Showing posts with label Voltage. Show all posts
Showing posts with label Voltage. Show all posts

Jun 16, 2026

[paper] 130-nm CMOS tunnel p-bit cell

Ju-Young Yoon, Nuno Caçoilo, Advait Madhavan, Jabez J. McClelland, Shun Kanai, Hideo Ohno, Shunsuke Fukami, and William A. Borders, 
"130-nm CMOS-integrated superparamagnetic tunnel junction-based p-bit," 
in IEEE Electron Device Letters, 
DOI: 10.1109/LED.2026.3696800

Abstract: Probabilistic computers offer promising solutions for computationally hard problems in domains such as combinatorial optimization and machine learning. A key building block in these systems is the probabilistic bit (p-bit), which relies on superparamagnetic tunnel junctions (sMTJs) as its source of randomness. A challenging threshold to cross for scaling sMTJ-based p-bit systems is integration of sMTJs with CMOS technology. In this work, we present experimental results of a p-bit unit cell using sMTJs integrated with 130 nm CMOS technology and demonstrate that the sMTJ’s resistance fluctuations can generate a corresponding fluctuating digital output voltage which is tunable via the input voltage. These findings establish the feasibility of CMOS-compatible, sMTJ-based probabilistic circuits and mark a key step toward scalable hardware for real-world probabilistic computing applications. 


FIG: (a) Circuit diagram of the spintronic p-bit; b) Schematic cross-sectional structure of the spintronic p-bit. Transistors and lower interconnect layers were fabricated at SkyWater, followed by fabrication of the spintronic devices at Uni. Tohoku. (c,d) Cross-sectional and plan-view electron microscope images of the spintronic device designed to exhibit stochastic fluctuations.

Acknowledgements: This work was made possible by the NIST-led Nanotechnology Xccelerator program that distributes open-source circuit designs for integration of novel technologies on CMOS.

Jan 8, 2024

[paper] Polylogarithms in MOSFET Modeling

A. Ortiz-Conde and F. J. García-Sánchez
Recent Applications of Polylogarithms in MOSFET Modeling
2023 IEEE 33rd International Conference on Microelectronics
MIEL, Nis, Serbia, 2023, pp. 1-8
DOI: 10.1109/MIEL58498.2023.10315897

Department of Electronics and Circuits, Universidad Simón Bolívar, Caracas, Venezuela

Abstract: We present a review of recent uses of the special mathematical function known as the polylogarithm for MOSFET modeling applications. We first summarize some basic properties of polylogarithms, with a particular focus on those with negative exponential argument. After examining cases of the use of first order polylogarithms pertinent to electron device modeling, we explain the reasons that motivate the use of polylogarithms of diverse orders for formulating mono- and poly-crystalline succinct compact MOSFET models. We then analyze a particular representative example: the modeling of polysilicon MOSFETs using the polylogarithm. Recalling that polylogarithms may be used to faithfully represent Fermi-Dirac Integrals in general, and considering that they are analytically differentiable and integrable, we describe a full Fermi–Dirac Statistics-based version of the usually approximate Boltzmann Statistics-based MOSFET Surface Potential Equation (SPE).

TABLE: Some Features of Polylogarithms with Negative Exponential Argument