Leveraging machine learning for prediction and optimization of texture properties of sustainable activated carbon derived from waste materials
Abstract The increasing demand for sustainable waste management has driven innovation in the production of activated carbon (AC) from waste. AC’s textural properties, including its surface area (SA), total pore volume (TPV), and micropore volume (MPV), are critical for applications such as gas purif...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-95061-3 |
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