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The digital factory for knowledge : production and validation of scientific results / / edited by Renaud Fabre, Alain Bensoussan ; in collaboration with Lucile Collin, Marie Blanquart, Louki-Geronimo Richou
| The digital factory for knowledge : production and validation of scientific results / / edited by Renaud Fabre, Alain Bensoussan ; in collaboration with Lucile Collin, Marie Blanquart, Louki-Geronimo Richou |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : iSTE : , : Wiley, , 2018 |
| Descrizione fisica | 1 online resource (189 pages) |
| Disciplina | 658.4038 |
| Soggetto topico |
Knowledge management
Knowledge acquisition (Expert systems) Data mining |
| ISBN |
1-119-51657-9
1-119-51656-0 1-119-45270-8 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910271019203321 |
| London, England ; ; Hoboken, New Jersey : , : iSTE : , : Wiley, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
La Fabrique Numérique des Connaissances / / Renaud Fabre, Alain Bensoussan, and Marie Blanquart
| La Fabrique Numérique des Connaissances / / Renaud Fabre, Alain Bensoussan, and Marie Blanquart |
| Autore | Fabre Renaud |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | London, England : , : ISTE Editions Ltd, , [2017] |
| Descrizione fisica | 1 online resource (207 pages) |
| Disciplina | 658.4038 |
| Soggetto topico | Knowledge management |
| ISBN | 1-78406-331-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Nota di contenuto | Intro -- Table des matières -- Avant-propos -- PARTIE 1. Les ressources de la scienceet de l'économie des données -- Chapitre 1. Production et partage des données :vers un droit universel ? -- Chapitre 3. Les nouveaux outils de la connaissance -- PARTIE 2. L'usine de la connaissance -- Chapitre 4. Modèles économiquesdu partage des connaissances -- Chapitre 5. De l'auteur au valorisateur -- Chapitre 6. La valorisation :un enjeu géopolitique mondial -- Chapitre 7. Focus : la stratégie chinoiseen matière de brevets -- Chapitre 8. Politiques de l'intelligence artificielle -- Chapitre 9. Les nouvelles formulationsdes résultats et les nouveaux « marchés » -- Chapitre 10. L'Open Science :un bien commun à valoriser ? -- Conclusion -- Annexe 1 -- Annexe 2 -- Bibliographie -- Liste des auteurs -- Index. |
| Record Nr. | UNINA-9910796939803321 |
Fabre Renaud
|
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| London, England : , : ISTE Editions Ltd, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
La Fabrique Numérique des Connaissances / / Renaud Fabre, Alain Bensoussan, and Marie Blanquart
| La Fabrique Numérique des Connaissances / / Renaud Fabre, Alain Bensoussan, and Marie Blanquart |
| Autore | Fabre Renaud |
| Edizione | [First edition.] |
| Pubbl/distr/stampa | London, England : , : ISTE Editions Ltd, , [2017] |
| Descrizione fisica | 1 online resource (207 pages) |
| Disciplina | 658.4038 |
| Soggetto topico | Knowledge management |
| ISBN | 1-78406-331-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | fre |
| Nota di contenuto | Intro -- Table des matières -- Avant-propos -- PARTIE 1. Les ressources de la scienceet de l'économie des données -- Chapitre 1. Production et partage des données :vers un droit universel ? -- Chapitre 3. Les nouveaux outils de la connaissance -- PARTIE 2. L'usine de la connaissance -- Chapitre 4. Modèles économiquesdu partage des connaissances -- Chapitre 5. De l'auteur au valorisateur -- Chapitre 6. La valorisation :un enjeu géopolitique mondial -- Chapitre 7. Focus : la stratégie chinoiseen matière de brevets -- Chapitre 8. Politiques de l'intelligence artificielle -- Chapitre 9. Les nouvelles formulationsdes résultats et les nouveaux « marchés » -- Chapitre 10. L'Open Science :un bien commun à valoriser ? -- Conclusion -- Annexe 1 -- Annexe 2 -- Bibliographie -- Liste des auteurs -- Index. |
