On Thin-Film Solar Cells

1. Introduction

Rapid urbanisation and industrial expansion have made thin-film solar cells an increasingly important concern for manufacturing processes. Convolutional neural network was applied to a series of test cases representative of manufacturing processes. The optimised parameters raised the useful output by 45% while simultaneously reducing the overall losses. The proposed approach offers a practical tool for practitioners working under resource constraints.

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2. Materials and Methods

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3. Results and Discussion

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4. Conclusion

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