Narrow your search
Listing 1 - 6 of 6
Sort by

Book
Nanoelectronic Materials, Devices and Modeling
Authors: ---
ISBN: 3039212265 3039212257 Year: 2019 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

Loading...
Export citation

Choose an application

Bookmark

Abstract

As CMOS scaling is approaching the fundamental physical limits, a wide range of new nanoelectronic materials and devices have been proposed and explored to extend and/or replace the current electronic devices and circuits so as to maintain progress with respect to speed and integration density. The major limitations, including low carrier mobility, degraded subthreshold slope, and heat dissipation, have become more challenging to address as the size of silicon-based metal oxide semiconductor field effect transistors (MOSFETs) has decreased to nanometers, while device integration density has increased. This book aims to present technical approaches that address the need for new nanoelectronic materials and devices. The focus is on new concepts and knowledge in nanoscience and nanotechnology for applications in logic, memory, sensors, photonics, and renewable energy. This research on nanoelectronic materials and devices will be instructive in finding solutions to address the challenges of current electronics in switching speed, power consumption, and heat dissipation and will be of great interest to academic society and the industry.

Keywords

quantum mechanical --- n/a --- neuromorphic computation --- off-current (Ioff) --- double-gate tunnel field-effect-transistor --- topological insulator --- back current blocking layer (BCBL) --- CMOS power amplifier IC --- information integration --- distributed Bragg --- spike-timing-dependent plasticity --- electron affinity --- enhancement-mode --- current collapse --- gallium nitride (GaN) --- band-to-band tunneling --- vertical field-effect transistor (VFET) --- ionic liquid --- luminescent centres --- thermal coupling --- vision localization --- PC1D --- UAV --- ZnO/Si --- dual-switching transistor --- memristor --- field-effect transistor --- higher order synchronization --- shallow trench isolation (STI) --- memristive device --- on-current (Ion) --- low voltage --- reflection transmision method --- dielectric layer --- source/drain (S/D) --- high efficiency --- nanostructure synthesis --- InAlN/GaN heterostructure --- supercapacitor --- high-electron mobility transistor (HEMTs) --- heterojunction --- p-GaN --- recessed channel array transistor (RCAT) --- gate field effect --- charge injection --- saddle FinFET (S-FinFET) --- L-shaped tunnel field-effect-transistor --- conductivity --- energy storage --- hierarchical --- PECVD --- sample grating --- MISHEMT --- bistability --- threshold voltage (VTH) --- bandgap tuning --- oscillatory neural networks --- UV irradiation --- Mott transition --- third harmonic tuning --- topological magnetoelectric effect --- cross-gain modulation --- 2D material --- solar cells --- silicon on insulator (SOI) --- Green’s function --- optoelectronic devices --- semiconductor optical amplifier --- ZnO films --- graphene --- AlGaN/GaN --- polarization effect --- two-photon process --- conductive atomic force microscopy (cAFM) --- 2DEG density --- vanadium dioxide --- interface traps --- potential drop width (PDW) --- pattern recognition --- drain-induced barrier lowering (DIBL) --- atomic layer deposition (ALD) --- normally off power devices --- gate-induced drain leakage (GIDL) --- insulator–metal transition (IMT) --- zinc oxide --- synaptic device --- subthreshold slope (SS) --- landing --- silicon --- corner-effect --- conditioned reflex --- quantum dot --- gallium nitride --- bismuth ions --- conduction band offset --- variational form --- Green's function --- insulator-metal transition (IMT)


Book
High-Throughput Screening Assays in Toxicology
Authors: ---
ISBN: 1493963465 1493963449 Year: 2016 Publisher: New York, NY : Springer New York : Imprint: Humana,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This book focuses on recently developed High Throughput Screening (HTS) assay protocols, many involved in the ToxCast and/or Tox21 initiatives, and the relevant HTS data analysis techniques. Divided into three sections, in vitro assays, in vivo assays, and computational techniques to analyze HTS data are all examined. Written for the highly successful Methods in Molecular Biology series, most chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, High Throughput Screening Assays in Toxicology serves as a valuable reference resource for translating new HTS techniques into standardized chemical toxicity assessment tools in order to advance modern toxicology research to a new era where HTS techniques can partially replace the prevailing animal models.


Book
High-Throughput Screening Assays in Toxicology
Authors: ---
ISBN: 1071622137 1071622129 Year: 2022 Publisher: New York, NY : Springer US : Imprint: Humana,

Loading...
Export citation

Choose an application

Bookmark

Abstract

This second edition volume expands on the previous edition by exploring the latest advancements in high throughput screening (HTS) in toxicity studies by using in vitro, ex vivo, and in vivo models. This volume also covers the application of artificial intelligence (AI) and data science to curate, manage, and use HTS data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, High Throughput Screening Assays in Modern Toxicology, Second Edition is a valuable resource for scientists pursuing chemical toxicology research. This book will aid scientists and researchers in translating new HTS techniques into standardized chemical toxicology assessment tools that can refine, reduce, and replace animal testing. .


Multi
High-Throughput Screening Assays in Toxicology
Authors: ---
ISBN: 9781071622131 9781071622124 9781071622148 9781071622155 Year: 2022 Publisher: New York, NY Springer, Imprint: Humana

Loading...
Export citation

Choose an application

Bookmark

Abstract

Keywords

Human medicine


Multi
High-Throughput Screening Assays in Toxicology
Authors: ---
ISBN: 9781493963461 9781493963447 9781493963454 9781493981717 Year: 2016 Publisher: New York, NY Springer, Imprint: Humana

Loading...
Export citation

Choose an application

Bookmark

Abstract

Keywords

Human medicine


Dissertation
Testing in Logistic Regression for Modern Data Structures

Loading...
Export citation

Choose an application

Bookmark

Abstract

Logistic regression is the most widely applied statistical model for fitting a binary response from a list of covariates and is used in a great number of disciplines. In the classical setting with a fixed number of predictive variables p and a large sample size n, and p is negligible to n, the likelihood ratio test statistic is shown to follow a chi-squared distribution. Modern data often have structures which p and n grow accordingly with certain rates. In a high-dimensional logistic regression model where p is comparable to n, Sur and Candès (2019) and Zhao et al. (2020) showed that the chi-squared approximation is inaccurate and the estimator of the regression coefficients was shown to exist only when the limiting ratio kappa = p/n is less than a half. The asymptotic distribution of the likelihood ratio test statistic incorporates an additional scaling factor to the chi-squared distribution due to high dimensionality. In our thesis, we carry out several well-motivated simulation scenarios to verify and extend the findings and results obtained by Sur and Candès (2019) and Zhao et al. (2020), including but not limited to (1) Maximum likelihood estimators (MLE) are biased, while adjusted MLE are not. (2) The variability of adjusted MLE is larger than classical one. (3) The average behavior of the scaling factor of adjusted MLE as the size of p increasing. In addition to likelihood ratio (LR) test, Wald test and score test are also two very important tests. In this thesis, we confirmed through simulation that the other two tests could be modified by adding the same scaling factor and almost the same results could be obtained.Additionally, the results obtained from simulations were applied to real high-dimensional data sets in our thesis, which fully confirmed the practical behavior and applicability of the adjusted MLE under modern data and improved the accuracy of the classic MLE. It is of great help for the future processing of modern high-dimensional data sets and the prediction of logistic regression.

Keywords

Listing 1 - 6 of 6
Sort by