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A method for optimizing of a deposition process, a method for setting a depositioning plant and depositioning plant

机译:优化沉积工艺的方法,设置沉积设备的方法和沉积设备

摘要

A method for optimizing of a deposition process for producing an electrically conductive layer, preferably with a layer thickness of less than 20 nm by means of an electron beam or ion-beam-induced depositioning plant comprises, as the step 1, the selecting at least one deposition specific setting parameter to be optimized, such as an electron or ion beam parameters, the depositioning plant, wherein, if necessary, at least a further setting parameters of the depositioning plant is kept constant; as a step 2, the determination of a plurality of parameter values of the at least one setting parameter for defining a first generation parameter value population; in the form of step 3, the depositing a layer for each parameter value of the first generation parameter value population by means of the depositioning plant; as a step 4, the determination of an electrical parameter for each layer of each parameter value of the first generation parameter value population; as a step 5, the use of a genetic algorithm, which is a optimization assessment of the determined electrical characteristics with respect to a predetermined electrical target characteristic value and on the basis of the optimization assessment a further parameter value population second generation; and determined as a step 6, the repeating the steps of 3 to 5, under the accordance with the use of the parameter values of the second or, if appropriate, a further generation, to the electrical target characteristic value is reached or of the genetic algorithm for the as the last predetermined generation is completed.
机译:一种用于优化沉积工艺的方法,该方法用于通过电子束或离子束诱导的沉积设备来生产优选厚度小于20 nm的导电层,该方法包括,作为步骤1,至少选择待优化的一个沉积特定设置参数,例如电子或离子束参数,该沉积设备,其中,如果需要,该沉积设备的至少另一个设置参数保持恒定;作为步骤2,确定用于定义第一生成参数值群的至少一个设置参数的多个参数值;以步骤3的形式,通过沉积设备为第一代参数值总体的每个参数值沉积一层;作为步骤4,确定第一代参数值总体的每个参数值的每一层的电参数;作为步骤5,使用遗传算法,该遗传算法是相对于预定的电目标特性值对所确定的电特性的优化评估,并且在该优化评估的基础上,进一步生成第二代参数值;并根据第二个参数值的使用(或如果合适的话进一步生成)达到电气目标特征值或通过遗传来确定步骤3,重复步骤3至5最后预定生成的算法完成。

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