PINN surrogate of Li-ion battery models for parameter inference. Part I: Implementation and multi-fidelity hierarchies for the single-particle model
Fuente:
arXiv
Saved in:
| Main Authors: | Hassanaly, Malik, Weddle, Peter J., King, Ryan N., De, Subhayan, Doostan, Alireza, Randall, Corey R., Dufek, Eric J., Colclasure, Andrew M., Smith, Kandler |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
by: Hassanaly, Malik, et al.
Published: (2023)
by: Hassanaly, Malik, et al.
Published: (2023)
Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries
by: Hassanaly, Malik, et al.
Published: (2026)
by: Hassanaly, Malik, et al.
Published: (2026)
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
by: Cheng, Nuojin, et al.
Published: (2023)
by: Cheng, Nuojin, et al.
Published: (2023)
Physics-informed neural network surrogate modeling of single particle model for lithium-ion batteries
by: Zhuang, Yi, et al.
Published: (2026)
by: Zhuang, Yi, et al.
Published: (2026)
Langevin Bi-fidelity Importance Sampling for Failure Probability Estimation
by: Cheng, Nuojin, et al.
Published: (2025)
by: Cheng, Nuojin, et al.
Published: (2025)
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search
by: Cheng, Nuojin, et al.
Published: (2025)
by: Cheng, Nuojin, et al.
Published: (2025)
Quadrature Sampling of Parametric Models with Bi-fidelity Boosting
by: Cheng, Nuojin, et al.
Published: (2022)
by: Cheng, Nuojin, et al.
Published: (2022)
Prediction of Ultrasonic Guided Wave Propagation in Solid-fluid and their Interface under Uncertainty using Machine Learning
by: De, Subhayan, et al.
Published: (2021)
by: De, Subhayan, et al.
Published: (2021)
Bi-fidelity Interpolative Decomposition for Multimodal Data
by: Cutforth, Murray, et al.
Published: (2025)
by: Cutforth, Murray, et al.
Published: (2025)
DiffLiB: High-fidelity differentiable modeling of lithium-ion batteries and efficient gradient-based parameter identification
by: Xu, Weipeng, et al.
Published: (2025)
by: Xu, Weipeng, et al.
Published: (2025)
Integration of local and global surrogates for failure probability estimation
by: Gaymann, Audrey, et al.
Published: (2026)
by: Gaymann, Audrey, et al.
Published: (2026)
Uncertainty-aware multi-fidelity surrogate modeling with noisy data
by: Giannoukou, Katerina, et al.
Published: (2024)
by: Giannoukou, Katerina, et al.
Published: (2024)
On the definition and importance of interpretability in scientific machine learning
by: Rowan, Conor, et al.
Published: (2025)
by: Rowan, Conor, et al.
Published: (2025)
Entanglement cost hierarchies in quantum fragmented mixed states
by: Sahu, Subhayan, et al.
Published: (2025)
by: Sahu, Subhayan, et al.
Published: (2025)
Multi-fidelity Gaussian process surrogate modeling for regression problems in physics
by: Ravi, Kislaya, et al.
Published: (2024)
by: Ravi, Kislaya, et al.
Published: (2024)
A Priori Uncertainty Quantification of Reacting Turbulence Closure Models using Bayesian Neural Networks
by: Pash, Graham, et al.
Published: (2024)
by: Pash, Graham, et al.
Published: (2024)
Daily dust deposition fluxes at Izana, Tenerife collected by different techniques: particle size and composition from single particle electron microscopy
by: Waza, Andebo, et al.
Published: (2019)
by: Waza, Andebo, et al.
Published: (2019)
Power and temperature dependent model for High Q superconductors
by: Alexander, Ashish, et al.
Published: (2022)
by: Alexander, Ashish, et al.
Published: (2022)
A high-fidelity surrogate model for the ion temperature gradient (ITG) instability using a small expensive simulation dataset
by: Wan, Chenguang, et al.
Published: (2025)
by: Wan, Chenguang, et al.
Published: (2025)
Characterising harmful data sources when constructing multi-fidelity surrogate models
by: Andrés-Thió, Nicolau, et al.
Published: (2024)
by: Andrés-Thió, Nicolau, et al.
Published: (2024)
Noise-robust multi-fidelity surrogate modelling for parametric partial differential equations
by: Kent, Benjamin M., et al.
Published: (2025)
by: Kent, Benjamin M., et al.
Published: (2025)
Stochastic 3D reconstruction of cracked polycrystalline NMC particles using 2D SEM data
by: Rieder, Philipp, et al.
