Abstract: A semiconductor device includes a gate structure on a substrate, a spacer around the gate structure, and a buffer layer adjacent to the gate structure. Preferably, the buffer layer includes a crescent moon shape and the buffer layer includes an inner curve, an outer curve, and a planar surface connecting the inner curve and an outer curve along a top surface of the substrate, in which the planar surface directly contacts the outer curve on an outer sidewall of the spacer.

Abstract: A high voltage transistor structure including a substrate, a first isolation structure, a second isolation structure, a gate structure, a first source and drain region, and a second source and drain region is provided. The first isolation structure and the second isolation structure are disposed in the substrate. The gate structure is disposed on the substrate, at least a portion of the first isolation structure, and at least a portion of the second isolation structure. The first source and drain region and the second source and drain region are located in the substrate on two sides of the first isolation structure and the second isolation structure. The depth of the first isolation structure is greater than the depth of the second isolation structure.

Abstract: A semiconductor device includes a single diffusion break (SDB) structure dividing a fin-shaped structure into a first portion and a second portion, an isolation structure on the SDB structure, a first spacer adjacent to the isolation structure, a metal gate adjacent to the isolation structure, a shallow trench isolation (STI around the fin-shaped structure, and a second isolation structure on the STI. Preferably, a top surface of the first spacer is lower than a top surface of the isolation structure and a bottom surface of the first spacer is lower than a bottom surface of the metal gate.

Abstract: A method for fabricating semiconductor device includes the steps of: forming a gate structure on a substrate; forming a spacer around the gate structure; and forming a buffer layer adjacent to the gate structure. Preferably, the buffer layer includes a crescent moon shape and the buffer layer includes an inner curve, an outer curve, and a planar surface connecting the inner curve and an outer curve along a top surface of the substrate, in which the planar surface directly contacts the outer curve on an outer sidewall of the spacer.

Abstract: An n-type metal oxide semiconductor transistor includes a gate structure, two source/drain regions, two amorphous portions and a silicide. The gate structure is disposed on a substrate. The two source/drain regions are disposed in the substrate and respectively located at two sides of the gate structure, wherein at least one of the source/drain regions is formed with a dislocation. The two amorphous portions are respectively disposed in the two source/drain regions. The silicide is disposed on the two source/drain regions, wherein at least one portion of the silicide overlaps the two amorphous portions.

Abstract: A recipe construction system, a recipe construction method, a computer readable recording media with stored programs, and a non-transitory computer program product are provided. A dimension reduction module obtains dimension-reduced composition information according to composition information of each piece of historical recipe information and a dimension reduction algorithm. A neural network module obtains a plurality of trained neural network parameters according to the composition information and the dimension reduction composition information. The neural network module obtains dimension-reduced initial composition information according to the trained neural network parameters and initial composition information. A search module searches the historical recipe information for a first quantity of pieces of candidate recipe information.

Abstract: A recipe construction system, a recipe construction method, a computer readable recording media with stored programs, and a non-transitory computer program product are provided. A dimension reduction module obtains dimension-reduced composition information according to composition information of each piece of historical recipe information and a dimension reduction algorithm. A neural network module obtains a plurality of trained neural network parameters according to the composition information and the dimension reduction composition information. The neural network module obtains dimension-reduced initial composition information according to the trained neural network parameters and initial composition information. A search module searches the historical recipe information for a first quantity of pieces of candidate recipe information.