Jonathan Sze Choong Low

According to our database, Jonathan Sze Choong Low authored at least 8 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems.

Félix Chavelli, Zi-Yu Khoo, Dawen Wu, Jonathan Sze Choong Low, Stéphane Bressan

CoRR, 2024

A Personalised Learning Tool for Physics Undergraduate Students Built On a Large Language Model for Symbolic Regression.

Yufan Zhu, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan

CoRR, 2024

2023

Separable Hamiltonian Neural Networks.

Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan

CoRR, 2023

Celestial Machine Learning - Discovering the Planarity, Heliocentricity, and Orbital Equation of Mars with AI Feynman.

Zi-Yu Khoo, Gokul Rajiv, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan

Proceedings of the Information Integration and Web Intelligence, 2023

A Comparative Evaluation of Additive Separability Tests for Physics-Informed Machine Learning.

Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan

Proceedings of the Information Integration and Web Intelligence, 2023

Celestial Machine Learning - From Data to Mars and Beyond with AI Feynman.

Zi-Yu Khoo, Abel Yang, Jonathan Sze Choong Low, Stéphane Bressan

Proceedings of the Database and Expert Systems Applications, 2023

Assessing the Effectiveness of Intrinsic Dimension Estimators for Uncovering the Phase Space Dimensionality of Dynamical Systems from State Observations - A Comparative Analysis.

Félix Chavelli, Zi-Yu Khoo, Jonathan Sze Choong Low, Stéphane Bressan

Proceedings of the Database and Expert Systems Applications, 2023

2019

Materials informatics.

Seeram Ramakrishna, Tong-Yi Zhang, Wen-Cong Lu, Quan Qian, Jonathan Sze Choong Low, Jeremy Heiarii Ronald Yune, Daren Zong Loong Tan, Stéphane Bressan, Stefano Sanvito, Surya R. Kalidindi

J. Intell. Manuf., 2019