Skip to main content
archive
Search Submit Donate Log in
Press Enter to search · Advanced search

Electrical Engineering and Systems Science > Signal Processing

arXiv:2504.19096 (eess)
[Submitted on 27 Apr 2025]

Title:Modeling and Optimization of Transistor Voltage Amplifiers Based on Stochastic Thermodynamics

Authors:Xiaoxuan Peng, Xiaohu Ge
View a PDF of the paper titled Modeling and Optimization of Transistor Voltage Amplifiers Based on Stochastic Thermodynamics, by Xiaoxuan Peng and 1 other authors
View PDF
Abstract:As transistor sizes reach the mesoscopic scale, the limitations of traditional methods in ensuring thermodynamic consistency have made power dissipation optimization in transistor amplifiers a critical challenge. Based on stochastic thermodynamics, a transistor voltage amplifier model is first proposed as a new insight to investigate nonlinear relationships between the power dissipation and voltage gain for complementary symmetric voltage amplifier circuits (CSVACs). Utilizing the proposed model, the phenomenon, i.e., the power dissipation exponentially increases with the increase of voltage gain in CSVACs, is first clarified by an analytical expression to quantify the impact of voltage gain and input signal amplitude on the power dissipation. Considering the characteristic of power dissipation, a new multistage architecture is proposed to reduce the power dissipation in CSVACs. To optimize the power dissipation by adjusting the number of stages and the voltage gain at each stage, an optimal multistage scheme is proposed for multistage CSVACs. Simulation and experimental results show up to 99.36% and 94.59% power dissipation reduction compared with traditional CSVACs by the proposed optimal multistage scheme, respectively.
Subjects: Signal Processing (eess.SP); Mesoscale and Nanoscale Physics (cond-mat.mes-hall)
Cite as: arXiv:2504.19096 [eess.SP]
  (or arXiv:2504.19096v1 [eess.SP] for this version)
  https://doi.org/10.48550/arXiv.2504.19096
arXiv-issued DOI via DataCite

Submission history

From: Xiaoxuan Peng [view email]
[v1] Sun, 27 Apr 2025 03:59:04 UTC (1,694 KB)
Full-text links:

Access Paper:

    View a PDF of the paper titled Modeling and Optimization of Transistor Voltage Amplifiers Based on Stochastic Thermodynamics, by Xiaoxuan Peng and 1 other authors
  • View PDF
view license

Current browse context:

eess.SP
< prev   |   next >
new | recent | 2025-04
Change to browse by:
cond-mat
cond-mat.mes-hall
eess

References & Citations

  • NASA ADS
  • Google Scholar
  • Semantic Scholar
Loading...

BibTeX formatted citation

Data provided by:

Bookmark

BibSonomy Reddit

Bibliographic and Citation Tools

Bibliographic Explorer (What is the Explorer?)
Connected Papers (What is Connected Papers?)
Litmaps (What is Litmaps?)
scite Smart Citations (What are Smart Citations?)

Code, Data and Media Associated with this Article

alphaXiv (What is alphaXiv?)
CatalyzeX Code Finder for Papers (What is CatalyzeX?)
DagsHub (What is DagsHub?)
Gotit.pub (What is GotitPub?)
Hugging Face (What is Huggingface?)
ScienceCast (What is ScienceCast?)

Demos

Replicate (What is Replicate?)
Hugging Face Spaces (What is Spaces?)
TXYZ.AI (What is TXYZ.AI?)

Recommenders and Search Tools

Influence Flower (What are Influence Flowers?)
CORE Recommender (What is CORE?)
  • Author
  • Venue
  • Institution
  • Topic

arXivLabs: experimental projects with community collaborators

arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.

Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.

Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.

Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)
We gratefully acknowledge support from our major funders, member institutions, , and all contributors.
About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab)
Major funding support from
Simons Foundation Simons Foundation International Schmidt Sciences