| Record Nr. | UNINA-9910815923103321 |
|
Fabre Renaud
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||
| London, England : , : ISTE Editions Ltd, , [2017] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Future Perspectives in Risk Models and Finance [[electronic resource] /] / edited by Alain Bensoussan, Dominique Guegan, Charles S. Tapiero
| Future Perspectives in Risk Models and Finance [[electronic resource] /] / edited by Alain Bensoussan, Dominique Guegan, Charles S. Tapiero |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (325 p.) |
| Disciplina | 658.155 |
| Collana | International Series in Operations Research & Management Science |
| Soggetto topico |
Operations research
Decision making Economics, Mathematical Macroeconomics Operations Research/Decision Theory Quantitative Finance Macroeconomics/Monetary Economics//Financial Economics |
| ISBN | 3-319-07524-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Estimation Theory for Generalized Linear Models -- New Distorsion Risk Measure Based on Bimodal Distributions -- Stress Testing Engineering: Risk Vs Incident -- The Skin In The Game Heuristic for Protection Against Tail Events -- The Fragility Theorem -- Financial Modeling, Memory and Mathematical Systems -- Asset price modeling: from Fractional to Multifractional Processes -- Financial Analytics and A Binomial Pricing Model. |
| Record Nr. | UNINA-9910298502503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Future Tendencies in Computer Science, Control and Applied Mathematics [[electronic resource] ] : International Conference on the Occasion of the 25th Anniversary of INRIA, Paris, France, December 8-11, 1992. Proceedings / / edited by Alain Bensoussan, Jean-Pierre Verjus
| Future Tendencies in Computer Science, Control and Applied Mathematics [[electronic resource] ] : International Conference on the Occasion of the 25th Anniversary of INRIA, Paris, France, December 8-11, 1992. Proceedings / / edited by Alain Bensoussan, Jean-Pierre Verjus |
| Edizione | [1st ed. 1992.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1992 |
| Descrizione fisica | 1 online resource (XVIII, 378 p.) |
| Disciplina | 004 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computers
Computer organization Software engineering Artificial intelligence Computer-aided engineering Theory of Computation Computer Systems Organization and Communication Networks Software Engineering/Programming and Operating Systems Information Systems and Communication Service Artificial Intelligence Computer-Aided Engineering (CAD, CAE) and Design |
| ISBN | 3-540-47520-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | World mathematical year 2.000 and computer sciences -- Dependable parallel computing by randomization (Abstract) -- System dependability -- Technology, networks, and the library of the year 2000 -- Mosaic C: An experimental fine-grain multicomputer -- New frontiers in database system research -- Formal theories and software systems: Fundamental connections between Computer Science and Logic -- Time for concurrency -- Horizons of parallel computation -- Control software for virtual-circuit switches: Call processing -- What is knowledge representation, and where is it going? -- Creating a design science of Human-Computer Interaction -- Sensing robots -- Fundamentals of bicentric perspective -- Digital HDTV: A technical challenge -- Autonomous control -- Analog and digital computing -- Stochastic control and large deviations -- Differential-Geometric methods: A powerful set of new tools for optimal control -- Coordinating vehicles in an automated highway -- Opportunities and challenges in signal processing and analysis -- Neural computing and stochastic optimization -- Stabilization of Galerkin methods and applications to domain decomposition -- An efficient implementation of the spectral partitioning algorithm on connection machine systems. |
