Novel Mechanism-Based Descriptors for Extreme Ultraviolet-Induced Photoacid Generation: Key Factors Affecting Extreme Ultraviolet Sensitivity

Predicting photolithography performance in silico for a given materials combination is essential for developing better patterning processes. However, it is still an extremely daunting task because of the entangled chemistry with multiple reactions among many material components. Herein, we investiga...

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Main Authors: Ji Young Park, Hyun-Ji Song, Thanh Cuong Nguyen, Won-Joon Son, Daekeon Kim, Giyoung Song, Suk-Koo Hong, Heeyoung Go, Changmin Park, Inkook Jang, Dae Sin Kim
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Molecules
Subjects:
Online Access:https://www.mdpi.com/1420-3049/28/17/6244
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author Ji Young Park
Hyun-Ji Song
Thanh Cuong Nguyen
Won-Joon Son
Daekeon Kim
Giyoung Song
Suk-Koo Hong
Heeyoung Go
Changmin Park
Inkook Jang
Dae Sin Kim
author_facet Ji Young Park
Hyun-Ji Song
Thanh Cuong Nguyen
Won-Joon Son
Daekeon Kim
Giyoung Song
Suk-Koo Hong
Heeyoung Go
Changmin Park
Inkook Jang
Dae Sin Kim
author_sort Ji Young Park
collection DOAJ
description Predicting photolithography performance in silico for a given materials combination is essential for developing better patterning processes. However, it is still an extremely daunting task because of the entangled chemistry with multiple reactions among many material components. Herein, we investigated the EUV-induced photochemical reaction mechanism of a model photoacid generator (PAG), triphenylsulfonium cation, using atomiC–Scale materials modeling to elucidate that the acid generation yield strongly depends on two main factors: the lowest unoccupied molecular orbital (LUMO) of PAG cation associated with the electron-trap efficiency ‘before C–S bond dissociation’ and the overall oxidation energy change of rearranged PAG associated with the proton-generation efficiency ‘after C–S bond dissociation’. Furthermore, by considering stepwise reactions accordingly, we developed a two-parameter-based prediction model predicting the exposure dose of the resist, which outperformed the traditional LUMO-based prediction model. Our model suggests that one should not focus only on the LUMO energies but also on the energy change during the rearrangement process of the activated triphenylsulfonium (TPS) species. We also believe that the model is well suited for computational materials screening and/or inverse design of novel PAG materials with high lithographic performances.
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spelling doaj.art-012c9efdd14c4b02a0ffc4e64d12605e2023-11-19T08:33:18ZengMDPI AGMolecules1420-30492023-08-012817624410.3390/molecules28176244Novel Mechanism-Based Descriptors for Extreme Ultraviolet-Induced Photoacid Generation: Key Factors Affecting Extreme Ultraviolet SensitivityJi Young Park0Hyun-Ji Song1Thanh Cuong Nguyen2Won-Joon Son3Daekeon Kim4Giyoung Song5Suk-Koo Hong6Heeyoung Go7Changmin Park8Inkook Jang9Dae Sin Kim10Innovation Center, Samsung Electronics, Samsungjeonja-ro 1, Hwaseong-si 18448, Republic of KoreaSemiconductor R&D Center, Samsung Electronics, Samsungjeonja-ro 1, Hwaseong-si 18448, Republic of KoreaInnovation Center, Samsung Electronics, Samsungjeonja-ro 1, Hwaseong-si 18448, Republic of KoreaInnovation Center, Samsung Electronics, Samsungjeonja-ro 1, Hwaseong-si 18448, Republic of KoreaInnovation Center, Samsung Electronics, Samsungjeonja-ro 1, Hwaseong-si 18448, Republic of KoreaSemiconductor R&D Center, Samsung Electronics, Samsungjeonja-ro 1, Hwaseong-si 18448, Republic of KoreaSemiconductor R&D Center, Samsung Electronics, Samsungjeonja-ro 1, Hwaseong-si 18448, Republic of KoreaSemiconductor R&D Center, Samsung Electronics, Samsungjeonja-ro 1, Hwaseong-si 18448, Republic of KoreaSemiconductor R&D Center, Samsung Electronics, Samsungjeonja-ro 1, Hwaseong-si 18448, Republic of KoreaInnovation Center, Samsung Electronics, Samsungjeonja-ro 1, Hwaseong-si 18448, Republic of KoreaInnovation Center, Samsung Electronics, Samsungjeonja-ro 1, Hwaseong-si 18448, Republic of KoreaPredicting photolithography performance in silico for a given materials combination is essential for developing better patterning processes. However, it is still an extremely daunting task because of the entangled chemistry with multiple reactions among many material components. Herein, we investigated the EUV-induced photochemical reaction mechanism of a model photoacid generator (PAG), triphenylsulfonium cation, using atomiC–Scale materials modeling to elucidate that the acid generation yield strongly depends on two main factors: the lowest unoccupied molecular orbital (LUMO) of PAG cation associated with the electron-trap efficiency ‘before C–S bond dissociation’ and the overall oxidation energy change of rearranged PAG associated with the proton-generation efficiency ‘after C–S bond dissociation’. Furthermore, by considering stepwise reactions accordingly, we developed a two-parameter-based prediction model predicting the exposure dose of the resist, which outperformed the traditional LUMO-based prediction model. Our model suggests that one should not focus only on the LUMO energies but also on the energy change during the rearrangement process of the activated triphenylsulfonium (TPS) species. We also believe that the model is well suited for computational materials screening and/or inverse design of novel PAG materials with high lithographic performances.https://www.mdpi.com/1420-3049/28/17/6244photoacid generator (PAG)acid-generation mechanismchemical amplified resist (CAR)triphenylsulfonium (TPS)extreme ultraviolet (EUV) photoresist
spellingShingle Ji Young Park
Hyun-Ji Song
Thanh Cuong Nguyen
Won-Joon Son
Daekeon Kim
Giyoung Song
Suk-Koo Hong
Heeyoung Go
Changmin Park
Inkook Jang
Dae Sin Kim
Novel Mechanism-Based Descriptors for Extreme Ultraviolet-Induced Photoacid Generation: Key Factors Affecting Extreme Ultraviolet Sensitivity
Molecules
photoacid generator (PAG)
acid-generation mechanism
chemical amplified resist (CAR)
triphenylsulfonium (TPS)
extreme ultraviolet (EUV) photoresist
title Novel Mechanism-Based Descriptors for Extreme Ultraviolet-Induced Photoacid Generation: Key Factors Affecting Extreme Ultraviolet Sensitivity
title_full Novel Mechanism-Based Descriptors for Extreme Ultraviolet-Induced Photoacid Generation: Key Factors Affecting Extreme Ultraviolet Sensitivity
title_fullStr Novel Mechanism-Based Descriptors for Extreme Ultraviolet-Induced Photoacid Generation: Key Factors Affecting Extreme Ultraviolet Sensitivity
title_full_unstemmed Novel Mechanism-Based Descriptors for Extreme Ultraviolet-Induced Photoacid Generation: Key Factors Affecting Extreme Ultraviolet Sensitivity
title_short Novel Mechanism-Based Descriptors for Extreme Ultraviolet-Induced Photoacid Generation: Key Factors Affecting Extreme Ultraviolet Sensitivity
title_sort novel mechanism based descriptors for extreme ultraviolet induced photoacid generation key factors affecting extreme ultraviolet sensitivity
topic photoacid generator (PAG)
acid-generation mechanism
chemical amplified resist (CAR)
triphenylsulfonium (TPS)
extreme ultraviolet (EUV) photoresist
url https://www.mdpi.com/1420-3049/28/17/6244
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