An Accurate and Transferable ReaxFF Parameter Set toward the Simulation of a Plasma Etching Process in Semiconductor Manufacturing

The plasma etching mechanisms of silicon- and carbon-based materials using fluorine atoms are significant for guiding the semiconductor manufacturing processes; however, the fundamental studies are hindered by the difficulty of experimentally measuring what happens in the etching process at the atomic scale. Although reactive molecular dynamics simulation is a strong tool to study the reaction dynamics of a plasma etching process, there are still no available reactive potentials to study the fluorine-etching process. In this work, we developed a suite of accurate and transferable reactive force field (ReaxFF) parameter set for the C/H/O/Si/F systems, by using a multiobjective global optimization strategy combining the simulated annealing algorithm (SA) and particle swarm optimization (PSO) algorithms. Besides, we demonstrated that the developed ReaxFF parameter set is very precise and valid for describing various properties, including the reaction dynamics of F-containing small molecules, gas–liquid transition, and the F-etching process of various silicon/carbon-containing solids. The above findings indicate that the developed ReaxFF parameters can accurately describe the reactions and phenomena involving C/H/O/Si/F elements, which is expected to contribute greatly to future research endeavors on the etching process.

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Publication Details

Journal
The Journal of Physical Chemistry C
Published
2025-04-23
DOI
https://doi.org/10.1021/acs.jpcc.4c08709
Citations
2
Primary Topic
Advancements in Semiconductor Devices and Circuit Design
Type
article
Field-Weighted Citation Impact
1.46

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article

An Accurate and Transferable ReaxFF Parameter Set toward the Simulation of a Plasma Etching Process in Semiconductor Manufacturing

Huajie Xu, Zhipeng Gao, Jingxing Zhong, Pengfei Shi et al.
2 citations
The Journal of Physical Chemistry C
Advancements in Semiconductor Devices and Circuit Design
1.46
article

An Accurate and Transferable ReaxFF Parameter Set toward the Simulation of a Plasma Etching Process in Semiconductor Manufacturing

Huajie Xu, Zhipeng Gao, Jingxing Zhong, Pengfei Shi, Junting Li, Yang Wang, Qinhao Sun
article en
2 citations

Abstract

The plasma etching mechanisms of silicon- and carbon-based materials using fluorine atoms are significant for guiding the semiconductor manufacturing processes; however, the fundamental studies are hindered by the difficulty of experimentally measuring what happens in the etching process at the atomic scale. Although reactive molecular dynamics simulation is a strong tool to study the reaction dynamics of a plasma etching process, there are still no available reactive potentials to study the fluorine-etching process. In this work, we developed a suite of accurate and transferable reactive force field (ReaxFF) parameter set for the C/H/O/Si/F systems, by using a multiobjective global optimization strategy combining the simulated annealing algorithm (SA) and particle swarm optimization (PSO) algorithms. Besides, we demonstrated that the developed ReaxFF parameter set is very precise and valid for describing various properties, including the reaction dynamics of F-containing small molecules, gas–liquid transition, and the F-etching process of various silicon/carbon-containing solids. The above findings indicate that the developed ReaxFF parameters can accurately describe the reactions and phenomena involving C/H/O/Si/F elements, which is expected to contribute greatly to future research endeavors on the etching process.

The Journal of Physical Chemistry CVol. 129(18)
Frontier Science Foundation (CH), Southwest Jiaotong University (CN)
National Natural Science Foundation of China, Southwest Jiaotong University, Department of Science and Technology of Sichuan Province, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 18%
Advancements in Semiconductor Devices and Circuit Design
1.46
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