Grt, Inc.

University of California

Symyx Technologies, Inc.

Synyx Technologies, Inc.

Dieter J Schaefer

Eric W McFarland

Jeffrey H Sherman

Galen D Stucky

Ivan Marc Lorkovic

Peter C Ford

Michael J Weiss

Leroy E Laverman

Shouli Sun

Thomas R Boussie

Philip Grosso

Marc D Hornbostel

William B Archibald

Thomas Crevier

Michael Francis Doherty

Ashley W Breed

Ashley W Rreed

Improvements in previously disclosed methods of and apparatuses for converting alkanes, alkenes, and aromatics to olefins, alcohols, ethers, and aldehydes includes: safety improvements, use of alternative feedstocks, process simplification, improvements to the halogenation step, improvements to the reproportionation step, improvements to the solid oxide reaction, improvements to solid oxide regeneration, improvements in separations, maintenance, start-up, shut-down, and materials of construction.

Hydrocarbon conversion process improvements

A reactant selected from the group consisting of alkanes, alkenes, alkynes, dienes, and aromatics is reacted with a halide selected from the group including chlorine, bromine, and iodine to form a first reaction product. The first reaction product is reacted with a solid oxidizer to form a product selected from the group including olefins, alcohols, ethers, and aldehydes, and spent oxidizer. The spent oxidizer is oxidized to form the original solid oxidizer and the second reactant which are recycled.

Method and apparatus for synthesizing olefins, alcohols, ethers, and aldehydes

Computer programs and computer-implemented methods implement techniques for evaluating experimental data from a library of materials. The techniques receive a plurality of images of a library of materials that includes an array of members associated with locations in the library. User input identifying a plurality of regions of interest is received. A series of reduced data values is determined for one or more of the regions of interest as a statistical function of a plurality of pixel values for pixels in the corresponding regions. A figure of merit is calculated from one or more of the series of reduced data values for a library member at the corresponding library location. The regions of interest include a plurality of pixels in the images and correspond to locations in the library.

Analysis of chemical data from images

Computer programs and computer-implemented methods are disclosed for extracting and analyzing combinatorial chemical data from images. The invention receives a stream of data, identifies a plurality of regions of interest and determines a series of values for one or more regions of interest. The library includes a plurality of members. The data stream includes a series of images of the library. Each region of interest corresponds to a location in each of the images and to a location in the library. The series of values for each region includes a value for each of the images. Particular embodiments have the following features. The invention calculates a figure of merit for a library member from each series of values. The stream of data comprises a series of images generated at a frequency of greater than about 1, 6, 12 or 30 frames per second. The series of images is captured from a beginning of a combinatorial experiment to an end of a commercial experiment. The regions of interest are identified after the series of images has been captured. The images are infrared images. The figure of merit is an emittance change, a phase transition point or a thermoelectric figure of merit for a library member. Regions of interest are identified by a user and have a user-defined shape. The series of values for each region is determined based on a user-defined computation. A graphical representation of the figures of merit is displayed.

Growing community of inventors

Goleta, CA, United States of America

Dieter J Schaefer