What is he best known for?
The fields of study he is best known for:
- Quantum mechanics
- Electrical engineering
- Amplifier
The scientist’s investigation covers issues in Electronic engineering, Electrical engineering, CMOS, Nanotechnology and Transistor.
His Electronic engineering study integrates concerns from other disciplines, such as Noise, Converters and Successive approximation ADC.
In most of his Electrical engineering studies, his work intersects topics such as Electrical efficiency.
He incorporates CMOS and Low-power electronics in his studies.
His Nanotechnology study combines topics in areas such as Polymer semiconductor, Diode and Semiconductor.
The various areas that Boris Murmann examines in his Transistor study include Optoelectronics, Organic semiconductor, Electronic circuit and Thin-film transistor.
His most cited work include:
- Skin electronics from scalable fabrication of an intrinsically stretchable transistor array. (644 citations)
- A 12-bit 75-MS/s pipelined ADC using open-loop residue amplification (470 citations)
- Highly stretchable polymer semiconductor films through the nanoconfinement effect. (417 citations)
What are the main themes of his work throughout his whole career to date?
Boris Murmann mostly deals with Electronic engineering, CMOS, Electrical engineering, Amplifier and Converters.
Boris Murmann specializes in Electronic engineering, namely Nyquist–Shannon sampling theorem.
His CMOS research integrates issues from Comparator, Successive approximation ADC, Chip and Figure of merit.
His research in the fields of Integrated circuit, Transistor, Bandwidth and Mixed-signal integrated circuit overlaps with other disciplines such as Low-power electronics.
His research on Transistor also deals with topics like
- Thin-film transistor together with Optoelectronics,
- Nanotechnology that intertwine with fields like Stretchable electronics and Sensitivity.
The study incorporates disciplines such as Noise, Spurious-free dynamic range and Dissipation in addition to Converters.
He most often published in these fields:
- Electronic engineering (47.48%)
- CMOS (30.67%)
- Electrical engineering (28.57%)
What were the highlights of his more recent work (between 2019-2021)?
- CMOS (30.67%)
- Electronic engineering (47.48%)
- Artificial neural network (5.46%)
In recent papers he was focusing on the following fields of study:
Boris Murmann mainly focuses on CMOS, Electronic engineering, Artificial neural network, Electrical engineering and Transmitter.
He combines subjects such as Switched capacitor, Chip, Electrical efficiency and Signal processing with his study of CMOS.
His study deals with a combination of Electronic engineering and Domain.
His studies in Artificial neural network integrate themes in fields like Convolution, Convolutional neural network and Inference.
A large part of his Electrical engineering studies is devoted to Cmos electronics.
His studies deal with areas such as Total harmonic distortion, Pulse-amplitude modulation, Transimpedance amplifier, Variable-gain amplifier and Transceiver as well as Transmitter.
Between 2019 and 2021, his most popular works were:
- Ink Development and Printing of Conducting Polymers for Intrinsically Stretchable Interconnects and Circuits (12 citations)
- Power-saving design opportunities for wireless intracortical brain-computer interfaces. (6 citations)
- Machine Learning at the Edge (6 citations)
In his most recent research, the most cited papers focused on:
- Quantum mechanics
- Electrical engineering
- Amplifier
His scientific interests lie mostly in Nanotechnology, Circuit design, Electronic engineering, Scalability and CMOS.
His Nanotechnology research incorporates themes from PEDOT:PSS, Charge screening, Debye length and Sensitivity.
Boris Murmann has researched Circuit design in several fields, including Wireless, Power, Power saving, Computer hardware and Communication channel.
Boris Murmann is interested in Wideband, which is a branch of Electronic engineering.
His work carried out in the field of CMOS brings together such families of science as Nyquist–Shannon sampling theorem, Frequency response, Transceiver, Output impedance and Transmitter.
Boris Murmann usually deals with Latency and limits it to topics linked to Inference and Field-programmable gate array, Machine learning, Bottleneck and Convolution.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