| Record Nr. | UNISA-996466087503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1992 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Reliability Prediction for Microelectronics
| Reliability Prediction for Microelectronics |
| Autore | Bernstein Joseph B |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (401 pages) |
| Altri autori (Persone) |
BensoussanAlain
BenderEmmanuel |
| Collana | Quality and Reliability Engineering Series |
| ISBN |
1-394-21096-5
1-394-21094-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Dedication Page -- Contents -- Author Biography -- Series Foreword -- Preface -- Scope -- Introduction -- Chapter 1 Conventional Electronic System Reliability Prediction -- 1.1 Electronic Reliability Prediction Methods -- 1.2 Electronic Reliability in Manufacturing, Production, and Operations -- 1.2.1 Failure Foundation -- 1.2.2 Reliability Foundational Models (Markovian, Gamma, Lévy, Wiener Processes) -- 1.2.3 Correlation Versus Causation and Representativeness of Trackers -- 1.2.4 Functional Safety Standard ISO 26262 -- 1.2.5 Additional Considerations -- 1.3 Reliability Criteria -- 1.3.1 The Failure Rate Curve for Electronic Systems -- 1.3.2 Basic Lifetime Distribution Models -- 1.4 Reliability Testing -- 1.4.1 Reliability Test Methods -- 1.4.2 Accelerated Testing -- Chapter 2 The Fundamentals of Failure -- 2.1 The Random Walk -- 2.1.1 Approximate Solution -- 2.1.2 Constant Velocity -- 2.2 Diffusion -- 2.2.1 Particle Diffusion -- 2.3 Solutions for the Diffusion Equation -- 2.3.1 Normal Distribution -- 2.3.2 Error Function Solution -- 2.3.3 Finite Thickness -- 2.3.4 Thermal Diffusion -- 2.4 Drift -- 2.5 Statistical Mechanics -- 2.5.1 Energy -- 2.6 Chemical Potential -- 2.6.1 Thermodynamics -- 2.7 Thermal Activation Energy -- 2.7.1 Arrhenius Relation -- 2.7.2 Einstein Relation -- 2.7.3 Magnitude of Energy -- 2.8 Oxidation and Corrosion -- 2.8.1 Reaction Rate -- 2.8.2 Limiting Time Scales -- 2.8.3 Material Properties -- 2.9 Vibration -- 2.9.1 Oscillations -- 2.9.2 Multiple Resonances -- 2.9.3 Random Vibration -- 2.10 Summary -- Chapter 3 Physics-of-Failure-based Circuit Reliability -- 3.1 Problematic Areas -- 3.1.1 Single-Failure Mechanism Versus Competing-Failure Mechanism -- 3.1.2 Acceleration Factor -- 3.1.3 An Alternative Acceleration Factor Calculation - Matrix Method.
3.1.4 Single-Failure Mechanism Assumption: Conventional Approach -- 3.1.5 Failure Rate Calculations Assuming Multiple-Failure Mechanism -- 3.1.6 Constant-Failure-Rate Approximation/Justification -- 3.1.7 Exponential Distribution and Its Characterization -- 3.2 Reliability of Complex Systems -- 3.2.1 Drenick's Theorem -- 3.3 Physics-of-Failure-based Circuit Reliability Prediction Methodology -- 3.3.1 Methodology -- 3.3.2 Assembly, Materials and Processes, and Packaging -- 3.3.3 External Environment -- 3.3.4 PoF and Failure Mechanisms -- 3.3.5 Key Considerations for Reliability Models in Emerging Technologies -- 3.3.6 Input Data -- 3.3.7 Applicability of Reliability Models -- Chapter 4 Transition State Theory -- 4.1 Stress-Related Failure Mechanisms -- 4.2 Non-Arrhenius Model Parameters -- 4.2.1 Hot Carrier Injection (HCI) -- 4.2.2 Negative Apparent EA -- 4.2.3 Time-Dependent Dielectric Breakdown (TDDB) -- 4.2.3.1 Thermochemical E-Model -- 4.2.3.2 1/E Model (Anode-Hole Injection Model) -- 4.2.3.3 Power-Law Voltage VN-Model -- 4.2.3.4 Exponential E1/2-Model -- 4.2.3.5 Percolation Model -- 4.2.4 Stress-Induced Leakage Current (SILC) -- 4.2.5 Negative Bias Temperature Instability (NBTI) -- 4.2.5.1 Time Dependence -- 4.2.5.2 1/n-Root Measurements -- 4.2.5.3 Voltage Power Law -- 4.2.6 Electromigration (EM) -- 4.3 Physics of Healthy -- 4.3.1 Definitions -- 4.3.2 Entropy and Generalization -- Chapter 5 Multiple Failure Mechanism in Reliability Prediction -- 5.1 MTOL Testing System -- 5.1.1 Accelerated Element, Control System, and Counter -- 5.1.2 Separating Failure Mechanisms -- 5.1.3 EA and ã Extrapolation -- 5.2 MTOL Matrix: A Use Case Application -- 5.2.1 Effective Activation Energy Characteristics (Eyring-M-STORM Model) -- 5.3 Comparison of DSM Technologies (45, 28, and 20 nm) -- 5.3.1 BTI's High Voltage Constant. 5.4 16 nm FinFET Reliability Profile Using the MTOL Method -- 5.4.1 Thermal Dissipation Concerns of 16 nm Technologies -- 5.5 16 nm Microchip Health Monitoring (MHM) from MTOL Reliability -- 5.5.1 Weibull Distribution Tapering by Increasing Devices -- 5.5.2 The FLL Measurement Circuit -- 5.5.3 Degradation Data Correction with Temperature Compensation -- 5.5.4 Accurate Lifetime Calculations Using Early Failure -- 5.5.5 Algorithm to Calculate the TTF of Early Failures -- 5.5.6 The Microchip Health Monitor -- Chapter 6 System Reliability -- 6.1 Definitions -- 6.2 Series Systems -- 6.2.1 Parallel Systems -- 6.2.2 Poisson Distribution Function -- 6.2.3 Weibull Distribution Function -- 6.2.4 Complex Systems -- 6.3 Weibull Analysis of Data -- 6.4 Weibull Analysis to Correlate Process Variations and BTI Degradation -- Chapter 7 Device Failure Mechanism -- 7.1 Time-Dependent Dielectric Breakdown -- 7.1.1 Physics of Breakdown -- 7.1.2 Early Models for Dielectric Breakdown -- 7.1.3 Acceleration Factors -- 7.1.4 Models for Ultra-Thin Dielectric Breakdown -- 7.1.5 Statistical Model -- 7.2 Hot Carrier Injection -- 7.2.1 Hot Carrier Effects -- 7.2.2 Hot Carrier Generation Mechanism and Injection to the Gate Oxide Film -- 7.2.3 Hot Carrier Models -- 7.2.4 Hot Carrier Degradation -- 7.2.5 Hot Carrier Resistant Structures -- 7.2.6 Acceleration Factor -- 7.2.6.1 Statistical Models for HCI Lifetime -- 7.2.6.2 Lifetime Sensitivity -- 7.3 Negative Bias Temperature Instability -- 7.3.1 Physics of Failure -- 7.3.2 Interface Trap Generation: Reaction-Diffusion Model -- 7.3.3 Fixed Charge Generation -- 7.3.4 Recovery and Saturation -- 7.3.5 NBTI Models -- 7.3.6 Lifetime Models -- 7.4 Electromigration -- 7.4.1 Electromigration Physics -- 7.4.2 Lifetime Prediction -- 7.4.3 Lifetime Distribution Model -- 7.4.4 Lifetime Sensitivity -- 7.5 Soft Errors due to Memory Alpha Particles. Chapter 8 Reliability Modeling of Electronic Packages -- 8.1 Failure Mechanisms of Electronic Packages -- 8.2 Failure Mechanisms' Description and Models -- 8.2.1 Wire Bond Failures (Wire Lifting, Broken Wires, Bond Fracture,etc.) -- 8.2.2 BGA and Package-on-Package Failures -- 8.2.3 Die Cracking Failures -- 8.2.3.1 Die Cracking Failure Mechanisms -- 8.2.4 Interface Delamination -- 8.2.5 Package Cracking Failure -- 8.2.6 Solder Joint Fatigue Failure -- 8.3 Failure Models -- 8.3.1 IMC Diffusion Models -- 8.3.2 Fracture Models Due to Cyclic Loads -- 8.3.3 Die Cracking Failure Models -- 8.3.4 Solder Joint Fatigue Failure Models -- 8.4 Electromigration -- 8.4.1 Electromigration Failure Description -- 8.4.2 Electromigration Failure Models -- 8.5 Corrosion Failure -- 8.5.1 Corrosion Failure Models -- 8.6 Failure Rate and Acceleration Factors -- 8.6.1 Creep -- 8.7 Reliability Prediction of Electronic Packages -- 8.7.1 Reliability and Failure Description -- 8.8 Reliability Failure Models -- 8.8.1 Inverse Power Law Models -- 8.8.2 Arrhenius Models -- 8.8.3 Arrhenius-Weibull Models -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910835068303321 |
