Patents by Inventor Bradley Rupp
Bradley Rupp has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20240091727Abstract: Systems for hydrocarbon pyrolysis are provided, which may comprise a reactor configured to contain a liquid metal; a heater operably coupled to the reactor to form a heating zone; a cooler operably coupled to the reactor to form a cooling zone; a gas delivery assembly comprising an inlet and configured to deliver a feed gas comprising a hydrocarbon as a plurality of bubbles through the liquid metal; an outlet configured to deliver a product gas to a separation assembly, the product gas formed from pyrolysis of the hydrocarbon in the liquid metal, the product gas comprising H2 and carbon; and the separation assembly configured to separate the carbon from other components of the product gas. The reactor is configured to entrain the carbon from pyrolysis of the hydrocarbon in the liquid metal into the product gas without accumulating the carbon in the interior chamber during pyrolysis.Type: ApplicationFiled: September 15, 2022Publication date: March 21, 2024Inventors: Jin Ki Hong, Bradley Rupp, Mary W. Louie, Dane Andrew Boysen, Jessica de Paula Tadeu Medrado
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Publication number: 20240036534Abstract: Control loop latency can be accounted for in predicting positions of micro-objects being moved by using a hybrid model that includes both at least one physics-based model and machine-learning models. The models are combined using gradient boosting, with a model created during at least one of the stages being fitted based on residuals calculated during a previous stage based on comparison to training data. The loss function for each stage is selected based on the model being created. The hybrid model is evaluated with data extrapolated and interpolated from the training data to prevent overfitting and ensure the hybrid model has sufficient predictive ability. By including both physics-based and machine-learning models, the hybrid model can account for both deterministic and stochastic components involved in the movement of the micro-objects, thus increasing the accuracy and throughput of the micro-assembly.Type: ApplicationFiled: September 6, 2023Publication date: February 1, 2024Inventors: Anne Plochowietz, Anand Ramakrishnan, Warren Jackson, Lara S. Crawford, Bradley Rupp, Sergey Butylkov, Jeng Ping Lu, Eugene M. Chow
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Publication number: 20230416082Abstract: A method of producing hydrogen may include: providing a catalyst-carbon gel; and flowing a hydrocarbon through a catalyst, wherein catalyst is a metal or mixture of metals that is non-wetting to solid carbon at 1 bar absolute and 10° C. above a melting point of the metal or mixture of metals.Type: ApplicationFiled: June 28, 2022Publication date: December 28, 2023Applicant: Palo Alto Research Center IncorporatedInventors: Bradley RUPP, Mary LOUIE, Jin Ki HONG, Dane BOYSEN
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Patent number: 11772964Abstract: Disclosed are methods and systems of controlling the placement of micro-objects on the surface of a micro-assembler. Control patterns may be used to cause electrodes of the micro-assembler to generate dielectrophoretic (DEP) and electrophoretic (EP) forces which may be used to manipulate, move, position, or orient one or more micro-objects on the surface of the micro-assembler. The control patterns may be part of a library of control patterns.Type: GrantFiled: February 4, 2022Date of Patent: October 3, 2023Assignee: Xerox CorporationInventors: Anne Plochowietz, Bradley Rupp, Jengping Lu, Julie A. Bert, Lara S. Crawford, Sourobh Raychaudhuri, Eugene M. Chow, Matthew Shreve, Sergey Butylkov
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Patent number: 11762348Abstract: Control loop latency can be accounted for in predicting positions of micro-objects being moved by using a hybrid model that includes both at least one physics-based model and machine-learning models. The models are combined using gradient boosting, with a model created during at least one of the stages being fitted based on residuals calculated during a previous stage based on comparison to training data. The loss function for each stage is selected based on the model being created. The hybrid model is evaluated with data extrapolated and interpolated from the training data to prevent overfitting and ensure the hybrid model has sufficient predictive ability. By including both physics-based and machine-learning models, the hybrid model can account for both deterministic and stochastic components involved in the movement of the micro-objects, thus increasing the accuracy and throughput of the micro-assembly.Type: GrantFiled: May 21, 2021Date of Patent: September 19, 2023Assignee: XEROX CORPORATIONInventors: Anne Plochowietz, Anand Ramakrishnan, Warren Jackson, Lara S. Crawford, Bradley Rupp, Sergey Butylkov, Jeng Ping Lu, Eugene M. Chow
