Vacuum-based long-term thermal stability evaluation of metal-organic precursors for atomic layer deposition

Understanding the long-term thermal stability of metal-organic precursors is critical for maintaining consistent and reliable atomic layer deposition (ALD) performance. Conventional evaluations, such as thermogravimetric analysis (TGA) and bulk long-term thermal stability tests in sealed containers, do not reproduce the vacuum exposure and pressure fluctuations encountered under practical ALD process environments. In this work, we developed a vacuum-based long-term stability evaluation platform that reproduces process-relevant pressure cycling while enabling extended thermal treatment and periodic, atmosphere-free sampling of liquid precursors. Using tetrakis(ethylmethylamino)hafnium (TEMAHf) as a model precursor, we compare non-pumping, 6-h cyclic pumping, and 1-h cyclic pumping environments and track degradation using colorimetry, TGA residual mass, viscosity, and vapor pressure. More frequent pressure cycling accelerates degradation, evidenced by stronger color changes, increased non-volatile residue accumulation, higher viscosity, and reduced vapor pressure. These results indicate that non-vacuum, non-cycling tests can underestimate process-relevant long-term degradation and highlight the need for vacuum- and pressure cycling-based protocols to screen precursor stability and guide precursor and process optimization in ALD.

Authors

Institutions

Publication Details

Journal
Materials Science in Semiconductor Processing
Published
2026-09-14
DOI
https://doi.org/10.1016/j.mssp.2026.111145
Primary Topic
Semiconductor materials and devices
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Vacuum-based long-term thermal stability evaluation of metal-organic precursors for atomic layer deposition

Ju‐Young Yun, 김하영, Seonjeong Maeng, Jong‐Man Kim et al.
Materials Science in Semiconductor Processing
Semiconductor materials and devices
article

Vacuum-based long-term thermal stability evaluation of metal-organic precursors for atomic layer deposition

Ju‐Young Yun, 김하영, Seonjeong Maeng, Jong‐Man Kim, 임재욱
article en

Abstract

Understanding the long-term thermal stability of metal-organic precursors is critical for maintaining consistent and reliable atomic layer deposition (ALD) performance. Conventional evaluations, such as thermogravimetric analysis (TGA) and bulk long-term thermal stability tests in sealed containers, do not reproduce the vacuum exposure and pressure fluctuations encountered under practical ALD process environments. In this work, we developed a vacuum-based long-term stability evaluation platform that reproduces process-relevant pressure cycling while enabling extended thermal treatment and periodic, atmosphere-free sampling of liquid precursors. Using tetrakis(ethylmethylamino)hafnium (TEMAHf) as a model precursor, we compare non-pumping, 6-h cyclic pumping, and 1-h cyclic pumping environments and track degradation using colorimetry, TGA residual mass, viscosity, and vapor pressure. More frequent pressure cycling accelerates degradation, evidenced by stronger color changes, increased non-volatile residue accumulation, higher viscosity, and reduced vapor pressure. These results indicate that non-vacuum, non-cycling tests can underestimate process-relevant long-term degradation and highlight the need for vacuum- and pressure cycling-based protocols to screen precursor stability and guide precursor and process optimization in ALD.

Materials Science in Semiconductor ProcessingVol. 217
Korea Research Institute of Standards and Science (KR), Hanyang University (KR), Korea University of Science and Technology (KR)
Ministry of Trade, Industry and Energy, Korea Research Institute of Standards and Science
Openalex Percentile: Top 21%
Semiconductor materials and devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.