TY - JOUR
T1 - Mitigating the forbidden pitch of extreme ultraviolet lithography using mask optimization based on genetic algorithm
AU - Ma, Ling
AU - Dong, Lisong
AU - Fan, Taian
AU - Ma, Xu
AU - Wei, Yayi
N1 - Publisher Copyright:
© 2022 Society of Photo-Optical Instrumentation Engineers (SPIE).
PY - 2022/10/1
Y1 - 2022/10/1
N2 - Background: In advanced technology nodes, forbidden pitches (FPs) can reduce the depth of focus and limit the overlapped process window of lithography. In extreme ultraviolet (EUV) lithography, one pattern in a different orientation or different position of arc slit field will have a different shadowing effect, due to the chief ray angle and azimuthal angle of the incident light. Therefore, it is necessary to mitigate the FP effect of EUV lithography. Aim: With the purpose of mitigating the phenomenon of FPs in the arc slit exposure field, we propose an optimization method based on a genetic algorithm (GA). Approach: The optimization method is derived from the basic flow of the GA. Three mask parameters are selected as the variables, including the mask bias and the width and position of the assist feature. The cost function is designed to evaluate the process window, normalized image log slope, and contrast of different fields in the arc slit. After multiple iterations, an optimal combination of three variables is obtained. Results: The simulation results show that the optimized mask structure given by the proposed method in the arc slit exposure field can improve the process window in the horizontal and vertical orientations, respectively. Conclusions: The limitation of FPs to the process window is removed using mask optimization based on the GA. The proposed optimization method has the potential to be an effect candidate for FPs mitigation.
AB - Background: In advanced technology nodes, forbidden pitches (FPs) can reduce the depth of focus and limit the overlapped process window of lithography. In extreme ultraviolet (EUV) lithography, one pattern in a different orientation or different position of arc slit field will have a different shadowing effect, due to the chief ray angle and azimuthal angle of the incident light. Therefore, it is necessary to mitigate the FP effect of EUV lithography. Aim: With the purpose of mitigating the phenomenon of FPs in the arc slit exposure field, we propose an optimization method based on a genetic algorithm (GA). Approach: The optimization method is derived from the basic flow of the GA. Three mask parameters are selected as the variables, including the mask bias and the width and position of the assist feature. The cost function is designed to evaluate the process window, normalized image log slope, and contrast of different fields in the arc slit. After multiple iterations, an optimal combination of three variables is obtained. Results: The simulation results show that the optimized mask structure given by the proposed method in the arc slit exposure field can improve the process window in the horizontal and vertical orientations, respectively. Conclusions: The limitation of FPs to the process window is removed using mask optimization based on the GA. The proposed optimization method has the potential to be an effect candidate for FPs mitigation.
KW - Extreme ultraviolet lithography
KW - Forbidden pitch
KW - Genetic algorithm
KW - Mask optimization
KW - Process window
UR - http://www.scopus.com/inward/record.url?scp=85147606338&partnerID=8YFLogxK
U2 - 10.1117/1.JMM.21.4.043204
DO - 10.1117/1.JMM.21.4.043204
M3 - Article
AN - SCOPUS:85147606338
SN - 1932-5150
VL - 21
JO - Journal of Micro/ Nanolithography, MEMS, and MOEMS
JF - Journal of Micro/ Nanolithography, MEMS, and MOEMS
IS - 4
M1 - 043204
ER -