| Bernstein Joseph B | ||
| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Reliability Prediction for Microelectronics
| Reliability Prediction for Microelectronics |
| Autore | Bernstein Joseph B |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2024 |
| Descrizione fisica | 1 online resource (401 pages) |
| Altri autori (Persone) |
BensoussanAlain
BenderEmmanuel |
| Collana | Quality and Reliability Engineering Series |
| ISBN |
1-394-21096-5
1-394-21094-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Title Page -- Copyright Page -- Dedication Page -- Contents -- Author Biography -- Series Foreword -- Preface -- Scope -- Introduction -- Chapter 1 Conventional Electronic System Reliability Prediction -- 1.1 Electronic Reliability Prediction Methods -- 1.2 Electronic Reliability in Manufacturing, Production, and Operations -- 1.2.1 Failure Foundation -- 1.2.2 Reliability Foundational Models (Markovian, Gamma, Lévy, Wiener Processes) -- 1.2.3 Correlation Versus Causation and Representativeness of Trackers -- 1.2.4 Functional Safety Standard ISO 26262 -- 1.2.5 Additional Considerations -- 1.3 Reliability Criteria -- 1.3.1 The Failure Rate Curve for Electronic Systems -- 1.3.2 Basic Lifetime Distribution Models -- 1.4 Reliability Testing -- 1.4.1 Reliability Test Methods -- 1.4.2 Accelerated Testing -- Chapter 2 The Fundamentals of Failure -- 2.1 The Random Walk -- 2.1.1 Approximate Solution -- 2.1.2 Constant Velocity -- 2.2 Diffusion -- 2.2.1 Particle Diffusion -- 2.3 Solutions for the Diffusion Equation -- 2.3.1 Normal Distribution -- 2.3.2 Error Function Solution -- 2.3.3 Finite Thickness -- 2.3.4 Thermal Diffusion -- 2.4 Drift -- 2.5 Statistical Mechanics -- 2.5.1 Energy -- 2.6 Chemical Potential -- 2.6.1 Thermodynamics -- 2.7 Thermal Activation Energy -- 2.7.1 Arrhenius Relation -- 2.7.2 Einstein Relation -- 2.7.3 Magnitude of Energy -- 2.8 Oxidation and Corrosion -- 2.8.1 Reaction Rate -- 2.8.2 Limiting Time Scales -- 2.8.3 Material Properties -- 2.9 Vibration -- 2.9.1 Oscillations -- 2.9.2 Multiple Resonances -- 2.9.3 Random Vibration -- 2.10 Summary -- Chapter 3 Physics-of-Failure-based Circuit Reliability -- 3.1 Problematic Areas -- 3.1.1 Single-Failure Mechanism Versus Competing-Failure Mechanism -- 3.1.2 Acceleration Factor -- 3.1.3 An Alternative Acceleration Factor Calculation - Matrix Method.
3.1.4 Single-Failure Mechanism Assumption: Conventional Approach -- 3.1.5 Failure Rate Calculations Assuming Multiple-Failure Mechanism -- 3.1.6 Constant-Failure-Rate Approximation/Justification -- 3.1.7 Exponential Distribution and Its Characterization -- 3.2 Reliability of Complex Systems -- 3.2.1 Drenick's Theorem -- 3.3 Physics-of-Failure-based Circuit Reliability Prediction Methodology -- 3.3.1 Methodology -- 3.3.2 Assembly, Materials and Processes, and Packaging -- 3.3.3 External Environment -- 3.3.4 PoF and Failure Mechanisms -- 3.3.5 Key Considerations for Reliability Models in Emerging Technologies -- 3.3.6 Input Data -- 3.3.7 Applicability of Reliability Models -- Chapter 4 Transition State Theory -- 4.1 Stress-Related Failure Mechanisms -- 4.2 Non-Arrhenius Model Parameters -- 4.2.1 Hot Carrier Injection (HCI) -- 4.2.2 Negative Apparent EA -- 4.2.3 Time-Dependent Dielectric Breakdown (TDDB) -- 4.2.3.1 Thermochemical E-Model -- 4.2.3.2 1/E Model (Anode-Hole Injection Model) -- 4.2.3.3 Power-Law Voltage VN-Model -- 4.2.3.4 Exponential E1/2-Model -- 4.2.3.5 Percolation Model -- 4.2.4 Stress-Induced Leakage Current (SILC) -- 4.2.5 Negative Bias Temperature Instability (NBTI) -- 4.2.5.1 Time Dependence -- 4.2.5.2 1/n-Root Measurements -- 4.2.5.3 Voltage Power Law -- 4.2.6 Electromigration (EM) -- 4.3 Physics of Healthy -- 4.3.1 Definitions -- 4.3.2 Entropy and Generalization -- Chapter 5 Multiple Failure Mechanism in Reliability Prediction -- 5.1 MTOL Testing System -- 5.1.1 Accelerated Element, Control System, and Counter -- 5.1.2 Separating Failure Mechanisms -- 5.1.3 EA and ã Extrapolation -- 5.2 MTOL Matrix: A Use Case Application -- 5.2.1 Effective Activation Energy Characteristics (Eyring-M-STORM Model) -- 5.3 Comparison of DSM Technologies (45, 28, and 20 nm) -- 5.3.1 BTI's High Voltage Constant. 