Publications

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Categorization of congruent TPMS by geometric features using manifold learning and clustering

Published in Computational Materials Science, 2026

Algorithmic clustering of Congruent TPMS structures by geometric properties

Recommended citation: Stallard, S., Adam, A., Yang, G., Bergman, T. L., & Li, X. (2026). Categorization of congruent TPMS by geometric features using manifold learning and clustering. Computational Materials Science, 268, 114667. https://doi.org/10.1016/j.commatsci.2026.114667
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Self-generated phosphate/oxysulfide passivation from dry-processed single-crystal NMC811 stabilizes argyrodite sulfide interfaces

Published in Energy Storage Materials, 2026

Systematic investigation of single-crystal versus polycrystalline Ni-rich cathodes

Recommended citation: Kim, C., Li, Y., Adam, A., Wu, W., Parker, G., Jang, I., Ahn, Y., Su, Y.-F., Meyer, H. M., III, Yu, X.-Y., Nanda, J., & Yang, G. (2026). Self-generated phosphate/oxysulfide passivation from dry-processed single-crystal NMC811 stabilizes argyrodite sulfide interfaces. Energy Storage Materials, 105009. https://doi.org/10.1016/j.ensm.2026.105009
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A General Framework for Predicting Permeability in Porous Structures Using Convolutional Neural Networks with Error Estimation

Published in Transport in Porous Media, 2025

Discussion on CNN predictions of in-plane permeability

Recommended citation: Adam, A., Stallard, S.L., Fang, H. et al. A General Framework for Predicting Permeability in Porous Structures Using Convolutional Neural Networks with Error Estimation. Transp Porous Med 152, 100 (2025). https://doi.org/10.1007/s11242-025-02239-4
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ED-cPSD: Fast Phase-Size Distribution via Sequential Erosion-Dilation

Published in SoftwareX, 2025

Original Open-Source Software publication for Erosion-Dilation continuous Phase-Size Distributions (ED-cPSD)

Recommended citation: A. Adam, H. Fang, G. Yang, X. Li (2025). ED-cPSD: Fast Phase-Size Distribution Via Sequential Erosion-Dilation. SoftwareX
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Effective Thermal Conductivity Estimation Using a Convolutional Neural Network and Its Application in Topology Optimization

Published in Energy and AI, 2024

Fast estimation of effective thermal conductivity for 2D binary structures using convolutional neural networks applied in topology optimization test cases.

Recommended citation: Andre Adam, Huazhen Fang, Xianglin Li, Effective thermal conductivity estimation using a convolutional neural network and its application in topology optimization, Energy and AI, Volume 15, 2024, 100310, ISSN 2666-5468, https://doi.org/10.1016/j.egyai.2023.100310.
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Efficient Reconstruction and Validation of Heterogeneous Microstructures for Energy Applications

Published in International Journal of Energy Research, 2022

Novel parallel implementation and studies on the efficiency and accuracy of the Yeong-Torquato algorithm for random media reconstruction.

Recommended citation: Adam A, Wang F, Li X. Efficient reconstruction and validation of heterogeneous microstructures for energy applications. Int J Energy Res. 2022; 46(15): 22757-22771. doi:10.1002/er.8578
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Datasets

Reconstructed 3D Li-O2 Battery Electrodes

Published in Mendeley Data, 2026

Dataset includes a series of 3D battery electrodes reconstructed from NanoCT scans.

Recommended citation: Li, X., Adam, A. (2026, March 11). Reconstructed 3D Li-O2 Battery Electrodes [Dataset]. Digital Porous Media Portal. https://www.doi.org/10.17612/6w2a-ew85
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Permeability Prediction in 2D: Dataset and Trained Convolutional Neural Networks

Published in Mendeley Data, 2024

Dataset used for training CNNs for permeability prediction of 2D images. Trained CNN models are included.

Recommended citation: Adam, Andre; Stallard, Silven; Fang, Huazhen; Li, Xianglin (2024), “Permeability Prediction in 2D: Dataset and Trained Convolutional Neural Networks”, Mendeley Data, V1, doi: 10.17632/576dvrrsdx.1
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2D Binary Images and Effective Thermal Conductivity CFD Results

Published in Mendeley Data, 2022

Dataset used for training CNNs for effective thermal conductivity prediction in 2D images.

Recommended citation: Adam, Andre; Li, Xianglin; Fang, Huazhen (2023), “2D Binary Images and Effective Thermal Conductivity CFD Results”, Mendeley Data, V2, doi: 10.17632/454dsrmdyf.2
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Other Publications

Binder Effects on Processing, Mechanical Properties, and Performance of Thin Sulfide Solid-State Electrolytes

Published in Batteries & Supercaps, 2025

This work uncovers how binder chemistry governs the structure, processability, and electrochemical performance of sulfide solid-state electrolytes.

Recommended citation: Li, Y., Kim, C., Wu, W., Adam, A., Hasan, F., Zawodzinski, T., Nanda, J., & Yang, G. (2025). Binder Effects on Processing, Mechanical Properties, and Performance of Thin Sulfide Solid‐State Electrolytes. Batteries & Supercaps. https://doi.org/10.1002/batt.202500192
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Influence of Electrolyte Saturation on the Performance of Li–O2 Batteries

Published in ACS Applied Materials & Interfaces, 2024

A deep dive into electrolyte saturation effects on Li–O2 battery performance.

Recommended citation: Sarabandi, A., Adam, A., & Li, X. (2024). Influence of Electrolyte Saturation on the Performance of Li–O2 Batteries. ACS Applied Materials & Interfaces, 16(45), 62902–62913. https://doi.org/10.1021/acsami.4c12168
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Lightcurve Analysis of Minor Planets Observed at the Oakley Southern Sky Observatory: 2016 October - 2017 March

Published in Minor Planet Bulletin, 2018

Lighcurve photometry analysis on minor planets, observations from October 2016 to March 2017.

Recommended citation: Ditteon, R., “Lightcurve Analysis of Minor Planets Observed at the Oakley Southern Sky Observatory: 2016 October - 2017 March”, Minor Planet Bulletin, vol. 45, no. 1, pp. 13–16, 2018.
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