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Semiconductor Manufacturing
We’ve followed the journey of a new chip from high-level system architecture through a mosaic of concurrent design steps and subprocesses and are...
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Metal-Oxide Semiconductor Field-Effect Transistor (MOSFET)
BJTs were studied in the previous chapter. Metal-oxide semiconductor field-effect transistor (MOSFET) (Figures 8-1 and 8-2) is another important type...
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The Semiconductor Industry – Past, Present, and Future
Having spent eight chapters dissecting everything from transistor structures to System Architecture, we should be well familiarized with...
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Deep reinforcement learning framework for end-to-end semiconductor process control
This work focuses on bringing state-of-the-art artificial intelligence and deep reinforcement learning to the manufacturing of semiconductor devices....
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Semiconductor Basics
Semiconductors are all about harnessing the power of electricity to do amazing things. When you think about it, human advancement has always been...
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Synaptic devices based on semiconductor nanocrystals
To meet a growing demand for information processing, brain-inspired neuromorphic devices have been intensively studied in recent years. As an...
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Proximity-induced magnetic order in topological insulator on ferromagnetic semiconductor
Introducing magnetic order into topological insulator (TI) to break the time-reversal symmetry can yield numerous fascinating physical phenomena,...
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Designing semiconductor materials and devices in the post-Moore era by tackling computational challenges with data-driven strategies
In the post-Moore’s law era, the progress of electronics relies on discovering superior semiconductor materials and optimizing device fabrication....
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Highly sensitive flexible strain sensor based on the two-dimensional semiconductor tellurium with a negative gauge factor
Research on flexible strain sensors has advanced rapidly in recent years, with particular attention being devoted to two-dimensional (2D)...
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Image Retrieval in Semiconductor Manufacturing
Content-Based Image Retrieval has a lot of applications in the industry, where large collections of data from manufacturing need to be automatically...
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A novel adaptation of Naive Bayes methods for improving semiconductor fab yield
With microchip sales exceeding US $500 billion in 2023, improving semiconductor yield is a valuable proposition. Toward this goal, this paper...
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Reduction of Bubble-Induced Defect in Semiconductor Lithography Process
In this study, methods for suppressing the occurrence of air bubbles in the photoresist (PR) dispensing apparatus of photo lithography system in...
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Progress on the program of Si-compatible two-dimensional semiconductor materials and devices
Two-dimensional (2D) materials are at the forefront of innovation, heralding a new era for next-generation electronics and optoelectronics. These...
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Hybrid ASP-Based Multi-objective Scheduling of Semiconductor Manufacturing Processes
Modern semiconductor manufacturing involves intricate production processes consisting of hundreds of operations, which can take several months from...
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A Signal-Processing-Assisted Instrumentation System for Nondestructive Characterization of Semiconductor Wafers
A signal-processing-assisted instrumentation system has been developed for nondestructive resistivity map** in semiconductor wafers. With the...
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Can de-risking avert supply chain precarity in the face of China-U.S. geopolitical tensions? From sanctions to semiconductor resilience and national security
As a main driver of geoeconomic power, technological supremacy is at stake in the current zero-sum tech war between the U.S. and China. Semiconductor...
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Predictive Intelligence Based Semiconductor Substrate Fault Detection Model with User Interface
The semiconductor industry is growing day by day and currently, all different countries are trying to invest in semiconductor development as these...
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Distributional reinforcement learning for run-to-run control in semiconductor manufacturing processes
Deep reinforcement learning (DRL) has been preliminarily applied to run-to-run (RtR) control. However, the existing works have mainly conducted on...
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DRL-dEWMA: a composite framework for run-to-run control in the semiconductor manufacturing process
This study aims to develop a weight-adjustment scheme for a double exponentially weighted moving average (dEWMA) controller using deep reinforcement...
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An Intelligent Polarimetric System for High-Throughput and High-Sensitivity Quality Assessment of Commercial Semiconductor Wafers
An intelligent polarimetric system has been developed for high-throughput quality assessment of commercial semiconductor wafers by measuring a small...