Sili Deng

According to our database, Sili Deng authored at least 17 papers between 2020 and 2026.

Collaborative distances:

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

2026

3-D Representations for Hyperspectral Flame Tomography.

Nicolas Tricard, Zituo Chen, Sili Deng

CoRR, March, 2026

GLU: Global-Local-Uncertainty Fusion for Scalable Spatiotemporal Reconstruction and Forecasting.

Linzheng Wang, Jason Chen, Nicolas Tricard, Zituo Chen, Sili Deng

CoRR, March, 2026

Latent Generative Solvers for Generalizable Long-Term Physics Simulation.

Zituo Chen, Haixu Wu, Sili Deng

CoRR, February, 2026

Model inversion and uncertainty quantification for chemical kinetics and thermal properties in combustion waves.

Suyong Kim, Sili Deng

J. Comput. Phys., 2026

Learning multi-physical system on a unified manifold by collaboratively fused features.

Linzheng Wang, Zituo Chen, Yaojun Li, Ruiqu Deng, Ruizhi Zhang, Yonghao Luo, Lu Lu, Sili Deng

Eng. Appl. Artif. Intell., 2026

2025

Learning continuous SOC-dependent thermal decomposition kinetics for Li-ion cathodes using KA-CRNNs.

Benjamin C. Koenig, Sili Deng

CoRR, December, 2025

Kolmogorov-Arnold Chemical Reaction Neural Networks for learning pressure-dependent kinetic rate laws.

Benjamin C. Koenig, Sili Deng

CoRR, November, 2025

Flow marching for a generative PDE foundation model.

Zituo Chen, Sili Deng

CoRR, September, 2025

ChemKANs for Combustion Chemistry Modeling and Acceleration.

Benjamin C. Koenig, Suyong Kim, Sili Deng

CoRR, April, 2025

LeanKAN: a parameter-lean Kolmogorov-Arnold network layer with improved memory efficiency and convergence behavior.

Benjamin C. Koenig, Suyong Kim, Sili Deng

Neural Networks, 2025

2024

Mixtures Recomposition by Neural Nets: A Multidisciplinary Overview.

Andre Nicolle, Sili Deng, Matthias Ihme, Nursulu Kuzhagaliyeva, Emad Al Ibrahim, Aamir Farooq

J. Chem. Inf. Model., 2024

KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics.

Benjamin C. Koenig, Suyong Kim, Sili Deng

CoRR, 2024

2021

Autonomous Kinetic Modeling of Biomass Pyrolysis using Chemical Reaction Neural Networks.

Weiqi Ji, Franz Richter, Michael J. Gollner, Sili Deng

CoRR, 2021

Inference of cell dynamics on perturbation data using adjoint sensitivity.

Weiqi Ji, Bo Yuan, Ciyue Shen, Aviv Regev, Chris Sander, Sili Deng

CoRR, 2021

Stiff Neural Ordinary Differential Equations.

Suyong Kim, Weiqi Ji, Sili Deng, Christopher Rackauckas

CoRR, 2021

Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics.

Weiqi Ji, Weilun Qiu, Zhiyu Shi, Shaowu Pan, Sili Deng

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021

2020

Autonomous Discovery of Unknown Reaction Pathways from Data by Chemical Reaction Neural Network.

Weiqi Ji, Sili Deng

CoRR, 2020