X Development LLC

Waymo LLC

Brian John Adolf

Martin F Schubert

Jesse Lu

Richard Wayne Devaul

Sarah Ann Laszlo

Raj B Apte

Eric Hc Liu

Michael Jason Grundmann

Matthew Dixon Eisaman

Benoit M Schillings

Richard Wayne DeVaul

Joseph Hollis Sargent

Dominico P Julian

Patricia Prewitt

Philip Edwin Watson

Gabriella Levine

Kenneth Ryan Loo

Mathias Samuel Fleck

Maaike Louise Evers

Michael Arthur Simonian

Kathleen Evelyn Cooper

Matt Swinton

Samuel Dean Banks, Jr

Jaspreet Singh Jhoja

Joseph R Owens

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.

Multimodal photonic components

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. The generating, determining, combining, and creating actions are repeated until a fabricable segmented design is generated.

Techniques for fusing multiple loss functions in an inverse design process

Methods and systems for designing a photonic computational architecture including a plurality of optical components. At least some of the methods include: defining a loss function within a simulation space composed of a plurality of voxels, the simulation space encompassing the plurality of optical components; defining an initial structure for the photonic computational architecture in the simulation space, at least some of the voxels corresponding to each of the plurality of optical components and having a dimension smaller than an operative wavelength of the computational architecture; determining values for at least one structural parameter and/or at least one functional parameter for each of the plurality of optical components using a numerical solver to solve Maxwell's equations; and defining a final structure of the photonic computational architecture based on the values for the one or more structural and/or functional parameters.

Systems and methods for designing photonic computational architectures

In some embodiments, techniques for creating fabricable segmented designs for physical devices are provided. A proposed segmented design is determined based on a design specification. The proposed segmented design includes a plurality of segments that each includes an indication of a material for the segment. The proposed segmented design also includes lattice members and lattice voids. A size of the lattice members and a size of the lattice voids are greater than a size of the segments and are greater than or equal to at least one of a minimum feature width and a minimum feature spacing of a fabrication system Performance of the proposed segmented design is simulated. One or more lattice members and lattice voids are chosen to change to improve the performance of the proposed segmented design.

Lattice-imposed inverse design of physical devices

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.

Learned fabrication constraints for optimizing physical devices

In some embodiments, logic stored on a computer-readable medium, in response to execution, causes a computing system to conduct an inverse design process to generate a plurality of segmented designs corresponding to a plurality of device specifications, determine at least one highly impactful design area based on the plurality of segmented designs; and designate the at least one highly impactful design area as a static design area. In some embodiments, a product line comprising a plurality of physical devices is provided. Each physical device of the plurality of physical devices includes a design region that includes a static design area and a customized design area. The static design area for each physical device is the same for each physical device of the plurality of physical devices, and the customized design area for each physical device is different for each physical device of the plurality of physical devices.

Techniques for determining and using static regions in an inverse design process

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.

Finite floating-point numerical simulation and optimization

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.

High-dispersion optical components and methods for making the same

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.

Multi-channel integrated photonic wavelength demultiplexer

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.

Systems and methods for designing optical devices having mode selective facets

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.

Two-channel integrated photonic wavelength demultiplexer

An apparatus includes a precursor dispenser for dispensing a precursor material into a workspace, one or more acoustic sources configured to direct acoustic waves towards the workspace to provide acoustic fields that arrange the precursor material in a three-dimensional shape in the workspace, one or more sensors configured to detect a distribution of the precursor material in the workspace, and an electronic controller in communication with the precursor dispenser, the one or more acoustic sources, and the one or more sensors, the electronic controller being programmed to cause the one or more acoustic sources to adjust the acoustic fields to reduce deviations in the distribution of the precursor material from the three-dimensional shape in the workspace.

Sensing and feedback for the formation of complex three-dimensional acoustic fields

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. The method further includes determining a loss metric based on a difference between the performance metric and a target performance metric, backpropagating the loss metric using the attenuated field values, and generating a revised description of the physical device by updating the structural parameters to reduce the loss metric.

Physical device optimization with reduced memory footprint via time reversal at absorbing boundaries

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.

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San Mateo, CA, United States of America

Brian John Adolf