Flodesign Sonics, Inc.

Ibex Process Technology, Inc.

Agere Systems Inc.

Csts Health Care Inc.

Edward Rietman

Bart Lipkens

Jason Dionne

Jill P Card

Erik Cho Houge

John Martin McIntosh

Giannoula Lakka Klement

Jeff King

A method to select a protein target for therapeutic application includes accessing genomic information and protein-protein interaction (PPI) data, computing a thermodynamic measure for each protein node within the network of protein nodes, generating an energy landscape data corresponding to the network of protein nodes and the thermodynamic measure, generating a PPI subnetwork by applying a topological filtration to the energy landscape data of the PPI data, computing a first Betti number for the PPI subnetwork, sequentially removing a protein node(s) from the PPI subnetwork while replacing the previously removed node(s), computing a new Betti number for the PPI subnetwork with the protein node(s) removed, computing a change between the Betti numbers, and determining, based on the change between the Beti numbers, a most significant protein target within the PPI subnetwork.

Thermodynamic measures on protein-protein interaction networks for cancer therapy

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

Ultrasound and acoustophoresis for water purification

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.

High-volume fast separation of multi-phase components in fluid suspensions

Disclosed herein are systems and methods for desalination of salt water based on an engineered acoustic field that causes constructive and destructive interference at precomputed 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.

Phononic crystal desalination system and methods of use

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.

Combined acoustic micro filtration and phononic crystal membrane particle separation

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.

Ultrasonic agglomeration of microalgae

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.

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.

Large scale process control by driving factor identification

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.

Scalable, hierarchical control for complex processes

An integrated metrology and lithography/etch system and method ( ) for micro-electronics device manufacturing. A process control neural network ( ) is used to develop an estimated process control parameter ( ) for controlling an etching process ( ). The process control neural network is responsive to a multi-parameter characterization of a patterned resist feature MPC(PR) ( ) developed on a substrate. The process control parameter is used as a feed-forward control for the etching process to develop an actual final mask feature. A multi-parameter characterization of the actual final mask feature MPC(HM) ( ) is used as an input to a training neural network ( ) for mapping to an ideal process control parameter. The ideal process control parameter is compared to the estimated control parameter to develop an error parameter ( ), which is then used to train the process control neural network.

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Nashua, NH, United States of America

Edward Rietman