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Patent number: 11673800Abstract: Disclosed are methods and systems of controlling the placement of micro-objects on the surface of a micro-assembler. Control patterns may be used to cause electrodes of the micro-assembler to generate dielectrophoretic (DEP) and electrophoretic (EP) forces which may be used to manipulate, move, position, or orient one or more micro-objects on the surface of the micro-assembler. The control patterns may be part of a library of control patterns.Type: GrantFiled: February 2, 2022Date of Patent: June 13, 2023Assignee: Palo Alto Research Center IncorporatedInventors: Anne Plochowietz, Bradley Rupp, Jengping Lu, Julie A. Bert, Lara S. Crawford, Sourobh Raychaudhuri, Eugene M. Chow, Matthew Shreve, Sergey Butylkov
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Publication number: 20220382227Abstract: Control loop latency can be accounted for in predicting positions of micro-objects being moved by using a hybrid model that includes both at least one physics-based model and machine-learning models. The models are combined using gradient boosting, with a model created during at least one of the stages being fitted based on residuals calculated during a previous stage based on comparison to training data. The loss function for each stage is selected based on the model being created. The hybrid model is evaluated with data extrapolated and interpolated from the training data to prevent overfitting and ensure the hybrid model has sufficient predictive ability. By including both physics-based and machine-learning models, the hybrid model can account for both deterministic and stochastic components involved in the movement of the micro-objects, thus increasing the accuracy and throughput of the micro-assembly.Type: ApplicationFiled: May 21, 2021Publication date: December 1, 2022Inventors: Anne Plochowietz, Anand Ramakrishnan, Warren Jackson, Lara S. Crawford, Bradley Rupp, Sergey Butylkov, Jeng Ping Lu, Eugene M. Chow
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Publication number: 20220153575Abstract: Disclosed are methods and systems of controlling the placement of micro-objects on the surface of a micro-assembler. Control patterns may be used to cause electrodes of the micro-assembler to generate dielectrophoretic (DEP) and electrophoretic (EP) forces which may be used to manipulate, move, position, or orient one or more micro-objects on the surface of the micro-assembler. The control patterns may be part of a library of control patterns.Type: ApplicationFiled: February 2, 2022Publication date: May 19, 2022Inventors: Anne Plochowietz, Bradley Rupp, Jengping Lu, Julie A. Bert, Lara S. Crawford, Sourobh Raychaudhuri, Eugene M. Chow, Matthew Shreve, Sergey Butylkov
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Publication number: 20220153576Abstract: Disclosed are methods and systems of controlling the placement of micro-objects on the surface of a micro-assembler. Control patterns may be used to cause electrodes of the micro-assembler to generate dielectrophoretic (DEP) and electrophoretic (EP) forces which may be used to manipulate, move, position, or orient one or more micro-objects on the surface of the micro-assembler. The control patterns may be part of a library of control patterns.Type: ApplicationFiled: February 4, 2022Publication date: May 19, 2022Inventors: Anne Plochowietz, Bradley Rupp, Jengping Lu, Julie A. Bert, Lara S. Crawford, Sourobh Raychaudhuri, Eugene M. Chow, Matthew Shreve, Sergey Butylkov
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Patent number: 11242244Abstract: Disclosed are methods and systems of controlling the placement of micro-objects on the surface of a micro-assembler. Control patterns may be used to cause electrodes of the micro-assembler to generate dielectrophoretic (DEP) and electrophoretic (EP) forces which may be used to manipulate, move, position, or orient one or more micro-objects on the surface of the micro-assembler. The control patterns may be part of a library of control patterns.Type: GrantFiled: December 31, 2018Date of Patent: February 8, 2022Assignee: Palo Alto Research Center IncorporatedInventors: Anne Plochowietz, Bradley Rupp, Jengping Lu, Julie A. Bert, Lara S. Crawford, Sourobh Raychaudhuri, Eugene M. Chow, Matthew Shreve, Sergey Butylkov
