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We present a simple and scalable technique for the fabrication of solution processed & local gated carbon nanotube field effect transistors (CNT-FETs). The approach is based on directed assembly of individual single wall carbon nanotube…

Materials Science · Physics 2009-11-13 Paul Stokes , Saiful I. Khondaker

Junctionless Nanowire Field-Effect Transistors (JNFETs), where the channel region is uniformly doped without the need for source-channel and drain-channel junctions or lateral doping abruptness, are considered an attractive alternative to…

Emerging Technologies · Computer Science 2014-04-02 Mostafizur Rahman , Pritish Narayanan , Csaba Andras Moritz

We present a TCAD-based simulation framework established for quantum dot spin qubits in a silicon FinFET platform with all-electrical control of the spin state. The framework works down to 1K and consists of a two-step simulation chain,…

Mesoscale and Nanoscale Physics · Physics 2023-06-07 Qian Ding , Andreas V. Kuhlmann , Andreas Fuhrer , Andreas Schenk

Field-effect transistors (FETs) with single gates are adversely affected by short channel effects such as drain-induced barrier lowering (DIBL) and increases in the magnitude of sub-threshold swing as the channel length is reduced.…

Materials Science · Physics 2026-04-22 Chankeun Yoon , Juhan Ahn , Yuchen Zhou , Jaydeep P. Kulkarni , Ananth Dodabalapur

The exponential growth of edge artificial intelligence demands material-focused solutions to overcome energy consumption and latency limitations when processing real-time temporal data. Physical reservoir computing (PRC) offers an…

We demonstrate a 12 quantum dot device fabricated on an undoped Si/SiGe heterostructure as a proof-of-concept for a scalable, linear gate architecture for semiconductor quantum dots. The device consists of 9 quantum dots in a linear array…

Mesoscale and Nanoscale Physics · Physics 2016-12-07 D. M. Zajac , T. M. Hazard , X. Mi , E. Nielsen , J. R. Petta

Artificial intelligence applications in autonomous driving, medical diagnostics, and financial systems increasingly demand machine learning models that can provide robust uncertainty quantification, interpretability, and noise resilience.…

Compute-in-memory (CiM) is a promising solution for addressing the challenges of artificial intelligence (AI) and the Internet of Things (IoT) hardware such as 'memory wall' issue. Specifically, CiM employing nonvolatile memory (NVM)…

Emerging Technologies · Computer Science 2024-01-11 Yifei Zhou , Xuchu Huang , Jianyi Yang , Kai Ni , Hussam Amrouch , Cheng Zhuo , Xunzhao Yin

A novel room temperature capacitance-to-phase transducer is described, which uses a modified All-Pass filter architecture combined with a simple series resonant tank circuit with a moderate Q-factor. It is fashioned from a discrete inductor…

Instrumentation and Detectors · Physics 2023-12-29 Frank J. van Kann , Alexey V. Veryaskin

We propose a semi-suspended device structure and construct nanogapped, hysteresis-free field-effect transistors (FETs), based on the van der Waals stacking technique. The structure, which features a semi-suspended channel above a…

Mesoscale and Nanoscale Physics · Physics 2023-06-29 Jiachen Tang , Luhao Liu , Yinjiang Shao , Xinran Wang , Yi Shi , Songlin Li

Non-reciprocal charge transport in supercurrent diodes (SDs) polarized growing interest in the last few years for its potential applications in superconducting electronics (SCE). So far, SD effects have been reported in complex hybrid…

Mesoscale and Nanoscale Physics · Physics 2023-01-31 Federico Paolucci , Giorgio De Simoni , Francesco Giazotto

Modular architectures are a promising route toward scalable superconducting quantum processors, but finite fabrication yield and the lack of high quality temporary interconnects impose fundamental limitations on system size. Here, we…

We develop a novel field effect transistor (FET) device using solid ion conductor (SIC) as a gate dielectric, and we can tune the carrier density of FeSe by driving lithium ions in and out of the FeSe thin flakes, and consequently control…

Superconductivity · Physics 2017-03-08 B. Lei , N. Z. Wang , C. Shang , F. B. Meng , L. K. Ma , X. G. Luo , T. Wu , Z. Sun , Y. Wang , Z. Jiang , B. H. Mao , Z. Liu , Y. J. Yu , Y. B. Zhang , X. H. Chen

Artificial neural networks (ANNs) have had an enormous impact on a multitude of sectors, from research to industry, generating an unprecedented demand for tailor-suited hardware platforms. Their training and execution is highly…

Applied Physics · Physics 2025-02-18 Daniele Nazzari , Lukas Wind , Masiar Sistani , Dominik Mayr , Kihye Kim , Walter M. Weber

Neuromorphic systems seek to replicate the functionalities of biological neural networks to attain significant improvements in performance and efficiency of AI computing platforms. However, these systems have generally remained limited to…

Indium selenide (In2Se3), a ferroelectric semiconductor, offers a unique platform for multifunctional nanoelectronics owing to the interplay between polarization dynamics, interlayer sliding, and structural polymorphism. Ferroelectric…

Self-attention in Transformers generates dynamic operands that force conventional Compute-in-Memory (CIM) accelerators into costly non-volatile memory (NVM) reprogramming cycles, degrading throughput and stressing device endurance. Existing…

Hardware Architecture · Computer Science 2026-04-10 Md Zesun Ahmed Mia , Jiahui Duan , Kai Ni , Abhronil Sengupta

The electrostatic coupling between singled-walled carbon nanotube (SWNT) networks/arrays and planar gate electrodes in thin-film transistors (TFTs) is analyzed both in the quantum limit with an analytical model and in the classical limit…

Materials Science · Physics 2010-01-12 Qing Cao , Minggang Xia , Coskun Kocabas , Moonsub Shim , John A. Rogers , Slava V. Rotkin

With phenomenal growth of high speed and complex computing applications, the design of low power and high speed logic circuits have created tremendous interest. Conventional computing devices are based on irreversible logic and further…

Emerging Technologies · Computer Science 2016-08-08 Vishal Pareek

Electrically-tunable optical properties in materials are desirable for many applications ranging from displays to lasing and optical communication. In most two-dimensional thin-films and other quantum confined materials, these constants…