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Empowering Materials Processing and Performance from Data and AI
| Empowering Materials Processing and Performance from Data and AI |
| Autore | Chinesta Francisco |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (156 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
plasticity
machine learning constitutive modeling manifold learning topological data analysis GENERIC soft living tissues hyperelasticity computational modeling data-driven mechanics TDA Code2Vect nonlinear regression effective properties microstructures model calibration sensitivity analysis elasto-visco-plasticity Gaussian process high-throughput experimentation additive manufacturing Ti-Mn alloys spherical indentation statistical analysis Gaussian process regression nanoporous metals open-pore foams FE-beam model data mining mechanical properties hardness principal component analysis structure-property relationship microcompression nanoindentation analytical model finite element model artificial neural networks model correction feature engineering physics based data driven laser shock peening residual stresses data-driven multiscale nonlinear stochastics neural networks |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557717703321 |
Chinesta Francisco
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Machine learning and data mining in materials science / / edited by Norbert Huber, Surya R. Kalidindi, Benjamin Klusemann and Christian Johannes Cyro
| Machine learning and data mining in materials science / / edited by Norbert Huber, Surya R. Kalidindi, Benjamin Klusemann and Christian Johannes Cyro |
| Pubbl/distr/stampa | Lausanne : , : Frontiers Media SA, , 2020 |
| Descrizione fisica | 1 online resource : illustrations |
| Soggetto topico |
Machine learning - Industrial applications
Data mining Materials science - Data processing |
| ISBN |
9782889636518
2889636518 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557221003321 |
| Lausanne : , : Frontiers Media SA, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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