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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 online resource (156 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
additive manufacturing
analytical model artificial neural networks Code2Vect computational modeling constitutive modeling data driven data mining data-driven data-driven mechanics effective properties elasto-visco-plasticity FE-beam model feature engineering finite element model Gaussian process Gaussian process regression GENERIC hardness high-throughput experimentation hyperelasticity laser shock peening machine learning manifold learning mechanical properties microcompression microstructures model calibration model correction multiscale n/a nanoindentation nanoporous metals neural networks nonlinear nonlinear regression open-pore foams physics based plasticity principal component analysis residual stresses sensitivity analysis soft living tissues spherical indentation statistical analysis stochastics structure-property relationship TDA Ti-Mn alloys topological data analysis |
| 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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The Statistical Foundations of Entropy
| The Statistical Foundations of Entropy |
| Autore | Jizba Petr |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (182 p.) |
| Soggetto topico |
Mathematics & science
Research & information: general |
| Soggetto non controllato |
adaptive Type-II progressive hybrid censoring scheme
Bayesian estimation Bayesian inference calibration invariance confidence interval critical phenomena distributional weighted regression ecological inference entropic uncertainty relations entropy escort probabilities gaussian entropy generalized Bilal distribution generalized cross entropy generalized entropies GENERIC Kolmogorov-Nagumo averages Lagrange multipliers landsberg-vedral entropy Lindley's approximation Markov chain Monte Carlo method matrix adjustment MaxEnt distribution maximum entropy maximum entropy principle maximum likelihood estimation multiscale thermodynamics n/a non-Diophantine arithmetic non-equilibrium thermodynamics non-Newtonian calculus quantum metrology renormalization rényi entropy Rényi entropy sharma-mittal entropy tsallis entropy Tsallis entropy updating probabilities variational entropy α-channel capacity α-mutual information |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566461703321 |
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Jizba Petr
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Thermodynamically consistent space-time discretization of non-isothermal mechanical systems in the framework of GENERIC
| Thermodynamically consistent space-time discretization of non-isothermal mechanical systems in the framework of GENERIC |
| Autore | Georg Schiebl Mark |
| Pubbl/distr/stampa | Karlsruhe, : KIT Scientific Publishing, 2022 |
| Descrizione fisica | 1 online resource (240 p.) |
| Collana | Schriftenreihe des Instituts für Mechanik, Karlsruher Institut für Technologie |
| Soggetto topico | Civil engineering, surveying & building |
| Soggetto non controllato |
Finite Elemente Methode
GENERIC Molekulardynamik Strukturerhaltende Raum-Zeit Integration Thermo-Viskoelastizität |
| ISBN | 1000136011 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910547687903321 |
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Georg Schiebl Mark
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| Karlsruhe, : KIT Scientific Publishing, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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