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Patent number: 11148941Abstract: Disclosed are methods and systems of controlling the placement of micro-objects on the surface of a micro-assembler. Control patterns may be used to cause phototransistors or electrodes of the micro-assembler to generate dielectrophoretic (DEP) and electrophoretic (EP) forces which may be used to manipulate, move, position, or orient one or more micro-objects on the surface of the micro-assembler.Type: GrantFiled: December 31, 2018Date of Patent: October 19, 2021Assignee: Palo Alto Research Center IncorporatedInventors: Anne Plochowietz, Eugene M. Chow, Jengping Lu, Julie A. Bert, David K. Biegelsen, Bradley Rupp, Sourobh Raychaudhuri
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Publication number: 20200207615Abstract: Disclosed are methods and systems of controlling the placement of micro-objects on the surface of a micro-assembler. Control patterns may be used to cause phototransistors or electrodes of the micro-assembler to generate dielectrophoretic (DEP) and electrophoretic (EP) forces which may be used to manipulate, move, position, or orient one or more micro-objects on the surface of the micro-assembler.Type: ApplicationFiled: December 31, 2018Publication date: July 2, 2020Inventors: Anne Plochowietz, Eugene M. Chow, Jengping Lu, Julie A. Bert, David K. Biegelsen, Bradley Rupp, Sourobh Raychaudhuri
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Publication number: 20200207617Abstract: Disclosed are methods and systems of controlling the placement of micro-objects on the surface of a micro-assembler. Control patterns may be used to cause electrodes of the micro-assembler to generate dielectrophoretic (DEP) and electrophoretic (EP) forces which may be used to manipulate, move, position, or orient one or more micro-objects on the surface of the micro-assembler. The control patterns may be part of a library of control patterns.Type: ApplicationFiled: December 31, 2018Publication date: July 2, 2020Inventors: Anne Plochowietz, Bradley Rupp, Jengping Lu, Julie A. Bert, Lara S. Crawford, Sourobh Raychaudhuri, Eugene M. Chow, Matthew Shreve, Sergey Butylkov
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Patent number: 10589248Abstract: One embodiment provides a chemical reactor, which can comprise a substrate for facilitating chemical reactions occurring at triple-phase boundaries. One possible substrate may further comprise a set of dynamically controllable sites and/or pixels upon which control signals may affect a desired formation of gas bubbles over an active catalytic (or other desired) solid surface in a liquid flow—wherein a chemical reaction in two or more phase boundaries may occur. In yet another embodiment, a control algorithm may send control signals to controllable sites/pixels to maximize the operation of the reactor according to a desired metric (e.g., product formation) that may input a set of sensor data to affect its control.Type: GrantFiled: June 30, 2019Date of Patent: March 17, 2020Assignees: Palo Alto Research Center Incorporated, Xerox CorporationInventors: Sean Doris, Warren Jackson, Naveen Chopra, Bradley Rupp, Robert Street
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Patent number: 7630944Abstract: A method for consensus decision making in a distributed system. Upon the detection of a system parameter change, the method specifies the communication of decision premises from one node to another node in the system. Consensus decision premises are determined by evaluating the various node premises. Each node then executes a choice function, allowing the system as a whole to respond to the system parameter change in either a centralized, decentralized, or independently coordinated fashion.Type: GrantFiled: August 9, 2006Date of Patent: December 8, 2009Assignee: Novell, Inc.Inventors: Bradley Rupp, Ryan Okelberry, Robert Wipful, Richard Jones
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Publication number: 20070233626Abstract: A method for consensus decision making in a distributed system. Upon the detection of a system parameter change, the method specifies the communication of decision premises from one node to another node in the system. Consensus decision premises are determined by evaluating the various node premises. Each node then executes a choice function, allowing the system as a whole to respond to the system parameter change in either a centralized, decentralized, or independently coordinated fashion.Type: ApplicationFiled: August 9, 2006Publication date: October 4, 2007Applicant: NOVELL, INC.Inventors: Bradley Rupp, Ryan Okelberry, Robert Wipful, Richard Jones