engineering Science 193, 103961, 2023
92023
Multiphysics Simulation of Nucleation and Grain Growth in Selective Laser Melting of Alloys
D Liu, Y Wang
Journal of Computing and Information Science in Engineering, 2020
92020
Metal additive manufacturing process design based on physics constrained neural networks and multi-objective bayesian optimization
D Liu, Y Wang
Manufacturing Letters 33, 817-827, 2022
62022
A stochastic reduced-order model for statistical microstructure descriptors evolution
A Tran, T Wildey, J Sun, D Liu, Y Wang
Journal of Computing and Information Science in Engineering, 1-18, 2022
62022
Solidification and grain formation in alloys: a 2D application of the grand-potential-based phase-field approach
S Biswas, D Liu, LK Aagesen, W Jiang
Modelling and Simulation in Materials Science and Engineering 30 (2), 025013, 2022
62022
Multiscale Process Modeling of Shape Memory Alloy Fabrication with Directed Energy Deposition
JM Sestito, D Liu, Y Lu, JH Song, AV Tran, MJ Kempner, TAL Harris, ...
52020
Simulation of nucleation and grain growth in selective laser melting of Ti-6Al-4V alloy
D Liu, Y Wang
Proceedings of 2019 ASME International Design Engineering Technical …, 2019
52019
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Articles 1–20