AVS 59th Annual International Symposium and Exhibition
    Nanometer-scale Science and Technology Monday Sessions
       Session NS+SP-MoA

Paper NS+SP-MoA10
Variance of Proximity Effect Correction Parameter Measured on Silicon

Monday, October 29, 2012, 5:00 pm, Room 12

Session: Nanopatterning and Nanolithography
Presenter: D.A. Czaplewski, Argonne National Laboratory
Authors: D.A. Czaplewski, Argonne National Laboratory
L.E. Ocola, Argonne National Laboratory
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We present data showing that the relative intensity of the backscattered electrons, h, to primary write electrons varies depending on the experimental setup. Our data is consistent with the wide range in values reported in the literature for h. The value of h was determined using a doughnut and cross method [1] where the range of the backscattered electrons was measured to an uncertainty of less than 1%. We find that using this method to determine h provides values that are dependent on the dose of the doughnut. Such a result raises questions on the effectiveness of standard proximity effect correction models (PEC) if they rely on a single h value. Standard PEC models attempt to load level the dose received by the desired pattern in the e-beam resist from all sources of electrons, including the forward and backward scattered electrons during an electron beam exposure.
 
The relative dose of the backscattered electrons was measured using a set of intersecting lines at the center of tori patterns in a doughnut and cross method [1], (Fig. 1). The backscattered electron dose contribution was varied by changing the dose of the tori with respect to the dose of the intersecting lines as can be seen in Fig. 2. The expected behavior would be a consistent ratio of the backscattered contribution and the line dose; however, as the backscattered electron dose is decreased, the relative contribution to the pattern increases faster than the line dose contribution (Fig. 3). The causes of this phenomenon are not certain yet, but the implications could change existing PEC models. Through further study of this phenomenon, it is possible that the models used in PEC could be updated to accommodate this data and therefore give more accurate dose assignments.
 
[1] D. A. Czaplewski, L. E. Ocola, Appl. Phys. Lett. 99 192105 (2011).