1.

Record Nr.

UNINA9910299747703321

Titolo

Bias temperature instability for devices and circuits / / Tibor Grasser, editor

Pubbl/distr/stampa

New York : , : Springer, , 2014

ISBN

1-4614-7909-6

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (xi, 810 pages) : illustrations (some color)

Collana

Gale eBooks

Disciplina

621.3192

Soggetti

Metal oxide semiconductor field-effect transistors

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Characterization, Experimental Challenges -- Advanced Characterization -- Characterization of Nanoscale Devices -- Statistical Properties/Variability -- Theoretical Understanding -- Possible Defects: Experimental -- Possible Defects: First Principles -- Modeling -- Technological Impact -- Silicon dioxides/SiON -- High-k oxides -- Alternative technologies -- Circuits.

Sommario/riassunto

This book provides a single-source reference to one of the more challenging reliability issues plaguing modern semiconductor technologies, negative bias temperature instability.  Readers will benefit from state-of-the art coverage of research in topics such as time dependent defect spectroscopy, anomalous defect behavior, stochastic modeling with additional metastable states, multiphonon theory, compact modeling with RC ladders and implications on device reliability and lifetime.  ·         Enables readers to understand and model negative bias temperature instability, with an emphasis on dynamics; ·         Includes coverage of DC vs. AC stress, duty factor dependence and bias dependence; ·         Explains time dependent defect spectroscopy, as a measurement method that operates on nanoscale MOSFETs; ·         Introduces new defect model for metastable defect states, nonradiative multiphonon theory and stochastic behavior.



2.

Record Nr.

UNISA996647867703316

Autore

Comuzzi Marco

Titolo

Cooperative Information Systems : 30th International Conference, CoopIS 2024, Porto, Portugal, November 19–21, 2024, Proceedings / / edited by Marco Comuzzi, Daniela Grigori, Mohamed Sellami, Zhangbing Zhou

Pubbl/distr/stampa

Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025

ISBN

9783031813757

3031813758

Edizione

[1st ed. 2025.]

Descrizione fisica

1 online resource (652 pages)

Collana

Lecture Notes in Computer Science, , 1611-3349 ; ; 15506

Altri autori (Persone)

GrigoriDaniela

SellamiMohamed

ZhouZhangbing

Disciplina

004.36

Soggetti

Application software

Data structures (Computer science)

Information theory

Software engineering

Computers

Artificial intelligence

Computer and Information Systems Applications

Data Structures and Information Theory

Software Engineering

Computing Milieux

Artificial Intelligence

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

-- Invited Speakers.  -- Business Models, Business Processes and Information Systems: A Dynamic Network View.  -- Machine Learning and Generative AI in BPM: Recent Developments and Emerging Challenges.  -- Processes and Human-in-the-loop.  -- Using Eye-Tracking to Detect Search and Inference During Process Model Comprehension.  -- Conversationally Actionable Process Model Creation.  -- Event Log Extraction for Process Mining Using Large



Language Models.  -- Process Analytics and Technology.  -- All Optimal k-Bounded Alignments Using the FM-Index.  -- Unsupervised Anomaly Detection of Prefixes in Event Streams Using Online Autoencoders.  -- Autoencoder-Based Detection of Delays, Handovers and Workloads over High-Level Events.  -- Process Improvement.  -- SwiftMend: An Approach to Detect and Repair Activity Label Quality Issues in Process Event Streams.  -- Towards Fairness-Aware Predictive Process Monitoring: Evaluating Bias Mitigation Techniques.  -- Knowledge Graphs and Knowledge Engineering.  -- A User-Driven Hybrid Neuro-Symbolic Approach for Knowledge Graph Creation from Relational Data.  -- Assisted Data Annotation for Business Process Information Extraction from Textual Documents.  -- FleX: Interpreting Graph Neural Networks with Subgraph Extraction and Flexible Objective Estimation.  -- Predictive Process Monitoring.  -- Handling Catastrophic Forgetting: Online Continual Learning for next Activity Prediction.  -- A Decomposed Hybrid Approach to Business Process Modeling with LLMs.  -- Services and Cloud.  -- Self-Organising Approach to Anomaly Mitigation in the Cloud-to-Edge Continuum.  -- TALOS: Task Level Autoscaler for Apache Flink.  -- Automating Pathway Extraction from Clinical Guidelines: A Conceptual Model, Datasets and Initial Experiments.  -- Short Papers.  -- IML4DQ: Interactive Machine Learning for Data Quality with Applications in Credit Risk.  -- Optimizing B-trees for Memory-Constrained Flash Embedded Devices.  -- Predictive Process Approach for Email Response Recommendations.  -- Achieving Fairness in Predictive Process Analytics via Adversarial Learning.  -- Enhancing Temporal Knowledge Graph Reasoning with Contrastive Learning and Self-Attention Mechanisms.  -- Graph Convolution Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs.  -- Collaboration Miner: Discovering Collaboration Petri Nets.  -- Discovering Order-Inducing Features in Event Knowledge Graphs.  -- LabelIT: A Multi-Cloud Resource Label Unification Tool.  -- Nala2BPMN: Automating BPMN Model Generation with Large Language Models.  -- TeaPie: A Tool for Efficient Annotation of Process Information Extraction Data.

Sommario/riassunto

This book constitutes the refereed proceedings of the 30th International Conference on Cooperative Information Systems, CoopIS 2024, held in Porto, Portugal, during November 19-21, 2024. The 16 full papers, 11 short papers and 2 invited papers were carefully reviewed and selected from 78 submissions. They were organized in topical sections as follows: processes and human-in-the-loop; process analytics and technology; process improvement; knowledge graphs and knowledge engineering; predictive process monitoring; services and cloud; and short papers. .