Abstract: Doping techniques for fin-like field effect transistors (FinFETs) are disclosed herein. An exemplary method includes forming a fin structure, forming a doped amorphous layer over a portion of the fin structure, and performing a knock-on implantation process to drive a dopant from the doped amorphous layer into the portion of the fin structure, thereby forming a doped feature. The doped amorphous layer includes a non-crystalline form of a material. In some implementations, the knock-on implantation process crystallizes at least a portion of the doped amorphous layer, such that the portion of the doped amorphous layer becomes a part of the fin structure. In some implementations, the doped amorphous layer includes amorphous silicon, and the knock-on implantation process crystallizes a portion of the doped amorphous silicon layer.

Abstract: A method of manufacturing a positive electrode material has the steps of synthesizing an iron metal in a phosphoric acid solution to form an iron phosphate dispersion solution; adding a vanadium pentoxide (V2O5), a non-ionic surfactant and a carbon source to the iron phosphate dispersion solution; and adding a lithium salt to the iron phosphate dispersion solution and then grinding and dispersing it to produce a positive electrode material. By regulating the timing of the addition of vanadium pentoxide (V2O5), the present invention enables the battery made of the positive electrode material to have the advantage of higher battery performance.

Abstract: To assess the sufficiency of a plurality of machines for processing a number of items, machine availability information indicative of availability of the machines for processing the items, machine capacity information indicative of a capacity of each of the machines for processing the items, and machine preference information indicative of a preference of each of the machines for processing the items are obtained. A capacity constraint, such as an upper limit of items to be processed during a time interval, is determined based on the machine availability information, machine capacity information and machine preference information. At least some of the machines are allocated to process at least some of the items based on the machine availability information, machine capacity information and machine preference information, subject to the capacity constraint. The resulting rough-cut capacity plan may be used to balance available capacity against required capacity.

Abstract: To schedule the release of jobs from a pool of pending jobs, machine information and information about items to be processed are used to determine available machine capacity. Available machine capacity is allocated to jobs subject to multiple job release constraints. Allocation may be performed first for any pending jobs which were partially released during a previous time interval, and then to new jobs in decreasing order of determined job rank. If different operative constraints dictate different numbers of units of a job to be released, the minimum number of units meeting each constraint may be released. After the number of units to be released has been determined for a job, machine information is updated to account for available capacity consumed by the release of the selected number of units of the job. Updated information may be used for job release scheduling of the next job.