Abstract: This disclosure provides for devices and methods for conduction assays for combinatorial libraries. The devices comprise a multiplicity of wells and a removable cap.

Abstract: A computer-implemented method for modeling fabrication constraints of a fabrication process is described. The method includes receiving training data including pre-fabrication structures and post-fabrication, training a fabrication constraint model by optimizing parameters of the fabrication constraint model based on the training data to model the fabrication constraints of the fabrication process, receiving an input design corresponding to a physical device, and generating a fabricability metric of the input design via the fabrication constraint model. The fabricability metric is related to a probabilistic certainty that the input design is fabricable by the fabrication process determined by the fabrication constraint model.

Abstract: A deposition device is described. The deposition device has a substrate support and an imaging system disposed to image a portion of a substrate positioned on the substrate support. The imaging system comprises an LED light source and an imaging unit, and is coupled to a deposition assembly disposed across the substrate support.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for correcting finite floating-point numerical simulation and optimization. Defining a loss function within a simulation space composed of a plurality of voxels each having an initial degree of freedom, the simulation space encompassing one or more interfaces of the component; defining an initial structure for the one or more interfaces in the simulation space; calculating, using a computer system with a finite floating-point precision, values for an electromagnetic field at each voxel using a finite-difference time domain solver to solve Maxwell's equations; and determining, for each voxel, whether to increase a respective numerical precision of respective values representing behavior of the electromagnetic field at the voxel above a threshold precision by the computer system and, in response, assigning one or more additional degrees of freedom to the voxel.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for designing a multimodal photonic component. In one aspect, a method includes defining a loss function within a simulation space including multiple voxels and encompassing features of the multimodal photonic component. The loss function corresponds to a target output mode profile for an input mode profile, where the target output mode profile includes a relationship between a set of operating conditions and one or more supported modes of the multimodal photonic component at a particular operative wavelength. The initial structure is defined for one or more features, where at least some of the voxels corresponding to features have a dimension smaller than a smallest operative wavelength of the multimodal photonic component, and values for structural parameters for the features are determined so that a loss according to the loss function is within a threshold loss.

Abstract: A computer-implemented method for designing a dispersive optical component includes: (i) defining a loss function within a simulation space composed of multiple voxels, the simulation space encompassing optical interfaces of the component, the loss function corresponding to a target dispersion profile for the component including a relationship between a scattering angle and a wavelength of an incident electromagnetic field for different operative wavelengths; (ii) defining an initial structure for the optical interfaces, at least some of the voxels corresponding to each optical interface having a dimension smaller than a smallest operative wavelength of the component; and (iii) determining, using a computer system, a structure for each optical interface using a finite-difference time domain solver to solve Maxwell's equations so that a loss determined according to the loss function is above a specified threshold.

Abstract: A multi-channel photonic demultiplexer includes an input region to receive a multi-channel optical signal including four distinct wavelength channels, four output regions, each adapted to receive a corresponding one of the four distinct wavelength channels demultiplexed from the multi-channel optical signal, and a dispersive region optically disposed between the input region and the four output regions. The dispersive region includes a first material and a second material inhomogeneously interspersed to form a plurality of interfaces that each correspond to a change in refractive index of the dispersive region and collectively structure the dispersive region to optically separate each of the four distinct wavelength channels from the multi-channel optical signal and respectively guide each of the four distinct wavelength channels to the corresponding one of the four output regions.

Abstract: A deposition device is described. The deposition device has a substrate support and a laser imaging system disposed to image a portion of a substrate positioned on the substrate support. The laser imaging system comprises a laser source and an imaging unit, and is coupled to a deposition assembly disposed across the substrate support.

Abstract: Methods for designing a mode-selective optical device including one or more optical interfaces defining an optical cavity include: defining a loss function within a simulation space encompassing the optical device, the loss function corresponding to an electromagnetic field having an operative wavelength within the optical device resulting from an interaction between an input electromagnetic field at the operative wavelength and the one or more optical interfaces of the optical device; defining an initial structure for each of the one or more optical interfaces, each initial structure being defined using a plurality of voxels; determining values for at least one structural parameter and/or at least one functional parameter of the one or more optical interfaces by solving Maxwell's equations; and defining a final structure of the one or more optical interfaces based on the values for the one or more structural and/or functional parameters.

Abstract: A two-channel photonic demultiplexer includes an input region to receive a multi-channel optical signal, two output regions, each adapted to receive a corresponding one of two distinct wavelength channels demultiplexed from the multi-channel optical signal, and a dispersive region including a first material and a second material inhomogeneously interspersed to form a plurality of interfaces that collectively structure the dispersive region to optically separate each of the two distinct wavelength channels from the multi-channel optical signal and respectively guide the first distinct wavelength channel to a first output region and the second distinct wavelength channel to the second output region when the input region receives the multi-channel optical signal. At least one of the first material or the second material is structured within the dispersive region to be schematically reproducible by a feature shape with a pre-determined width.

Abstract: A deposition device is described. The deposition device has a substrate support and a laser imaging system disposed to image a portion of a substrate positioned on the substrate support. The laser imaging system comprises a laser source and an imaging unit, and is coupled to a deposition assembly disposed across the substrate support.

