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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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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 electronic resource (182 p.) |
| Soggetto topico |
Research & information: general
Mathematics & science |
| Soggetto non controllato |
ecological inference
generalized cross entropy distributional weighted regression matrix adjustment entropy critical phenomena renormalization multiscale thermodynamics GENERIC non-Newtonian calculus non-Diophantine arithmetic Kolmogorov-Nagumo averages escort probabilities generalized entropies maximum entropy principle MaxEnt distribution calibration invariance Lagrange multipliers generalized Bilal distribution adaptive Type-II progressive hybrid censoring scheme maximum likelihood estimation Bayesian estimation Lindley's approximation confidence interval Markov chain Monte Carlo method Rényi entropy Tsallis entropy entropic uncertainty relations quantum metrology non-equilibrium thermodynamics variational entropy rényi entropy tsallis entropy landsberg-vedral entropy gaussian entropy sharma-mittal entropy α-mutual information α-channel capacity maximum entropy Bayesian inference updating probabilities |
| 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 electronic 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
Thermo-Viskoelastizität Molekulardynamik GENERIC Strukturerhaltende Raum-Zeit Integration |
| 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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