• Home
  • Services
  • About
  • Contact
  • Blog
  • 知財活動のROICへの貢献
  • 生成AIを活用した知財戦略の策定方法
  • 生成AIとの「壁打ち」で、新たな発明を創出する方法

​
​よろず知財コンサルティングのブログ

次世代EUVリソグラフィー向けMOR関連特許分析

6/1/2026

0 Comments

 
半導体製造の微細化が限界に達する中、次世代の露光技術であるHigh-NA EUVへの対応が急務となっていて、従来の有機レジストに代わり、光吸収率と解像度に優れた金属酸化物レジスト(MOR)への転換が、物理的制約を打破する鍵として注目されているということです。
生成AIに、次世代EUVリソグラフィー向けメタル酸化物レジスト(MOR)の技術分析で現れた各企業の次世代EUVリソグラフィー向けメタル酸化物レジスト(MOR)関連特許出願状況の分析を行わせ、各社の次世代EUVリソグラフィー向けメタル酸化物レジスト(MOR)関連特許出願戦略を分析させました。さらに、結果をNotebookLMでインフォグラフィック、スライド資料にさせました。
なお、生成AIによる調査・分析結果は、公開された情報からだけの分析であり、必ずしも実情を示したものではないこと、誤った情報も含まれていることについてはご留意されたうえで、ご参照ください。
 
半導体レジストの新星「MOR」、ADEKAが材料 東エレクに米社挑む2025.12.12
https://xtech.nikkei.com/atcl/nxt/column/18/00001/11259/
 
 
Patent Analysis of Metal Oxide Resists (MOR) for Next-Generation EUV Lithography
As the miniaturization of semiconductor manufacturing approaches its physical limits, addressing High-NA EUV, the next-generation lithography technology, has become an urgent priority. Against this backdrop, a shift from conventional organic resists to metal oxide resists (MOR)—which offer superior EUV absorption and resolution—is attracting attention as a key means of overcoming these physical constraints.
Using generative AI, we conducted an analysis of the patent filing landscape related to metal oxide resists (MOR) for next-generation EUV lithography, as identified through a technical analysis of MOR technologies. Based on this, we examined the patent filing strategies of individual companies in this field. The results were further transformed into infographics and presentation materials using NotebookLM.
Please note that the analyses and findings generated by AI are based solely on publicly available information and therefore may not fully reflect actual circumstances. They may also contain inaccuracies, and should be interpreted with these limitations in mind.

Your browser does not support viewing this document. Click here to download the document.
Your browser does not support viewing this document. Click here to download the document.
Your browser does not support viewing this document. Click here to download the document.
Your browser does not support viewing this document. Click here to download the document.
Your browser does not support viewing this document. Click here to download the document.
Your browser does not support viewing this document. Click here to download the document.
Your browser does not support viewing this document. Click here to download the document.
Your browser does not support viewing this document. Click here to download the document.
Your browser does not support viewing this document. Click here to download the document.
0 Comments



Leave a Reply.

    著者

    萬秀憲

    アーカイブ

    January 2026
    December 2025
    November 2025
    October 2025
    September 2025
    August 2025
    July 2025
    June 2025
    May 2025
    April 2025
    March 2025
    February 2025
    January 2025
    December 2024
    November 2024
    October 2024
    September 2024
    August 2024
    July 2024
    June 2024
    May 2024
    April 2024
    March 2024
    February 2024
    January 2024
    December 2023
    November 2023
    October 2023
    September 2023
    August 2023
    July 2023
    June 2023
    May 2023
    April 2023
    March 2023
    February 2023
    January 2023
    December 2022
    November 2022
    October 2022
    September 2022
    August 2022
    July 2022
    June 2022
    May 2022
    April 2022
    March 2022
    February 2022
    January 2022
    December 2021
    November 2021
    October 2021
    September 2021
    August 2021
    July 2021
    June 2021
    May 2021
    April 2021
    March 2021
    February 2021
    January 2021
    December 2020
    November 2020
    October 2020
    September 2020
    August 2020
    July 2020
    June 2020

    カテゴリー

    All

    RSS Feed

Copyright © よろず知財戦略コンサルティング All Rights Reserved.
サイトはWeeblyにより提供され、お名前.comにより管理されています
  • Home
  • Services
  • About
  • Contact
  • Blog
  • 知財活動のROICへの貢献
  • 生成AIを活用した知財戦略の策定方法
  • 生成AIとの「壁打ち」で、新たな発明を創出する方法