Abstract: A method for fluid transport includes receiving fluid at an inlet port of an inlet. The fluid is outputted through an opening of the inlet into a channel. A first ratio of a first distance to a second distance is substantially equal to a cubic root of a second ratio between a first length dimension and a second length dimension of the inlet, the first distance being measured from an entrance of the inlet port to a first position within the inlet, the second distance being measured from the entrance of the inlet port to a second position within the inlet, the first length dimension and the second length dimension each being measured along a direction orthogonal to a measurement direction along the first distance and the second distance, the first length dimension and the second length dimension being measured at the first position and the second position, respectively.

Abstract: A microfluidic system for fluid transport is provided. The microfluidic system includes a microfluidic device. The microfluidic device includes an inlet body including an inlet. The microfluidic device includes a base supporting the inlet body. The base includes a channel in fluid communication with the inlet. The base includes one or more sensors formed on a surface of the channel, or one or more sensors formed in one or more wells formed in the surface of the channel. The channel is configured to facilitate flow of the fluid. The fluid includes a plurality of beads. The fluid includes a plurality of suspended cells. The inlet is configured to receive the fluid at an inlet port. The inlet is configured to output the fluid through an opening in fluid communication with the channel. The inlet is configured to provide substantially uniform flow of the fluid across a substantial portion of a horizontal dimension of the channel. The device is configured to compensate for edge effects otherwise present therein.

Abstract: A system, apparatus, and method for optimizing structural parameters of a physical device are described. The method includes receiving an initial description of the physical device describing the structural parameters within a simulated environment. The method further includes performing a simulation of the physical device in response to an excitation source to determine a performance metric of the physical device. The simulation environment includes one or more absorbing boundaries for attenuation of an output of the excitation source during the simulation. The method further includes recording attenuated field values of the simulated environment associated with the attenuation during the simulation.

Abstract: Systems and methods for designing a hybrid neural network comprising at least one physical neural network component and at least one digital neural network component. A loss function is defined within a design space composed of a plurality of voxels, the design space encompassing one or more physical structures of the at least one physical neural network component and one or more architectural features of the digital neural network. Values are determined for at least one functional parameter for the one or more physical structures, and the at least one architectural parameter for the one or more architectural features, using a domain solver to solve Maxwell's equations so that a loss determined according to the loss function is within a threshold loss. Final structures are defined for the at least one physical neural network component and the digital neural network component based on the values.

Abstract: In some embodiments, a computer-implemented method for creating a fabricable segmented design for a physical device is provided. A computing system receives a design specification. The computing system generates a proposed segmented design based on the design specification. The computing system determines two or more loss values based on the proposed segmented design. The computing system combines the two or more loss values to create a combined loss value. The computing system creates an updated design specification using the combined loss value. At least some of the generating, determining, combining, and creating actions are repeated until a fabricable segmented design is generated.

Abstract: At least one machine-accessible storage medium that provides instructions that, when executed by a machine, will cause the machine to perform operations. The operations comprise configuring a simulated environment to be representative of a physical device based, at least in part, on an initial description of the physical device that described structural parameters of the physical device. The operations further comprise performing a physics simulation with an artificial intelligence (“AI”) accelerator. The AI accelerator includes a matrix multiply unit for computing convolution operations via a plurality of multiply-accumulate units. The operations further comprise computing a field response in response of the physical device in response to an excitation source within the simulated environment when performing the physics simulation. The field response is computed, at least in part, with the convolution operations to perform spatial differencing.

Abstract: A method of optimizing structural parameters of a physical device includes: receiving an initial description of the physical device that describes the physical device with an array of voxels that each describe one or more of the structural parameters; performing a time-forward simulation of a field response propagating through the physical device and interacting with the voxels in a simulated environment, wherein the field response is influenced by the structural parameters of the voxels; generating field response values describing the field response at each of the voxels for each of a plurality of time steps; encoding the field response values to generate compressed field response values; storing the compressed field response values; decoding one or more of the compressed field response values to extract regenerated field response values; and generating a revised description of the physical device having a structural parameter optimized.

Abstract: Embodiments of techniques for inverse design of physical devices are described herein, in the context of generating designs for photonic integrated circuits (including a multi-channel photonic demultiplexer). In some embodiments, an initial design of the physical device is received, and a plurality of sets of operating conditions for fabrication of the physical device are determined. In some embodiments, the performance of the physical device as fabricated under the sets of operating conditions is simulated, and a total performance loss value is backpropagated to determine a gradient to be used to update the initial design. In some embodiments, instead of simulating fabrication of the physical device under the sets of operating conditions, a robustness loss is determined and combined with the performance loss to determine the gradient.

Abstract: A computer-implemented method for designing an image processing device includes defining a loss function within a simulation space composed of a plurality of voxels; defining an initial structure for one or more physical features of a metasurface and one or more architectural features of a neural network in the simulation space; determining, using a computer system, values for at least one structural parameter, and/or at least one functional parameter for the one or more physical features and at least one architectural parameter for the one or more architectural features, using a numerical solver to solve Maxwell's equations so that a loss determined according to the loss function is within a threshold loss; defining a final structure of the metasurface based on the values for the one or more structural parameters; and defining a final structure of the neural network based on the values for the at least one architectural parameter.