Study of Ge-Rich Ge-Sb-Te Device-Dependent Segregation for Industrial Grade Embedded Phase-Change Memory

被引:0
|
作者
Petroni, Elisa [1 ]
Allegra, Mario [1 ]
Baldo, Matteo [1 ]
Laurin, Luca [1 ]
Serafini, Andrea [2 ]
Favennec, Laurent [3 ]
Desvoivres, Latifa [4 ]
Sandrini, Jury [5 ]
Boccaccio, Christian [5 ]
Le-Friec, Yannick [3 ]
Ostrovsky, Alain [3 ]
Gouraud, Pascal [3 ]
Bonnevialle, Aurore [3 ]
Ranica, Rossella [5 ]
Redaelli, Andrea [1 ]
机构
[1] STMicroelectronics, Smart Power TR&D, I-20864 Agrate Brianza, Italy
[2] STMicroelectronics, AGR FMT Phys Lab, I-20864 Agrate Brianza, Italy
[3] STMicroelectronics, DIG FEM TR&D PDEV, F-38920 Crolles, France
[4] Univ Grenoble Alpes, CEA Leti, F-38920 Crolles, France
[5] STMicroelectronics, DIG FEM TR&D DNA, F-38920 Crolles, France
来源
关键词
compositional data analysis; electron energy loss spectroscopy; Ge-rich Ge-Sb-Te; phase-change memory; reliability; statistics; CRYSTALLIZATION;
D O I
10.1002/pssr.202300449
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Ge-rich Ge-Sb-Te (GGST) alloys are the most promising materials for phase-change memory in embedded applications, being able to fulfill the tough data retention requirements of automotive and consumer markets. GGST alloys are sensitive to thermal budgets and spatial confinement; thus, memory device process integration and architecture can strongly impact their final electrical properties and reliability. Herein, exploiting a statistical methodology capable to extract quantitative metrics for evaluating by-process segregation, the inhomogeneity of out-of-fab GGST material in function of process parameters is studied such as architecture and alloy composition. The present results with the already known source of segregation, namely the back-end-of-line thermal budget, are compared providing a comprehensive description of the main modulating factors of segregation among these different process parameters. Herein, Ge-rich Ge-Sb-Te segregation in the function of different device and process parameters is studied. A statistical methodology, returning metrics to quantify material segregation, is exploited to analyze the effects of confinement and composition. Moreover, the present test case is compared with previous results, returning a comprehensive fit of all the known sources of segregation.-image (c) 2024 WILEY-VCH GmbH
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页数:8
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