Materials Informatics II: Software Tools and Databases -
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Part 1. Introduction.- Introduction to Machine Learning for Predictive Modeling I.- Introduction to Machine Learning for Materials Property Modeling.- Part 2. Cheminformatic and Machine Learning Models for Nanomaterials.- Machine learning models to study electronic properties of metal nanoclusters.- Applications of Machine Learning Predictive Modeling for Carbon Quantum Dots.- Assessing the toxicity of quan ... Pilns apraksts
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Aprašymas
Vairāk informācijas
| Izdevējs | Springer |
|---|---|
| Series | Challenges and Advances in Computational Chemistry and Physics |
| Izlaides gads | 2026 |
| Vāka tips | Mīkstais vāks |
| EAN | 9783031787300 |