PDE-Constrained Gaussian Process Model on Material Removal Rate of Wire Saw Slicing Process

By H. Zhao, Ran Jin, Su Wu, Jianjun Shi. 2011

38 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Mechanical Engineering, Mechanics of Materials, Probabilistic & Bayesian Methods, AI for Physical Sciences

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. Zhi Chen
2. Cynthia Rudin

In Probabilistic & Bayesian Methods

1. Haiyang Huang
2. Cynthia Rudin
3. Tong Wang
4. Margo I. Seltzer
5. Nadia Burkart
6. Marco F. Huber

In AI for Physical Sciences

1. Lesia Semenova
2. Chudi Zhong
3. Zhi Chen
4. Haiyang Huang
5. Cynthia Rudin

Citations in the corpus

• Interpretable Machine Learning: Fundamental Principles and 10 Grand Challenges (2021, methodology): “Zhao et al. (2011) developed a PDEconstrained Gaussian process model, based on the global Galerkin discretization of the governing PDEs for the wire saw slicing process.”