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R

Robert Heymer

university of warwick

H指数:5

被引数:80

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Particle-scale design of lithium-ion battery cathodes for manufacture by coupling physics-based modelling with machine learning interpretation

基于物理建模与机器学习解释相结合的锂离子电池正极材料颗粒级设计制造

Chemical Engineering Journal

IF13.2

2025-11-120

PRE

Full factorial design of experiments dataset for parallel-connected lithium-ion cells imbalanced performance investigation

用于并联锂离子电池不平衡性能研究的实验数据集的全因子设计

IF1.4

2024-04-012

OAAI

Unveiling the performance impact of module level features on parallel-connected lithium-ion cells via explainable machine learning techniques on a full factorial design of experiments

通过可解释的机器学习技术，在完整的析因实验设计中揭示模块级功能对并联锂离子电池的性能影响

JOURNAL OF ENERGY STORAGE

IF9.8

2024-04-012

OAAI

Impact of Formulation and Slurry Properties on Lithium-ion Electrode Manufacturing

BATTERIES & SUPERCAPS

IF4.7

2023-12-213

OAAI

Optimisation of Industrially Relevant Electrode Formulations for LFP Cathodes in Lithium Ion Cells

BATTERIES-BASEL

IF4.8

2023-03-2312

OA