Work

MEEDIT, a Digital Twin for Thermo-Field Emission

Year: 2026

Type: conference-paper

Abstract: To overcome the limitations of the standard models for thermo-field emission data analysis, we have developed MEEDiT: a digital twin for thermo-field electron emission. By exploiting the capabilities of large data methods and physics informed neural networks, we have combined highly accurate 3D simulations with large experimental data sets to create a digital twin of a TFE emitter. Here we present the methods we have developed to build MEEDiT, we show its capabilities for data analysis, and we outline its potential and future work lines.

Source: International Vacuum Nanoelectronics Conference

DOI: 10.1109/ivnc69421.2026.11660990

Authors: Salvador Barranco Cárceles, Veronika Zadin, Steve Wells, Aquila Mavalankar, Ian Underwood, Anthony Ayari

Institutions: Lyon 1 Université, University of Tartu, University of Edinburgh

Language: English

Topic: Gyrotron and Vacuum Electronics Research

Subfield: Atomic and Molecular Physics, and Optics

Field: Physics and Astronomy

Domain: Physical Sciences

Open Access status: hybrid

OpenAlex ID: W7204162354

FWCI:

Cites: 7

Cited by:

Related to: 10