Jia Zhao

Materials Chemistry · with Wang · 2017–2020

A researcher in the Science corpus: 4 papers; trusts 24 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Materials Chemistry — 37 citations into it; #7,250 of 11,513 by trust here, #9,387 by citations
• Computational Mechanics — 34 citations into it; #5,797 of 10,001 by trust here, #5,157 by citations
• Computational Theory and Mathematics — 18 citations into it
• Statistical and Nonlinear Physics — 12 citations into it
• Aerospace Engineering — 9 citations into it; #4,569 of 6,421 by trust here, #4,066 by citations
• Artificial Intelligence — 8 citations into it
• Numerical Analysis — 7 citations into it
• AI for Physical Sciences — 6 citations into it

Whom Jia Zhao trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Jie Shen
2. Xiaofeng Yang
3. Cheng Wang
4. Steven M. Wise
5. Maizar Raissi
6. L. Eon Bottou
7. Robert Hecht-Nielsen
8. Junseok Kim
9. Jean-Luc Guermond
10. Chuanju Xu

Who trusts Jia Zhao overall

1. Xiaofeng Yang
2. Xiaoli Li
3. Jie Shen
4. Yue Yan
5. Wenbin Chen
6. Guangpu Zhu
7. Colby Wight

Papers from Jia Zhao's perspective

Ordered by how strongly the researchers Jia Zhao trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Phase-Field Model and Its Numerical Approximation for Two-Phase Incompressible Flows with Different Densities and Viscosities (SIAM Journal on Scientific Computing)
2. Stability Analysis of Large Time-Stepping Methods for Epitaxial Growth Models (SIAM Journal on Numerical Analysis)
3. An overview of projection methods for incompressible flows
4. ImageNet classification with deep convolutional neural networks
5. Numerical approximations of Allen-Cahn and Cahn-Hilliard equations
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Phase field modeling and simulation of three-phase flows
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Second-order Convex Splitting Schemes for Gradient Flows with Ehrlich-Schwoebel Type Energy: Application to Thin Film Epitaxy (SIAM Journal on Numerical Analysis)
10. Error analysis of stabilized semi-implicit method of Allen-Cahnequation

Their papers

• Numerical approximations for a phase field dendritic crystal growth model based on the invariant energy quadratization approach (2017) — 249 citations
• Numerical approximations for the molecular beam epitaxial growth model based on the invariant energy quadratization method (2017) — 340 citations
• Solving Allen-Cahn and Cahn-Hilliard Equations using the Adaptive Physics Informed Neural Networks (2020) — 324 citations
• A novel linear second order unconditionally energy stable scheme for a hydrodynamic Q-tensor model of liquid crystals (2017) — 150 citations