Hyperuniform and Nearly Hyperuniform Random Network Materials

Patent №

US 10,059,596

Granted

2018-08-28

Filed 2015

Owner

THE TRUSTEES OF PRINCETON UNIVERSITY

Lab

AI components

1

hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

14891568

This invention is in the field of physical chemistry and relates to novel hyperuniform and nearly hyperuniform random network materials and methods of making said materials. Methods are described for controlling or altering the band gap of a material, and in particular commercially useful materials such as amorphous silicon. These methods can be exploited in the design of semiconductors, transistors, diodes, solar cells and the like.

AI hardwareC01B 33/02H10F 77/1662Y02E 10/548

AI classification

AI hardware1.00
Machine learning0.05
Natural language0.01
Evolutionary computation0.00
Vision0.00
Planning0.00
Knowledge representation0.00
Speech0.00

Ownership

THE TRUSTEES OF PRINCETON UNIVERSITY

assignment · 377570723

From the same owner

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