Abstract:
A method for designing a semiconductor layout structure includes following steps. A first active feature group including at least a first active feature is received, and the first active feature includes a first channel length. A pair of first dummy features is introduced to form a first cell pattern. The first dummy features include a first dummy width. A first spacing width is defined between the first active feature group and one of the first dummy features and a third spacing width is defined between the first active feature group and the other first dummy feature. The first cell pattern includes a first cell width and a first poly pitch, and the first cell width is a multiple of the first pitch. The receiving of the first active feature group and the introducing of the first dummy features are performed in by at least a computer-aided design tool.
Abstract:
A semiconductor device comprises a semiconductor substrate and a semiconductor fin. The semiconductor substrate has an upper surface and a recess extending downwards into the semiconductor substrate from the upper surface. The semiconductor fin is disposed in the recess and extends upwards beyond the upper surface, wherein the semiconductor fin is directly in contact with semiconductor substrate, so as to form at least one semiconductor hetero-interface on a sidewall of the recess.
Abstract:
A semiconductor structure including a semiconductor substrate and at least a fin structure formed thereon. The semiconductor substrate includes a first semiconductor material. The fin structure includes a first epitaxial layer and a second epitaxial layer formed between the first epitaxial layer and the semiconductor substrate. The first epitaxial layer includes the first semiconductor material and a second semiconductor material. A lattice constant of the second semiconductor material is different from a lattice constant of the first semiconductor material. The second epitaxial layer includes the first semiconductor material and the second semiconductor material. The second epitaxial layer further includes conductive dopants.
Abstract:
A gate structure is provided. The gate structure includes a substrate, a gate disposed on the substrate and a gate dielectric layer disposed between the substrate and the gate, wherein the gate dielectric layer is in the shape of a barbell. The barbell has a thin center connecting to two bulging ends. Part of the bulging ends extends into the gate and the substrate.
Abstract:
A planar design to non-planar design conversion method includes following steps. At least a diffusion region pattern including a first side and a second side perpendicular to each other is received. A look-up table is queried to obtain a first positive integer according to the first side of the diffusion region pattern and a second positive integer according to the second side of the diffusion region pattern. Then, a plurality of fin patterns is formed. An amount of the fin patterns is equal to the second positive integer. The fin patterns respectively include a first fin length, and the first fin length is a product of the first positive integer and a predetermined value. The forming is performed by at least a computer-aided design (CAD) tool.
Abstract:
A manipulating method of a nonvolatile memory is provided and comprises following steps. The nonvolatile memory having a plurality of memory cell is provided. Two adjacent memory cells correspond to one bit and comprise a substrate, a first and another first doping regions, a second doping region, a charge trapping layer, a control gate, a first bit line, a source line and a second bit line different from the first bit line. A first and a second channel are formed. The charge trapping layer is disposed on the first and the second channels. The two adjacent memory cells are programmed by following steps. A first positive and negative voltages are applied to the control gate between the first and the second doping regions and the control gate between the second and the another first doping regions, respectively. A first voltage is applied to the source line.
Abstract:
A method for manufacturing a non-volatile memory structure includes providing a substrate having a memory region and a logic region defined thereon, masking the logic region while forming at least a first gate in the memory region, forming an oxide-nitride-oxide (ONO) structure under the first gate, forming an oxide structure covering the ONO structure on the substrate, masking the memory region while forming a second gate in the logic region, and forming a first spacer on sidewalls of the first gate and a second spacer on sidewalls of the second gate simultaneously.
Abstract:
A method for forming an integrated circuit layout including at least two standard cells having different cell heights is disclosed. The standard cells respectively have a well boundary to divide a PMOS region and an NMOS region. The standard cells are abutted side by side along their side edges in a way that the well boundaries of the cells are aligned along the row direction. The power rail and the ground rail of one of the standard cells are shifted to align and connect to the power rail and the ground rail of the other one of the standard cells.
Abstract:
A training apparatus and a training method for providing a sample size expanding model are provided. A normalizing unit receives a training data set with at least one numeric predictor factor and a numeric response factor. An encoding unit trains the training data set in an initial encoding layer and at least one deep encoding layer. A modeling unit extracts a mean vector and a variance vector and inputting the mean vector and the variance vector together into a latent hidden layer for obtaining the sample size expanding model. A decoding unit trains the training data set in at least one deep decoding layer and a last encoding layer. A verifying unit performs a verification of the sample size expanding model according to the outputting data set. A data generating unit generates a plurality of samples via the sample size expanding model.
Abstract:
A method for analyzing a process output and a method for creating an equipment parameter model are provided. The method for analyzing the process output includes the following steps: A plurality of process steps are obtained. A processor obtains a step model set including a plurality of first step regression models, each of which represents a relationship between N of the process steps and a process output. The processor calculates a correlation of each of the first step regression models. The processor picks up at least two of the first step regression models to be a plurality of second step regression models whose correlations are ranked at top among the correlations of the first step regression models. The processor updates the step model set by a plurality of third step regression models, each of which represents a relationship between M of the process steps and the process output.