A module for fast auto differentiable simulations

The auto differentiable simulation is a type of simulation that outputs of the simulation contain not only the simulation result itself, but also its derivatives with respect to many input parameters. It provides an efficient method to study the sensitivity of the simulation result with respect to the input parameters and can be used in some gradient based optimization methods for fast parameter design optimization. In this paper, we report on the development of a fast auto differentiation module that can be used in many simulation codes.

Publication Details

Journal
JACOW
Published
2025-11-05
DOI
https://doi.org/10.18429/jacow-ipac2025-webn2
Primary Topic
Simulation Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

A module for fast auto differentiable simulations

JACOW
Simulation Techniques and Applications
article

A module for fast auto differentiable simulations

article en

Abstract

The auto differentiable simulation is a type of simulation that outputs of the simulation contain not only the simulation result itself, but also its derivatives with respect to many input parameters. It provides an efficient method to study the sensitivity of the simulation result with respect to the input parameters and can be used in some gradient based optimization methods for fast parameter design optimization. In this paper, we report on the development of a fast auto differentiation module that can be used in many simulation codes.

JACOW
Openalex Percentile: Top 37%
Simulation Techniques and Applications
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A module for fast auto differentiable simulations · JACOW (2025) | TGRS Research Map | TGRS