5.4 16 nm FinFET Reliability Profile Using the MTOL Method -- 5.4.1 Thermal Dissipation Concerns of 16 nm Technologies -- 5.5 16 nm Microchip Health Monitoring (MHM) from MTOL Reliability -- 5.5.1 Weibull Distribution Tapering by Increasing Devices -- 5.5.2 The FLL Measurement Circuit -- 5.5.3 Degradation Data Correction with Temperature Compensation -- 5.5.4 Accurate Lifetime Calculations Using Early Failure -- 5.5.5 Algorithm to Calculate the TTF of Early Failures -- 5.5.6 The Microchip Health Monitor -- Chapter 6 System Reliability -- 6.1 Definitions -- 6.2 Series Systems -- 6.2.1 Parallel Systems -- 6.2.2 Poisson Distribution Function -- 6.2.3 Weibull Distribution Function -- 6.2.4 Complex Systems -- 6.3 Weibull Analysis of Data -- 6.4 Weibull Analysis to Correlate Process Variations and BTI Degradation -- Chapter 7 Device Failure Mechanism -- 7.1 Time-Dependent Dielectric Breakdown -- 7.1.1 Physics of Breakdown -- 7.1.2 Early Models for Dielectric Breakdown -- 7.1.3 Acceleration Factors -- 7.1.4 Models for Ultra-Thin Dielectric Breakdown -- 7.1.5 Statistical Model -- 7.2 Hot Carrier Injection -- 7.2.1 Hot Carrier Effects -- 7.2.2 Hot Carrier Generation Mechanism and Injection to the Gate Oxide Film -- 7.2.3 Hot Carrier Models -- 7.2.4 Hot Carrier Degradation -- 7.2.5 Hot Carrier Resistant Structures -- 7.2.6 Acceleration Factor -- 7.2.6.1 Statistical Models for HCI Lifetime -- 7.2.6.2 Lifetime Sensitivity -- 7.3 Negative Bias Temperature Instability -- 7.3.1 Physics of Failure -- 7.3.2 Interface Trap Generation: Reaction-Diffusion Model -- 7.3.3 Fixed Charge Generation -- 7.3.4 Recovery and Saturation -- 7.3.5 NBTI Models -- 7.3.6 Lifetime Models -- 7.4 Electromigration -- 7.4.1 Electromigration Physics -- 7.4.2 Lifetime Prediction -- 7.4.3 Lifetime Distribution Model -- 7.4.4 Lifetime Sensitivity -- 7.5 Soft Errors due to Memory Alpha Particles. Chapter 8 Reliability Modeling of Electronic Packages -- 8.1 Failure Mechanisms of Electronic Packages -- 8.2 Failure Mechanisms' Description and Models -- 8.2.1 Wire Bond Failures (Wire Lifting, Broken Wires, Bond Fracture,etc.) -- 8.2.2 BGA and Package-on-Package Failures -- 8.2.3 Die Cracking Failures -- 8.2.3.1 Die Cracking Failure Mechanisms -- 8.2.4 Interface Delamination -- 8.2.5 Package Cracking Failure -- 8.2.6 Solder Joint Fatigue Failure -- 8.3 Failure Models -- 8.3.1 IMC Diffusion Models -- 8.3.2 Fracture Models Due to Cyclic Loads -- 8.3.3 Die Cracking Failure Models -- 8.3.4 Solder Joint Fatigue Failure Models -- 8.4 Electromigration -- 8.4.1 Electromigration Failure Description -- 8.4.2 Electromigration Failure Models -- 8.5 Corrosion Failure -- 8.5.1 Corrosion Failure Models -- 8.6 Failure Rate and Acceleration Factors -- 8.6.1 Creep -- 8.7 Reliability Prediction of Electronic Packages -- 8.7.1 Reliability and Failure Description -- 8.8 Reliability Failure Models -- 8.8.1 Inverse Power Law Models -- 8.8.2 Arrhenius Models -- 8.8.3 Arrhenius-Weibull Models -- References -- Index -- EULA. |
| Record Nr. | UNINA-9910841712403321 |
|
Bernstein Joseph B
|
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| Newark : , : John Wiley & Sons, Incorporated, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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