Fraunhofer Usa, Inc.

University System of Maryland

The State University of New York

Porter, Adam

Matthias Muehle

Michael Frank Becker

Rohan Reddy Mekala

Mikael Lindvall

Adam Porter

Jung-Hun Seo

Yixiong Zheng

Disclosed herein are systems and methods for synthesizing a diamond using a diamond synthesis machine. A processor receives a plurality of images of a diamond during synthesis within a diamond synthesis machine, each of the plurality of images captured within a time period. The processor executes a diamond state prediction machine learning model using the plurality of images to obtain a predicted data object, the predicted data object indicating a predicted state of the diamond within the diamond synthesis machine at a time subsequent to the time period. The processor detects a predicted defect, a number of defects, defect types, and/or sub-features of such defects and/or other characteristics (e.g., a predicted shape, size, and/or other properties of predicted contours for the diamond and/or pocket holder) of the predicted state of the diamond. The processor adjusts operation of the diamond synthesis machine.

Systems and methods for synthesizing a diamond using machine learning

A method comprising providing a carbonaceous material, the substrate having a first thermal conductivity. The method further comprises depositing a first masking layer having a second thermal conductivity on at least a portion of the substrate, a ratio of the second thermal conductivity to the first thermal conductivity being less than or equal to 1:30. The method further comprises depositing a second masking layer on the first masking layer to form an etch mask, and etching an exposed portion of the substrate.

Deep etching substrates using a bi-layer etch mask

Growing community of inventors

Haslett, MI, United States of America

Matthias Muehle