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RESEARCH PAPER · Applied Energy · 2021

Sparse data machine learning for battery health estimation and optimal design incorporating material characteristics

Jianyu Zhang, Wei D. Lu

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8 direct citing papers in this saved network. Explore the next layer with second-order citations.

Open in your workspace →Saved 2026-10-14 · complete coverage
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Sparse data machine learning for battery health estimation and optimal design incorporating material characteristicsOriginalMachine Learning approach for Prediction of residual energy in batteries9Enhancing the Thermal Dissipation in Batteries via Inclusion of Central Heat Sink5Machine learning in energy storage material discovery and performance prediction77Controlling the temperature build-up in electrode-sealed coin-shaped batteries via designing central heat dissipator2Active learning-based generative design of halogen-free flame-retardant polymeric composites6BeliefNet: A Neurosymbolic Model for Context-Based Traversability Predictions in Complex Environments0Dynamic suppression of temperature buildup in coin batteries via PCM utilization0Sparse data inverse design framework for flame-retardant polymer composites0

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8 direct citing papers saved.

  1. Machine Learning approach for Prediction of residual energy in batteries

    Energy Reports · 2022-10-19

    T. Jayakumar, Natesh M. Gowda, R. Sujatha, Shankar Nayak Bhukya, Gopalakrishnan Padmapriya, S. Radhika, V. Mohanavel, M. Sudhakar, Ravishankar Sathyamurthy

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  2. Enhancing the Thermal Dissipation in Batteries via Inclusion of Central Heat Sink

    Journal of Electrochemical Energy Conversion and Storage · 2023-06-08

    Asghar Aryanfar, Fadi Elias, William A. Goddard

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  3. Machine learning in energy storage material discovery and performance prediction

    Chemical Engineering Journal · 2024-05-16

    Guochang Huang, Fuqiang Huang, Wujie Dong

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  4. Controlling the temperature build-up in electrode-sealed coin-shaped batteries via designing central heat dissipator

    Applied Thermal Engineering · 2024-07-24

    Asghar Aryanfar, Fadi Elias, William A. Goddard

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  5. Active learning-based generative design of halogen-free flame-retardant polymeric composites

    Journal of Materials Informatics · 2025-05-21

    MA Wei-bin, Ling Li, Yufan Zhang, Minjie Li, Na Song, Peng Ding

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  6. BeliefNet: A Neurosymbolic Model for Context-Based Traversability Predictions in Complex Environments

    Neurosymbolic Artificial Intelligence · 2026-04-01

    Tom Scott, Argyrios C. Zolotas, Yang Xing

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  7. Dynamic suppression of temperature buildup in coin batteries via PCM utilization

    Applied Thermal Engineering · 2026-05-26

    Asghar Aryanfar, Bugracan Bozkurt, William A. Goddard III

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  8. Sparse data inverse design framework for flame-retardant polymer composites

    Composites Part A Applied Science and Manufacturing · 2026-09-25

    Weibin Ma, Ling Li, Yu Zhang, Xinquan Zou, Kai Zhang, Feng Wang, Minjie Li, Peng Ding

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