Abstract: A 3D printing system and methods to selectively pattern dense feedstock based on selective inhibition sintering (SIS). A sintering selectivity agent (inhibitor or promoter) is selectively deposited on a build layer according to the pattern boundary. When the layers are built-up and the part is sintered, the inhibited region remains unbound, thus defining the edge of the part. The material contain powder embedded in cohesive binder that make the adjacent layer adhere together. The build process involves forming the sheets of dense feedstock embedded binder, followed by depositing ink to promote selective sintering onto the layer. Once the build is complete, the process continues with the binder removal, sintering and finishing processes.

Abstract: Ink-based digital printing systems useful for ink printing include a rotatable charge-retentive reimageable surface layer configured to receive a layer of fountain solution. The fountain solution is carried to the charge retentive surface by a fog or mist including fountain solution aerosol particles, dispersed gas particles, and charge directors that impart charge to the fountain solution aerosol particles. The charge-retentive reimageable surface may be charged to a uniform potential, and selectively discharged using an ROS according to image data to form an electrostatic latent image. The charged fountain solution adheres to portions of the charge-retentive reimageable surface according to the electrostatic latent image to form a fountain solution image thereon. The fountain solution image can be partially transferred to an imaging blanket, where the fountain solution image is inked. The resulting ink image may be transferred to a print substrate.

Abstract: 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. A set of micro-object may be analyzed. Geometric properties of the set of micro-objects may be identified. The set of micro-objects may be divided into multiple sub-sets of micro-objects based on the one or more geometric properties and one or more control patterns.

Abstract: System and method that allow utilize machine learning algorithms to move a micro-object to a desired position are described. A sensor such as a high speed camera or capacitive sensing, tracks the locations of the objects. A dynamic potential energy landscape for manipulating objects is generated by controlling each of the electrodes in an array of electrodes. One or more computing devices are used to: estimate an initial position of a micro-object using the sensor; generate a continuous representation of a dynamic model for movement of the micro-object due to electrode potentials generated by at least some of the electrodes and use automatic differentiation and Gauss quadrature rules on the dynamic model to derive optimum potentials to be generated by the electrodes to move the micro-object to the desired position; and map the calculated optimized electrode potentials to the array to activate the electrodes.

Abstract: 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.

Abstract: A 3D printing system and methods to selectively pattern dense feedstock based on selective inhibition sintering (SIS). A sintering selectivity agent (inhibitor or promoter) is selectively deposited on a build layer according to the pattern boundary. When the layers are built-up and the part is sintered, the inhibited region remains unbound, thus defining the edge of the part. The material contain powder embedded in cohesive binder that make the adjacent layer adhere together. The build process involves forming the sheets of dense feedstock embedded binder, followed by depositing ink to promote selective sintering onto the layer. Once the build is complete, the process continues with the binder removal, sintering and finishing processes.

Abstract: A printing system for producing at least one three dimensional (3D) printed part is described. The printing system includes a deposition system configured to continuously deposit a layer onto a cylinder to outwardly extend a diameter of the cylinder, wherein the layer comprises a first pattern. The printing system also includes a rotating system configured to rotate the cylinder, and a control system configured to synchronize the deposition system with the cylinder.

Abstract: A method of providing high-speed three dimensional (3D) printing is described. The method includes producing at least one three dimensional (3D) printed part. Producing the 3D part includes continuously constructing to extend outwardly a diameter of a rotating cylindrical core via continuous deposition of a layer, and defining a first pattern in the continuously deposited layer corresponding to a cross-section of the at least one 3D printed part.

Abstract: Ink-based digital printing systems useful for ink printing include a secondary roller having a rotatable reimageable surface layer configured to receive fountain solution. The fountain solution layer is patterned on the secondary roller and then partially transferred to an imaging blanket, where the fountain solution image is inked. The resulting ink image may be transferred to a print substrate. To achieve a very high-resolution (e.g., 1200-dpi, over 900-dpi) print with these secondary roller configurations, an equivalent very high-resolution fountain solution image needs to be transferred from the secondary roller onto the imaging blanket. To increase the resolution of the image on the secondary roller, examples include a textured surface layer added to the secondary roller for contact angle pinning the fountain solution on the roll. Approaches to introduce a micro-structure onto the surface layer of the secondary roller, and also superoleophobic surface coatings are described.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for constructing 3-dimensional (3D) parts are disclosed. A printing system may include a deposition system configured to print a plurality of 2-dimensional (2D) layers onto a plurality of carrier sheets. The printing system also includes a transferring system configured to transfer a 2D layer from a carrier sheet of the plurality of carrier sheets, onto the 3D part. The 3D part may be located on a base substrate. The printing system further includes a feed system configured to provide the plurality of carrier sheets from the deposition system to the transfer system in a successive fashion while maintaining the directionality of printing in the deposition and transferring systems.

Abstract: 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.

Abstract: Systems and methods for constructing 3-dimensional (3D) parts are disclosed. A printing system may include a deposition system configured to print a plurality of 2-dimensional (2D) layers onto a plurality of carrier sheets. The printing system also includes a transferring system configured to transfer a 2D layer from a carrier sheet of the plurality of carrier sheets, onto the 3D part. The 3D part may be located on a base substrate. The printing system further includes a feed system configured to provide the plurality of carrier sheets from the deposition system to the transfer system in a successive fashion while maintaining the directionality of printing in the deposition and transferring systems.

Abstract: Affinity sensors may exhibit advantaged regeneration behavior when pH is changed in proximity to a sensing element. Such affinity sensors may comprise at least one sensing element comprising a recognition moiety that interacts with an analyte by reversibly forming an analyte complex, and a solid-state pH-modulating element in proximity to the at least one sensing element, wherein formation of the analyte complex is pH-dependent and the at least one sensing element provides a signal that changes when the analyte complex reversibly forms, and a change in magnitude of the signal is correlatable to an amount of analyte interacted with the at least one sensing element.

Abstract: Methods and systems for measuring the temperature of a sample can include the use of one or more illumination sources and a sample containing thermochromic material. One or more detectors are operable to detect two or more signals indicative of a component of an illumination facilitated by the illumination source(s) and scattered at two or more angles with respect to the sample containing the thermochromic material, wherein the signals are converted to a temperature.

Abstract: A method of forming a porous structure involves mixing a solvent with a curable material which disperses in the solvent such that the mixture has greater than 50% solvent content. The mixture is deposited on a substrate and viscosity of the mixture is increased. The curable material in the mixture is cured while a shape of the curable material is maintained by the solvent. After curing, the solvent is removed from the structure.

Abstract: 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.

Abstract: A method of forming a porous structure involves mixing a solvent with a curable material which disperses in the solvent such that the mixture has greater than 50% solvent content. The mixture is deposited on a substrate and viscosity of the mixture is increased. The curable material in the mixture is cured while a shape of the curable material is maintained by the solvent. After curing, the solvent is removed from the structure.

Abstract: Additive manufacturing compositions and methods for fabricating a conductive article with the same are provided. The additive manufacturing composition may include a 3D printable material and a metal precursor disposed in the 3D printable material. The metal precursor may include a metal salt, a metal particle, or combinations thereof. The method may include forming a first layer of the article on a substrate, where the first layer includes the additive manufacturing composition, forming a second layer of the article adjacent the first layer, and binding the first layer with the second layer to fabricate the article. The method may also include plating a metal on at least a portion of the article to fabricate the conductive article.