Applied Materials, Inc.

Insyst Ltd.

Turbulent Technologies Ltd.

Solaris Synergy (Israel) Ltd.

Yuri Kokotov

Yossi Fisher

Jacques Seror

Efim Entin

Arulkumar P Shanmugasundram

Alexander T Schwarm

Jehuda Hartman

Moshe Sarfaty

Young Jeen Paik

Shalomo Sarel

Roman Sheinman

Eyal Brill

Leonid Braginsky

Shlomo Caine

A coalescence method and related system are disclosed herein. A multiphase dispersion feed comprising first and second liquids (i.e. where droplets of the first liquid (dispersed phase) are dispersed in the second liquid (continuous phase)) is passed through a static mechanical droplet-coalescer comprising a channel characterized by a plurality of in-series segments, each segment characterized by a segment-specific-characteristic obstacle size and having geometric features disclosed herein. In embodiments of the invention, the static mechanical droplet-coalescer promotes coalescence between droplets of first liquid to form larger droplets of first liquid. Subsequently, after the dispersion exits the coalescer, the larger droplets are easier to remove from the second liquid (continuous phase) than the smaller droplets that coalesced into the larger droplets.

Static coalescer, system and method therefor

A system and method are disclosed for mixing a suspension. The suspension may optionally have a low liquid viscosity. The suspension may, optionally, include a metallurgy solvent extraction (SX) mixture. The system and method may be at an industrial scale. In some embodiments, suspension may be stirred at high energy dissipation rate with a large impeller. The system may optionally include baffles. The impellor and/or the baffles may optionally include a rounded edge. The method may be applied to retrofitting a SX plant. The input feed to a mixing reactor may include an emulsion and/or multiple discrete phases.

Mixing method and device for solvent extraction, especially in hydrometallurgical processes

Provided herein is a floating photovoltaic solar device designed to reduce the effect of wind forces without the use of external control or power. The device includes a floating anchored frame with a means for connecting an internal corded lattice; a corded lattice suspended within the floating frame and forming a set of polygonal cells in which independently floating solar photovoltaic modules are positioned. Access for scheduled and unscheduled maintenance may be provided by a floating service gantry. The system is modular and several devices may be connected in a honeycomb-like structure.

Corded lattice based floating photovoltaic solar field with independently floating solar modules

A method, system, and medium of modeling and/or for controlling a manufacturing process is disclosed. The method includes the steps of identifying one or more input parameters that cause a change in output characteristics, defining global nodes using estimated maximum and minimum values of the input parameters, and defining a mathematical equation that calculates a predicted output characteristic for each node. The method also includes the steps of receiving at least one empirical data point having one or more input parameter values and at least one empirical output value and adjusting the predicted output values at the nodes based on a difference between the at least one empirical output value and the predicted output characteristic calculated using the mathematical equation based on the one or more input parameter values.

Method, system and medium for controlling manufacturing process using adaptive models based on empirical data

A method, system, and medium of modeling and/or for controlling a manufacturing process is disclosed. In particular, a method according to embodiments of the present invention includes calculating a set of predicted output values, and obtaining a prediction model based on a set of input parameters, the set of predicted output values, and empirical output values. Each input parameter causes a change in at least two outputs. The method also includes optimizing the prediction model by minimizing differences between the set of predicted output values and the empirical output values, and adjusting the set of input parameters to obtain a set of desired output values to control the manufacturing apparatus. Obtaining the prediction model includes transforming the set of input parameters into transformed input values using a transformation function of multiple coefficient values, and calculating the predicted output values using the transformed input values.

Method, system and medium for controlling manufacture process having multivariate input parameters

An apparatus for the analysis of a process having parameter-based faults includes: a parameter value inputter configured for inputting values of at least one process parameter, a fault detector, configured for detecting the occurrence of a fault, a learning file creator associated with the parameter value inputter and the fault detector, configured for separating the input values into a first learning file and a second learning file, the first learning file comprising input values from a collection period preceding each of the detected faults, and the second learning file comprising input values input outside the collection periods, and a learning file analyzer associated with the learning file creator, configured for performing a separate statistical analysis of the first and second learning files, thereby to assess a process status.

Apparatus and method for the analysis of a process having parameter-based faults

A method, system, and medium of modeling and/or for controlling a manufacturing process is disclosed. In particular, a method according to embodiments of the present invention includes the step of identifying one or more input parameters. Each input parameter causes a change in at least two outputs. The method also includes the step of storing values of the identified inputs and corresponding empirical output values along with predicted output values. The predicted output values are calculated based on, in part, the values of the identified inputs. The method also includes the step of calculating a set of transform coefficients by minimizing a score equation that is a function of differences between one or more of the empirical output values and their corresponding predicted output values. The method further includes the steps of receiving a new set of values for the identified inputs, transforming the new set of values for the identified input using the set of coefficients, and calculating a set of predicted output values using the transformed input values.

A system, method and medium of controlling a semiconductor manufacturing tool using a feedback control mechanism. The feedback control mechanism includes features for receiving data points relating to an output of the tool. The data points include a current data point and at least one previous data point. The feedback control mechanism also includes features for determining whether the current data point is an erroneous outlier by comparing the current data point to a statistical representation of the at least one previous data point, and based on whether the at least one previous data point is an outlier. The feedback control mechanism further includes features for disregarding the current data point in calculating a feedback value of the feedback control mechanism if the current data point is determined as an erroneous outlier.

Method, system, and medium for handling misrepresentative metrology data within an advanced process control system

Apparatus for control of a complex process, said process being described by a plurality of input variables, a plurality of intermediate variables and a plurality of output variables having relationships therebetween such that ones of said inputs and said intermediate variables effect respectively different output variables, each of said output variables having a target, said apparatus comprising an optimizer for finding an optimum value for respective ones of said input and intermediate variables to maximize a summed convergence of said output variables to said targets.

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Maaleh Adumim, Israel

Yuri Kokotov