Koleva E.Kostic I.Andok R.Vutova K.Bencurova A.Konecnikova A.2024-07-102024-07-102024-07-102024-07-102023-01-011742-65961742-658810.1088/1742-6596/2443/1/012007SCOPUS_ID:85149904543https://rlib.uctm.edu/handle/123456789/800Experimental investigation of negative electron resist AR-N 7520 profiles using an electron beam lithography system ZBA23 (Raith) is performed at variation of the exposure doses and the exposure patterns. The form of the obtained after the exposure resist profiles is investigated and optimized. Artificial neural networks for the dependence of the overall geometry of the obtained resist profiles on process parameters are trained, tested and validated. Several overall geometry quality criteria for the shape of the developed resist profile cross-sections are defined. An approach, based on the defined overall quality characteristics and multicriterial parameter optimization, is proposed and implemented for fulfillment of the technological requirements for the produced resist profile dimensions.enConference Paper