Advanced Materials & Manufacturing

Automated Image Processing and Analysis Tools for DNA Origami Nanostructure Characterization by Atomic Force Microscopy

Chiriboga M., Díaz S.A., Medintz I.L., United States Naval Research Laboratory, US

The DNA origami technique is highly utilized in the DNA nanotechnolgy field for its ability to self-assemble geometric architectures with near atomic precision. The structural fidelity will vary depending on the assembly reaction conditions. Therefore, [...]

Benefits of a Decentralized AI

Bergstrom M., Internet of Everything Corporation, US

The benefits of AI can not be contested, but today’s AI solutions are based on the need of transporting the problem data to a centralized crunch facility on the internet, a so called cloud computing [...]

Experimental Observations of Majorana Particles Produced in Arrays of Fractional Josephson Junctions in An Organo-metallic Superconductive Device

Chen E.T., Duh S-H, Thornton J.T., Advanced Biomimetic Sensors, Inc., US

Majorana particle or Majorana fermion (MF) at its exotic state is its anti-particle may be beneficial as a qubit for topological quantum computing. We report experimental observations of Majorana fermions at their zero-energy bound state [...]

Using Robotics to Assemble Graphene Supercapacitor

Cao N., Dobbs S., Kawamoto-Kindred D., Kidd T., Kim J., Kuang Z., Magluyan D., Wu C., Wu S., Yu Z., Zhao H., Zhou Y.H., California State Polytechnic University, Pomona, US

Robotics is a field that seeks to use more precise and accurate mechanical manipulation to improve the speed, efficiency, and safety of certain tasks where human actions would be more of a liability than a [...]

Machine Learning Based Detection and Deep Learning Based Image Inpainting of Preparation Artefacts in Micrographs

Bernthaler T., Choudhary A.K., Jansche A., Schneider G., Aalen University, DE

Artefacts like stains or scratches introduced during the metallographic sample preparation process are a problem for manual as well as automatic image analysis. We show the use of image inpainting – normally used for reconstruction [...]

Machine Learning for Microstructures Classification in Functional Materials

Bernthaler T., Choudhary A.K., Grubesa T., Jansche A., Schneider G., Aalen University, DE

The search for novel magnetic phases requires efficient quantitative microstructure analysis to extract microstructural information and to correlate it with its intrinsic magnetic parameters. Kerr micrographs of magnets hold vital information for analysing the distribution [...]

Preventing Elderly Falling Through Machine Learning

Hardigan P., Nova Southeastern University, US

Using a machine-learning approach, we created, tested, and patented an algorithm that accurately predicts elderly falling. Additionally, using the algorithm our research in a community-based environment we demonstrated the ability to prevent injurious falls. Our [...]

Gamma-Ray Raster Imaging with Robotic Data Collection

Aucott T., Siddiqi M., Wells W., Savannah River National Laboratory, US

Currently, in order to create gamma-ray images, some form of collimation is required. The foremost imaging techniques either require physical collimation (such as the heavy shielding required for a pinhole imager) or restrictive algorithms (such [...]

Machine Learning for Automated Hepatic Fat Quantification

Akhbardeh A., Durot I., Rubin D.L., Sagreiya H., University of Pennsylvania, US

Nonalcoholic fatty liver disease is a global pandemic. This study investigated whether ultrasound point shear wave elastography measurements could predict hepatic fat quantification using a machine larning (ML) algorithm trained with fat quantification on MRI. [...]

Sector: Advanced Materials & Manufacturing