{"title":"探索大规模硅锭生长过程中的爆裂现象","authors":"Zary Adabavazeh","doi":"10.1016/j.matlet.2024.137666","DOIUrl":null,"url":null,"abstract":"<div><div>Silicon wafers are essential for the semiconductor industry, providing the foundation for most integrated circuits. As demand for microelectronics grows, larger silicon wafers, have become crucial for increasing chip production and reducing manufacturing costs. However, the crystal separation phase during Czochralski (CZ) ingot growth is particularly challenging for larger ingots, often resulting in defects due to premature detachment (“popped-out” tails). This study investigates the popping-out stage of 18-inch ingots under varying heater power and ingot pull-out speed conditions. Photoluminescence (PL) imaging and a convolutional neural network (CNN) were used to analyze dislocation density in the silicon wafers. Results show that increasing the pull-out speed after detachment can significantly increase dislocation density, while pausing the ingot near the melt surface minimizes dislocations. Additionally, increasing heater power after detachment reduces dislocation density. The optimal condition for minimizing dislocation was found when heater power was doubled, and the ingot was paused near the melt surface for 30 min.</div></div>","PeriodicalId":384,"journal":{"name":"Materials Letters","volume":"379 ","pages":"Article 137666"},"PeriodicalIF":2.7000,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploring popped-out phenomena in large-scale silicon ingot growth\",\"authors\":\"Zary Adabavazeh\",\"doi\":\"10.1016/j.matlet.2024.137666\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Silicon wafers are essential for the semiconductor industry, providing the foundation for most integrated circuits. As demand for microelectronics grows, larger silicon wafers, have become crucial for increasing chip production and reducing manufacturing costs. However, the crystal separation phase during Czochralski (CZ) ingot growth is particularly challenging for larger ingots, often resulting in defects due to premature detachment (“popped-out” tails). This study investigates the popping-out stage of 18-inch ingots under varying heater power and ingot pull-out speed conditions. Photoluminescence (PL) imaging and a convolutional neural network (CNN) were used to analyze dislocation density in the silicon wafers. Results show that increasing the pull-out speed after detachment can significantly increase dislocation density, while pausing the ingot near the melt surface minimizes dislocations. Additionally, increasing heater power after detachment reduces dislocation density. The optimal condition for minimizing dislocation was found when heater power was doubled, and the ingot was paused near the melt surface for 30 min.</div></div>\",\"PeriodicalId\":384,\"journal\":{\"name\":\"Materials Letters\",\"volume\":\"379 \",\"pages\":\"Article 137666\"},\"PeriodicalIF\":2.7000,\"publicationDate\":\"2024-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Materials Letters\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0167577X24018068\",\"RegionNum\":4,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Letters","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0167577X24018068","RegionNum":4,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Exploring popped-out phenomena in large-scale silicon ingot growth
Silicon wafers are essential for the semiconductor industry, providing the foundation for most integrated circuits. As demand for microelectronics grows, larger silicon wafers, have become crucial for increasing chip production and reducing manufacturing costs. However, the crystal separation phase during Czochralski (CZ) ingot growth is particularly challenging for larger ingots, often resulting in defects due to premature detachment (“popped-out” tails). This study investigates the popping-out stage of 18-inch ingots under varying heater power and ingot pull-out speed conditions. Photoluminescence (PL) imaging and a convolutional neural network (CNN) were used to analyze dislocation density in the silicon wafers. Results show that increasing the pull-out speed after detachment can significantly increase dislocation density, while pausing the ingot near the melt surface minimizes dislocations. Additionally, increasing heater power after detachment reduces dislocation density. The optimal condition for minimizing dislocation was found when heater power was doubled, and the ingot was paused near the melt surface for 30 min.
期刊介绍:
Materials Letters has an open access mirror journal Materials Letters: X, sharing the same aims and scope, editorial team, submission system and rigorous peer review.
Materials Letters is dedicated to publishing novel, cutting edge reports of broad interest to the materials community. The journal provides a forum for materials scientists and engineers, physicists, and chemists to rapidly communicate on the most important topics in the field of materials.
Contributions include, but are not limited to, a variety of topics such as:
• Materials - Metals and alloys, amorphous solids, ceramics, composites, polymers, semiconductors
• Applications - Structural, opto-electronic, magnetic, medical, MEMS, sensors, smart
• Characterization - Analytical, microscopy, scanning probes, nanoscopic, optical, electrical, magnetic, acoustic, spectroscopic, diffraction
• Novel Materials - Micro and nanostructures (nanowires, nanotubes, nanoparticles), nanocomposites, thin films, superlattices, quantum dots.
• Processing - Crystal growth, thin film processing, sol-gel processing, mechanical processing, assembly, nanocrystalline processing.
• Properties - Mechanical, magnetic, optical, electrical, ferroelectric, thermal, interfacial, transport, thermodynamic
• Synthesis - Quenching, solid state, solidification, solution synthesis, vapor deposition, high pressure, explosive