A semiconductor device including a standard cell for implementing a logic element includes a first active region and a second active region extending in a second direction on a substrate and spaced apart from each other in a first direction perpendicular to the second direction, gate electrodes intersecting the first active region and the second active region, and source regions and drain regions formed on the first and second active regions at both sides of each of the gate electrodes. A boundary of the standard cell has a polygonal shape, excluding a quadrilateral shape, when viewed in a plan view. As a result, an area of the standard cell may be reduced to reduce a size of the semiconductor device.

A semiconductor integrated circuit device using nanowire FETs has a circuit block in which a plurality of cell rows each including a plurality of standard cells lined up in the X direction are placed side by side in the Y direction. The plurality of standard cells each include a plurality of nanowires that extend in the X direction and are placed at a predetermined pitch in the Y direction. The plurality of standard cells have a cell height, that is a size in the Y direction, M times (M is an odd number) as large as half the pitch of the nanowires.

Electronic design automation (EDA) of the present disclosure, in various embodiments, optimizes designing, simulating, analyzing, and verifying of one or more electronic architectural designs for an electronic device. The EDA of the present disclosure identifies one or more electronic architectural features from the one or more electronic architectural designs. In some situations, the EDA of the present disclosure can manipulate one or more electronic architectural models over multiple iterations using a machine learning process until one or more electronic architectural models from among the one or more electronic architectural models satisfy one or more electronic design targets. The EDA of the present disclosure substitutes the one or more electronic architectural models that satisfy the one or more electronic design targets for the one or more electronic architectural features in the one or more electronic architectural designs to optimize the one or more electronic architectural designs. The EDA of the present disclosure can substitute the one or more electronic architectural models before, during, and/or after designing, simulating, analyzing, and/or verifying of the one or more electronic architectural designs to effectively decrease the time to market (TTM) for the electronic device.

A semiconductor structure includes a first cell and a second cell. The second cell vertically abuts the first cell. Each first cell has a plurality of first active regions. Each first active region has a first vertical height. Each second cell has a plurality of second active regions. Each second active region has a second vertical height. The second vertical height is different from the first vertical height.

Electronic design automation (EDA) of the present disclosure, in various embodiments, optimizes designing, simulating, analyzing, and verifying of one or more electronic architectural designs for an electronic device. The EDA of the present disclosure identifies one or more electronic architectural features from the one or more electronic architectural designs. In some situations, the EDA of the present disclosure can manipulate one or more electronic architectural models over multiple iterations using a machine learning process until one or more electronic architectural models from among the one or more electronic architectural models satisfy one or more electronic design targets. The EDA of the present disclosure substitutes the one or more electronic architectural models that satisfy the one or more electronic design targets for the one or more electronic architectural features in the one or more electronic architectural designs to optimize the one or more electronic architectural designs. The EDA of the present disclosure can substitute the one or more electronic architectural models before, during, and/or after designing, simulating, analyzing, and/or verifying of the one or more electronic architectural designs to effectively decrease the time to market (TTM) for the electronic device.

Electronic design automation (EDA) of the present disclosure, in various embodiments, optimizes designing, simulating, analyzing, and verifying of one or more electronic architectural designs for an electronic device. The EDA of the present disclosure identifies one or more electronic architectural features from the one or more electronic architectural designs. In some situations, the EDA of the present disclosure can manipulate one or more electronic architectural models over multiple iterations using a machine learning process until one or more electronic architectural models from among the one or more electronic architectural models satisfy one or more electronic design targets. The EDA of the present disclosure substitutes the one or more electronic architectural models that satisfy the one or more electronic design targets for the one or more electronic architectural features in the one or more electronic architectural designs to optimize the one or more electronic architectural designs. The EDA of the present disclosure can substitute the one or more electronic architectural models before, during, and/or after designing, simulating, analyzing, and/or verifying of the one or more electronic architectural designs to effectively decrease the time to market (TTM) for the electronic device.

A semiconductor integrated circuit device using nanowire FETs has a circuit block in which a plurality of cell rows each including a plurality of standard cells lined up in the X direction are placed side by side in the Y direction. The plurality of standard cells each include a plurality of nanowires that extend in the X direction and are placed at a predetermined pitch in the Y direction. The plurality of standard cells have a cell height, that is a size in the Y direction, M times (M is an odd number) as large as half the pitch of the nanowires.

Middle-of-line (MOL) complementary power rail(s) in integrated circuits (ICs) for reduced semiconductor device resistance, and related methods are disclosed. In exemplary aspects, to reduce or mitigate an increase in resistance in the cell power rails in the IC, a complementary power rail(s) is formed in a MOL layer(s) of the IC and coupled to cell power rail(s) formed in a metal layer in a front-end-of-line (FEOL) layer in the IC. In exemplary aspects, the MOL layer(s) in which the complementary power rail is formed is in a layer below the metal layer in the FEOL layer in which the cell power rail is formed. The complementary power rail has the effect of reducing the resistance of the cell power rail, and thus has the effect of reducing the resistance of FET(s) coupled to the cell power rail thereby increasing performance.

A cell layout includes a first cell having a plurality of first poly lines extending along a first direction, a second cell having a plurality of second poly lines extending along the first direction, and a boundary cell contiguous with the first cell. The first poly lines have a first uniform poly pitch and the second poly lines have a second uniform poly pitch. The second uniform poly pitch is smaller than the first uniform poly pitch. The boundary cell includes n stripes of first dummy poly lines and m stripes of second dummy poly lines extending along the first direction. The first dummy poly lines have the first uniform poly pitch and the second dummy poly lines have the second uniform pitch.

Provided is a semiconductor device including a substrate with first, second, and third logic cells, active patterns provided in each of the first to third logic cells to protrude from the substrate, and gate structures crossing the active patterns. The second and third logic cells are spaced apart from each other in a first direction with the first logic cell interposed therebetween. The active patterns are arranged in the first direction and extend in a second direction crossing the first direction. When measured in the first direction, a distance between the closest adjacent pair of the active patterns with each in the first and second logic cells respectively is different from that between the closest pair of the active patterns with each in the first and third logic cells respectively.