Uchicago Argonne, LLC

Srilok Srinivasan

Subramanian Sankaranarayanan

Mathew J Cherukara

Henry Chan

Nathan P Guisinger

Troy David Loeffler

Saw Wai Hla

Daniel Joseph Trainer

Typical atomic manipulation techniques require long fabrication times and are not readily scalable due to necessary input from an operator. A method and system for performing automated atomic manipulation is described. The method includes obtaining an image of an atomic manipulation surface for fabricating an atomic structure thereon. A processor performs image processing and determines a movable elements, and defects, in the image of the atomic manipulation surface. The processor further determines respective positions of each of the movable elements, and forbidden regions of the atomic manipulation surface, each forbidden region determined from the determined defects. A fabrication design plan is then determined from the positions of the movable elements, and forbidden regions.

Artificial intelligence driven automated atomic manipulation

A system can include one or more processors configured to access at least one parameter of a material, generate a plurality of structures of the material using the at least one parameter, determine a state of each structure of the plurality of structures using the at least one parameter, determine a difference between the state of each structure of the plurality of structures and a ground state value, evaluate a convergence condition responsive to determining the difference between the state of each structure of the plurality of structures and the ground state value, and output at least one structure of the plurality of structures responsive to the convergence condition being satisfied.

Systems and methods for generating phase diagrams for metastable material states

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Woodridge, IL, United States of America

Srilok Srinivasan