Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors Article Swipe

MAKE IMPACT

Robert K. A. Bennett , Jan-Lucas Uslu , Harmon F. Gault , Asir Intisar Khan , Lauren Hoang , Tara Peña , Kathryn M. Neilson , Young Suh Song , Zhepeng Zhang , Andrew J. Mannix , Eric Pop · YOU? · · 2025 · Open Access ·

We present a deep learning approach to extract physical parameters (e.g., mobility, Schottky contact barrier height, defect profiles) of two-dimensional (2D) transistors from electrical measurements, enabling automated parameter extraction and technology computer-aided design (TCAD) fitting. To facilitate this task, we implement a simple data augmentation and pre-training approach by training a secondary neural network to approximate a physics-based device simulator. This method enables high-quality fits after training the neural network on electrical data generated from physics-based simulations of ~500 devices, a factor >40$\times$ fewer than other recent efforts. Consequently, fitting can be achieved by training on physically rigorous TCAD models, including complex geometry, self-consistent transport, and electrostatic effects, and is not limited to computationally inexpensive compact models. We apply our approach to reverse-engineer key parameters from experimental monolayer WS$_2$ transistors, achieving a median coefficient of determination ($R^2$) = 0.99 when fitting measured electrical data. We also demonstrate that this approach generalizes and scales well by reverse-engineering electrical data on high-electron-mobility transistors while fitting 35 parameters simultaneously. To facilitate future research on deep learning approaches for inverse transistor design, we have published our code and sample data sets online.

Type

preprint

Language

en

Landing Page

http://arxiv.org/abs/2507.05134

PDF

https://arxiv.org/pdf/2507.05134

OA Status

green

OpenAlex ID

https://openalex.org/W4415163570

Raw OpenAlex JSON

OpenAlex ID

https://openalex.org/W4415163570

Canonical identifier for this work in OpenAlex

Title

Deep Learning to Automate Parameter Extraction and Model Fitting of Two-Dimensional Transistors

Work title

Type

preprint

OpenAlex work type

Language

en

Primary language

Publication year

2025

Year of publication

Publication date

2025-07-07

Full publication date if available

Authors

Robert K. A. Bennett, Jan-Lucas Uslu, Harmon F. Gault, Asir Intisar Khan, Lauren Hoang, Tara Peña, Kathryn M. Neilson, Young Suh Song, Zhepeng Zhang, Andrew J. Mannix, Eric Pop

List of authors in order

Landing page

https://arxiv.org/abs/2507.05134

Publisher landing page

PDF URL

https://arxiv.org/pdf/2507.05134

Direct link to full text PDF

Open access

Yes

Whether a free full text is available

OA status

green

Open access status per OpenAlex

OA URL

https://arxiv.org/pdf/2507.05134

Direct OA link when available

Cited by

0

Total citation count in OpenAlex

Full payload