Abstract: Disclosed herein are systems and methods for desalination of salt water based on an engineered acoustic field that causes constructive and destructive interference at pre-computed spatial positions. The engineered acoustic field can cause high-pressure and low-pressure regions where desalination membranes are located. The induced pressure from the acoustic field can force pure water through the membranes leaving ionic and dissolved molecular species behind.

Abstract: Provided herein are systems and methods for separation of particulate from water using ultrasonically generated acoustic standing waves.

Abstract: A system is provided that includes one or more acoustic microfilters through which is flowed a mixture of a fluid and a particulate to selectively filter particles from the fluid. Also included are one or more phononic crystal units coupled to the acoustic microfilter(s) to further selectively filter particles from the fluid. Related apparatus, systems, techniques and articles are also described.

Abstract: Provided herein are systems and methods for separation of particulate from water using ultrasonically generated acoustic standing waves.

Abstract: A system is provided that includes one or more acoustic microfilters through which is flowed a mixture of a fluid and a particulate to selectively filter particles from the fluid. Also included are one or more phononic crystal units coupled to the acoustic microfilter(s) to further selectively filter particles from the fluid. Related apparatus, systems, techniques and articles are also described.

Abstract: A system is provided that includes one or more acoustic microfilters through which is flowed a mixture of a fluid and a particulate to selectively filter particles from the fluid. Also included are one or more phononic crystal units coupled to the acoustic microfilter(s) to further selectively filter particles from the fluid. Related apparatus, systems, techniques and articles are also described.

Abstract: Systems are provided with varying flow chamber configurations which acoustically agglomerate microorganisms such as algae for separation from a host fluid such as water. Related apparatus, systems, techniques and articles are also described.

Abstract: A flow chamber is provided through which is flowed a mixture of a fluid and a particulate. The flow chamber comprises at least one multi-phase water inlet through which multi-phase water enters the flow chamber, a water outlet through which water exits the flow chamber, a solids outlet through which particles having a density at or above a pre-defined threshold exit the flow chamber, and a low density outlet through which particles having a density below the pre-defined threshold exit the flow chamber. Also provided are one or more ultrasonic transducers and one or more reflectors corresponding to each transducer to acoustically filter the fluid and cause particles/fluid to be selectively diverted to one of the outlets. Related apparatus, systems, techniques and articles are also described.

Abstract: Disclosed herein are systems and methods for desalination of salt water based on an engineered acoustic field that causes constructive and destructive interference at pre-computed spatial positions. The engineered acoustic field can cause high-pressure and low-pressure regions where desalination membranes are located. The induced pressure from the acoustic field can force pure water through the membranes leaving ionic and dissolved molecular species behind.

Abstract: Several prototype systems are described for separating oil and water from emulsions. The systems operate at ultrasonic resonance and are thus low power. Each system contains one or more acoustic transducers operating in the 100 kHz to 5 MHz range. Each system contains flow input for the emulsion and two or more flow outputs for the separated oil and water. Existing prototypes operate from 200 mL/min to >15 L/min. Each uses low power in the range of 1-5 W.

Abstract: Provided herein are systems and methods for separation of particulate from water using ultrasonically generated acoustic standing waves.

Abstract: Systems and methods of complex process control utilize driving factor identification based on nonlinear regression models and process step optimization. In one embodiment, the invention provides a method for generating a system model for a complex process comprised of nonlinear regression models for two or more select process steps of the process where process steps are selected for inclusion in the system model based on a sensitivity analysis of an initial nonlinear regression model of the process to evaluate driving factors of the process.

Abstract: The present invention relates to methods for mining real-world databases that have mixed data types (e.g., scalar, binary, category, etc.) to extract an implicit time-sequence to the data and to utilize the extracted information to compute categories for the input data and to predict categorization of future input data vectors. Many real-world databases may not have explicit time data yet there may be inherent time data which may be extracted from the database itself. The present invention extracts such inherent time sequence data and utilizes it to classify the data vectors at each instant in time for purposes of categorizing the data at that time instant. The present invention has wide applicability and may find use in fields such as manufacturing, financial services, or government. In particular, the present invention may be used to identify potential threats, to predict the presence of a threat, and even to evaluate the degree of threat posed.

Abstract: The present invention provides a method and system for complex process optimization utilizing metrics, operational variables, or both, of one or more process steps and optimization of one or more of these process step parameters with respect to a cost function for the parameter. In one embodiment, the invention provides a scalable, hierarchical optimization method utilizing optimizations at one process level as inputs to an optimization of a higher or lower process level.

Abstract: Systems and methods of complex process control utilize driving factor identification based on nonlinear regression models and process step optimization. In one embodiment, the invention provides a method for generating a system model for a complex process comprised of nonlinear regression models for two or more select process steps of the process where process steps are selected for inclusion in the system model based on a sensitivity analysis of an initial nonlinear regression model of the process to evaluate driving factors of the process.

Abstract: The present invention provides a method and system for complex process optimization utilizing metrics, operational variables, or both, of one or more process steps and optimization of one or more of these process step parameters with respect to a cost function for the parameter. In one embodiment, the invention provides a scalable, hierarchical optimization method utilizing optimizations at one process level as inputs to an optimization of a higher or lower process level.

Abstract: The present invention provides a polishing apparatus comprising a carrier head, rigid members coupled to the carrier head at different points on the carrier head, and a controller coupled to each of the rigid members wherein the controller is configured to regulate forces applied against the carrier head through each of the rigid members.

Abstract: The present invention is predicated upon the fact that an emission trace from a plasma glow used in fabricating integrated circuits contains information about phenoma which cause variations in the fabrication process such as age of the plasma reactor, densities of the wafers exposed to the plasma, chemistry of the plasma, and concentration of the remaining material. In accordance with the present invention, a method for using neural networks to determine plasma etch end-point times in an integrated circuit fabrication process is disclosed. The end-point time is based on in-situ monitoring of the optical emission trace. The back-propagation method is used to train the network. More generally, a neural network can be used to regulate control variables and materials in a manufacturing process to yield an output product with desired quality attributes. An identified process signature which reflects the relation between the quality attribute and the process may be used to train the neural network.

Abstract: The use of neural networks has been employed to adjust processing during the fabrication of articles. For example, in the production of photolithographic masks by electron beam irradiation of a mask blank in a desired pattern, electrons scattered from the mask substrate cause distortion of the pattern. Adjustment for such scattering is possible during the manufacturing process by employing an adjustment function determined by a neural network whose parameters are established relative to a prototypical mask pattern.