What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Electron
- Semiconductor
His scientific interests lie mostly in CMOS, Electrical engineering, Optoelectronics, MOSFET and Electronic engineering.
Leland Chang has included themes like Neuromorphic engineering, Electronic circuit, Nanoelectronics and Integrated circuit in his CMOS study.
The various areas that Leland Chang examines in his Electrical engineering study include Planar and System on a chip.
His Optoelectronics research is multidisciplinary, incorporating perspectives in Layer, Phonon and Transistor.
His MOSFET research integrates issues from Electron mobility, Leakage, PMOS logic, Silicon on insulator and Gate oxide.
The Static random-access memory and Logic gate research Leland Chang does as part of his general Electronic engineering study is frequently linked to other disciplines of science, such as CPU cache, therefore creating a link between diverse domains of science.
His most cited work include:
- Variational calculations on a quantum well in an electric field (592 citations)
- Finfet transistor structures having a double gate channel extending vertically from a substrate and methods of manufacture (534 citations)
- Stable SRAM cell design for the 32 nm node and beyond (531 citations)
What are the main themes of his work throughout his whole career to date?
Leland Chang mainly investigates Optoelectronics, Electrical engineering, Electronic engineering, Condensed matter physics and CMOS.
The concepts of his Optoelectronics study are interwoven with issues in Layer, Gate oxide and MOSFET.
The MOSFET study combines topics in areas such as Threshold voltage, Planar and Leakage.
His work deals with themes such as Substrate and Communication channel, which intersect with Electrical engineering.
Leland Chang has included themes like Power, Electronic circuit and Integrated circuit in his Electronic engineering study.
His work in CMOS addresses issues such as Static random-access memory, which are connected to fields such as Low voltage, Embedded system and Node.
He most often published in these fields:
- Optoelectronics (32.82%)
- Electrical engineering (29.34%)
- Electronic engineering (26.64%)
What were the highlights of his more recent work (between 2010-2021)?
- Electrical engineering (29.34%)
- Electronic engineering (26.64%)
- CMOS (18.53%)
In recent papers he was focusing on the following fields of study:
Leland Chang mainly focuses on Electrical engineering, Electronic engineering, CMOS, Static random-access memory and Transistor.
His Electrical engineering research incorporates themes from Power and Optoelectronics.
The study incorporates disciplines such as Substrate and Gate stack in addition to Optoelectronics.
His study looks at the intersection of Electronic engineering and topics like Electronic circuit with Signal.
His research integrates issues of Integrated circuit design, Neuromorphic engineering and Microelectromechanical systems in his study of CMOS.
His Transistor study integrates concerns from other disciplines, such as Schottky diode, Silicon on insulator and Line.
Between 2010 and 2021, his most popular works were:
- A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons (265 citations)
- Specifications of Nanoscale Devices and Circuits for Neuromorphic Computational Systems (133 citations)
- Hybrid CMOS technology with nanowire devices and double gated planar devices (128 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Electron
- Semiconductor
Leland Chang focuses on CMOS, Electronic engineering, Computer hardware, Electrical engineering and Static random-access memory.
CMOS is a subfield of Optoelectronics that Leland Chang studies.
His work in Optoelectronics tackles topics such as Layer which are related to areas like Planar, Second source, Semiconductor and Communication channel.
His Logic gate study in the realm of Electronic engineering connects with subjects such as Piecewise.
Transistor is the focus of his Electrical engineering research.
His biological study spans a wide range of topics, including Low voltage, Integrated circuit design and Content-addressable memory.
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