This VR/AR/XR image is the structure (atomic arrangement) of an amorphous aluminum oxide. The structure was determined by a computational modelling technique and has been compared with experimental data. Knowing the typical atomic arrangements in an amorphous (disordered) material is critical for predicting and understanding material properties.
Instructions: Use your smartphone(newer iPhones work best) camera to open the Augmented Reality (AR) Code by pointing the camera at the AR code and clicking on the yellow “Adobe Aero” tab (without downloading any apps.) It is only necessary to give Adobe permission to access your phone (just like accessing a QR code.) Click on the blue “Continue” tab when it appears. To land the image find a flat open area and click the gray dots that appear on your phone covering the flat surface. Once you have anchored the image you can now walk around it viewing from all sides from your phone.
Contributors
John Flory
Product Development Specialist
John Flory is the Nano | Human Interfaces Presidential Initiative Product Development Specialist. As a Designer with a background in augmented and virtual reality development, his experience focuses on 3D modeling and creating applications for education.
Dr. Nick Strandwitz
Associate Professor in Materials Science and Engineering
Nick Strandwitz is an Associate Professor in Materials Science and Engineering at Lehigh University. His research team investigates atomic layer deposition, a technique that enables the creation of thin films one atomic layer at time.
Dr. Lisa Fredin
Assistant Professor, Department of Chemistry
Dr. Lisa Fredin’s group uses quantum chemistry to interrogate the chemical physics of catalytic materials and improve fundamental understanding of structure-activity relationships in catalytic processes.
Dr. Edmund Webb
Associate Professor, Department of Mechanical Engineering & Mechanics
In his research, Dr. Edmund Webb applies simulation techniques across multiple length and time scales to elucidate fundamental phenomena controlling the mechanical response of materials.
Stanislav Li
Student
Stanislav Li is a freshman in the Computer Science and Business honors program, with interests in machine learning and product management.