Published: (2024)
by: Rieder, Philipp, et al.
Published: (2024)
Opinion on sustainability-performance relationship: Na-ion batteries versus Li-ion batteries
by: Sangsinsorn, Siripak, et al.
Published: (2024)
by: Sangsinsorn, Siripak, et al.
Published: (2024)
Health diagnosis and recuperation of aged Li-ion batteries with data analytics and equivalent circuit modeling
by: Made, Riko I, et al.
Published: (2023)
by: Made, Riko I, et al.
Published: (2023)
In Situ Training of Implicit Neural Compressors for Scientific Simulations via Sketch-Based Regularization
by: Simpson, Cooper, et al.
Published: (2025)
by: Simpson, Cooper, et al.
Published: (2025)
Online randomized interpolative decomposition with a posteriori error estimator for temporal PDE data reduction
by: Li, Angran, et al.
Published: (2024)
by: Li, Angran, et al.
Published: (2024)
Physics-informed solution reconstruction in elasticity and heat transfer using the explicit constraint force method
by: Rowan, Conor, et al.
Published: (2025)
by: Rowan, Conor, et al.
Published: (2025)
Generating multi-scale NMC particles with radial grain architectures using spatial stochastics and GANs
by: Fuchs, Lukas, et al.
Published: (2024)
by: Fuchs, Lukas, et al.
Published: (2024)
Lithium-ion battery modelling for nonisothermal conditions
by: Schloms, Felix, et al.
Published: (2024)
by: Schloms, Felix, et al.
Published: (2024)
One‐step pore diffusion mechanism of Li + in solid electrolyte interphase for fast‐charging lithium‐ion battery
by: Shan Wang, et al.
Published: (2024)
by: Shan Wang, et al.
Published: (2024)
Adversarial Multi-Agent Reinforcement Learning for Proactive False Data Injection Detection
by: Chen, Kejun, et al.
Published: (2024)
by: Chen, Kejun, et al.
Published: (2024)
Discovery of False Data Injection Schemes on Frequency Controllers with Reinforcement Learning
by: Prasad, Romesh, et al.
Published: (2024)
by: Prasad, Romesh, et al.
Published: (2024)
Neutron-enhanced ion transport in cathode coating of Li-ion batteries
by: Nguyen, Ha M., et al.
Published: (2026)
by: Nguyen, Ha M., et al.
Published: (2026)
Machine learning surrogate models for particle insertions and element substitutions
by: Jinnouchi, Ryosuke
Published: (2024)
by: Jinnouchi, Ryosuke
Published: (2024)
Learning Li-ion battery health and degradation modes from data with aging-aware circuit models
by: Zhou, Zihao, et al.
Published: (2024)
by: Zhou, Zihao, et al.
Published: (2024)
Comparing fine-tuning strategies of MACE machine learning force field for modeling Li-ion diffusion in LiF for batteries
by: Alghamdi, Nada, et al.
Published: (2025)
by: Alghamdi, Nada, et al.
Published: (2025)
Phase field modelling of cracking and capacity fade in core-shell cathode particles for lithium-ion batteries
by: Tu, Y., et al.
Published: (2025)
by: Tu, Y., et al.
Published: (2025)
Modernizing full posterior inference for surrogate modeling of categorical-output simulation experiments
by: Cooper, Andrew, et al.
Published: (2025)
by: Cooper, Andrew, et al.
Published: (2025)
Anodes for Li‐ion batteries based on titanium fluorides
by: Ekaterina V. Astrova, et al.
Published: (2024)
by: Ekaterina V. Astrova, et al.
Published: (2024)
Multi-fidelity surrogate with heterogeneous input spaces for modeling melt pools in laser-directed energy deposition
by: Menon, Nandana, et al.
Published: (2024)
by: Menon, Nandana, et al.
Published: (2024)
Similar Items
-
PINN surrogate of Li-ion battery models for parameter inference. Part II: Regularization and application of the pseudo-2D model
by: Hassanaly, Malik, et al.
Published: (2023) -
Neural posterior estimation for scalable and accurate inverse parameter inference in Li-ion batteries
by: Hassanaly, Malik, et al.
Published: (2026) -
Bi-fidelity Variational Auto-encoder for Uncertainty Quantification
by: Cheng, Nuojin, et al.
Published: (2023) -
Physics-informed neural network surrogate modeling of single particle model for lithium-ion batteries
by: Zhuang, Yi, et al.
Published: (2026) -
Langevin Bi-fidelity Importance Sampling for Failure Probability Estimation
by: Cheng, Nuojin, et al.
Published: (2025)