Lithography modeling is a very attractive way to predict the critical dimensions of patterned features after lithographic processing. In a previous paper[1], we have presented the assessment of three different simplified resist models (aerial image model, aerial image convolved with fixed gaussian noise and aerial image convolved with variable gaussian noise) by using a systematic comparison between experimental and simulated data. It has been shown that the aerial image convolved with fixed gaussian noise, or "diffused aerial image model" (DAIM), exhibits surprisingly good results of CD prediction for lines @ 193nm: using these datasets, the DAIM appears as a fast and accurate model for CD prediction. This approach allows also an easy run,...
At present, the question of the move from 193 to 157nm lithography is under discussion. There are st...
At present, the question of the move from 193 to 157nm lithography is under discussion. There are st...
This paper studies the application of resist models to AIMS [1] images. Measured AIMSTM data were co...
Lithography modeling is a very attractive way to predict the critical dimensions of patterned featur...
Resist modeling is an attractive way to predict the critical dimensions of patterned features after ...
Resist modeling is an attractive way to predict the critical dimensions of patterned features after ...
This study presents an experimental method to determine the resist parameters at the origin of a gen...
This study presents an experimental method to determine the resist parameters at the origin of a gen...
This study presents an experimental method to determine the resist parameters at the origin of a gen...
Lithography modelling is widely used to predict the critical dimensions (CD) of patterned features a...
Lithography modelling is widely used to predict the critical dimensions (CD) of patterned features a...
Lithographic DRC which takes optical interference effect into account can find and solve the related...
Ensuring robust patterning after OPC is becoming more and more difficult due to the continuous reduc...
Simulations for predicting resist effects in the sub 50 nm resolution regime are strongly requested ...
A procedure for calibrating a resist model iteratively adjusts appropriate parameters until the simu...
At present, the question of the move from 193 to 157nm lithography is under discussion. There are st...
At present, the question of the move from 193 to 157nm lithography is under discussion. There are st...
This paper studies the application of resist models to AIMS [1] images. Measured AIMSTM data were co...
Lithography modeling is a very attractive way to predict the critical dimensions of patterned featur...
Resist modeling is an attractive way to predict the critical dimensions of patterned features after ...
Resist modeling is an attractive way to predict the critical dimensions of patterned features after ...
This study presents an experimental method to determine the resist parameters at the origin of a gen...
This study presents an experimental method to determine the resist parameters at the origin of a gen...
This study presents an experimental method to determine the resist parameters at the origin of a gen...
Lithography modelling is widely used to predict the critical dimensions (CD) of patterned features a...
Lithography modelling is widely used to predict the critical dimensions (CD) of patterned features a...
Lithographic DRC which takes optical interference effect into account can find and solve the related...
Ensuring robust patterning after OPC is becoming more and more difficult due to the continuous reduc...
Simulations for predicting resist effects in the sub 50 nm resolution regime are strongly requested ...
A procedure for calibrating a resist model iteratively adjusts appropriate parameters until the simu...
At present, the question of the move from 193 to 157nm lithography is under discussion. There are st...
At present, the question of the move from 193 to 157nm lithography is under discussion. There are st...
This paper studies the application of resist models to AIMS [1] images. Measured AIMSTM data were co...