| Multi-Fidelity Physics-Constrained Neural Network and Its Application in Materials Modeling D Liu, Y Wang Journal of Mechanical Design, 1-35, 2019 | 188 | 2019 |
| 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 | 188 | 2019 |
| Mesoscale multi-physics simulation of rapid solidification of Ti-6Al-4V alloy D Liu, Y Wang Additive Manufacturing 25, 551-562, 2019 | 65 | 2019 |
| A dual-dimer method for training physics-constrained neural networks with minimax architecture D Liu, Y Wang Neural Networks 136, 112-125, 2021 | 64 | 2021 |
| 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 | 37 | 2017 |
| 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 | 34 | 2016 |
| 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 | 27 | 2019 |
| 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 | 19 | 2019 |
| 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 | 19 | 2016 |
| 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 | 17 | 2017 |
| 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 | 15 | 2018 |
| 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 | 12 | 2023 |
| 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 | 9 | 2023 |
| 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 | 9 | 2020 |
| 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 | 5 | 2022 |
| 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, ... | 5 | 2020 |
| 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 | 4 | 2022 |
| 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 | 4 | 2019 |
| 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 | 3 | 2022 |
| Data-driven acceleration of first-principles saddle point and local minimum search based on scalable Gaussian processes A Tran, D Liu, L He-Bitoun, Y Wang Uncertainty Quantification in Multiscale Materials Modeling, 119-168, 2020 | 3 | 2020 |
Yiming Kevin RongWorcester Polytechnic Institute在 wpi.edu 的电子邮件经过验证
