We study two-dimensional hexagonal photonic lattices of silicon Mie resonators with a topological optical band structure in the visible spectral range. We use 30 keV electrons focused to nanoscale spots to map the local optical density of states in topological photonic lattices with deeply subwavelength resolution. By slightly shrinking or expanding the unit cell, we form hexagonal superstructures and observe the opening of a band gap and a splitting of the double-degenerate Dirac cones, which correspond to topologically trivial and nontrivial phases. Optical transmission spectroscopy shows evidence of topological edge states at the domain walls between topological and trivial lattices.

https://link.aps.org/accepted/10.1103/PhysRevLett.122.117401

Probing the Band Structure of Topological Silicon Photonic Lattices in the Visible Spectrum.

A portable terminal provides a fingerprint-based shortcut key to realize both security and one touch convenience. The portable terminal includes a fingerprint sensor for recognizing user's fingerprint, a memory for storing fingerprint data, and a controller for mapping and storing first fingerprint data inputted through the fingerprint sensor and a function of the portable terminal in the memory. Upon input of second fingerprint data through the fingerprint sensor, there is a comparison of the first fingerprint data with the second fingerprint data, and performing the function mapped to the first fingerprint data when the first fingerprint data is identical to the second fingerprint data. The portable terminal may perform the authentication and provide the result to another portable terminal, or an authentication server can perform the comparison.

Method for providing fingerprint-based shortcut key, machine-readable storage medium, and portable terminal

A method, device, and system for generating a list of recipe recommendations includes determining the type and quantity of ingredients available to a user of a mobile computing device or smart storage. The available ingredients may be determined using text input or voice input from the user. A camera may also be used to capture images of the available ingredients for analysis. The list of recipes may be generated as a function of the type and quantity of available ingredient(s), meal preferences of the user, and the context of the meal. Recipe complements and/or supplements may be suggested in response to the user selecting a recipe from the list of recipe recommendations. Further, a meal planner may be used to track the shelf life of the ingredient(s), plan a meal schedule, and generate a shopping list

Device, method, and system for recipe recommendation and recipe ingredient management

One variation of a method for personalizing food orders includes: from a patron, receiving a taste feedback for a first food item in a first food order submitted previously by the patron; predicting an absolute food preference of the patron from the first food order; predicting a relative taste preference of the patron based on the taste feedback and a recipe of the first food item; generating a taste profile of the patron based on the absolute food preference and the relative taste preference; from the patron, receiving a selection for a second food item in a new food order, the second food item different than the first food item; applying the taste profile of the patron to a recipe for the second food item to generate a personalized recipe; and submitting the personalized recipe with the new food order to a robotic food assembly apparatus.

Method for delivering a custom sandwich to a patron

Food supply chain automation farm tracking system and method

Methods for generating recipe recommendations based on virtual cooking results from a virtual cooking system are described. In some embodiments, a virtual cooking result is generated based on a recipe for making a particular food or beverage. The virtual cooking result may include quantitative representations of various expected characteristics of the particular food or beverage. For example, the virtual cooking result may include resulting ingredients, resulting volatile aromatic compounds, and estimates regarding one or more flavors associated with the particular food or beverage. The generation of different virtual cooking results associated with different recipes allows computer programs to leverage machine learning techniques and solve optimization problems in order to determine an optimum recipe or set of recipes for a given set of recipe constraints. The recipe recommendations may include recipe pairing recommendations, multi-meal recipe recommendations, and new recipes optimized to satisfy a particular flavor profile.

System and methods for virtual cooking with recipe optimization

System and methods for virtual cooking

System and methods for virtual cooking with multi-course planning

System and methods for virtual cooking with food pairing

http://optoelectronics.eecs.berkeley.edu/ey1999semsc582.pdf

Vapor phase epitaxial liftoff of GaAs and silicon single crystal films

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