Advanced Materials & Manufacturing

Tailor-Making Nano Insulation Materials with Lowered Thermal Conductivity by Utilizing the Knudsen Effect

Jelle B.P., Mofid S.A., Grandcolas M., Norwegian University of Science and Technology (NTNU), NO

As the world is turning its focus even more towards aspects like energy efficiency and renewable and non-polluting energy harvesting, including the building sector, the quest has been set for developing high-performance thermal insulation materials [...]

Monte Carlo simulation of the energetics and thermodynamics of polypyrrole in condensed phases

Helmick G., Abere Y., Blaisten-Barojas E., George Mason University, US

Polypyrrole (PPy) is a conducting polymer with a wide range of applications such as supercapacitors, sensors, batteries, actuators, and neural prosthetics. PPy is a popular polymer in experimentation not so easily accessed in computational modeling [...]

Study of Nonclassical Fullerenes C_192 and C_204 with Seven Heptagon Rings

Sanchez-Bernabe F.J., Universidad Autónoma Metropolitana, MX

In this paper, we present some examples of nonclassical fullerenes with seven heptagon rings. For instance, a nonclassical fullerene with 192 carbons, seven heptagons, 19 pentagons, and 72 hexagons, is considered. Two of the seven [...]

Distinctive thermoresponsive behavior of smart polymers solvated in glycerol from Molecular Dynamics

Hopkins S.D., Blaisten-Barojas E., George Mason University, US

Thermoresponsive polymers have been utilized in a broad range of medical and industrial applications as smart materials, including controlled drug delivery, and water treatment and desalination. While the behavior of such polymers has been modeled [...]

Molecular Modeling & Simulation

Automated Classification of Defected Images by Means of Machine Learning for Improved Analysis of Vehicle Undercarriages

Giegerich W.V., Stone A., Forte III L., Schneider P.J., Oh K.W., University at Buffalo, US

This research focuses on the development of a vehicle undercarriage image quality machine learning model. The model returns the quality of the image across several categories which are used for classifying image defects. Through analysis [...]

Real-time Multi-Modality Clinical Decision Support Platform: An Overview of Incorporating Deep Learning within Multi-Modality Fusion Framework in HealthCare

Kia A., Timsina P., Mount Sinai Health System, US

Synopsis Every second, modern health care ecosystem is generating a wide range of clinical data format including structured, unstructured, image, and high-frequency waveform data. The volume of data is also growing at an exponential rate. [...]

Flexible AI for real-world environments

Achler T., Optimizing Mind, US

AI remains less capable compared to humans at quickly accumulating knowledge without forgetting what they previously learned. Everything that might happen in the robot’s work environment must be in the training set and rehearsed in [...]

Athlete Engineering BaseLine Ecosystem: innovative technologies to enhance human performance

Luczak T., Burch R., Nelsen P., Freeman C., Chander H., Ball J., Jones J.A., Barlow J., Saucier D., Duclos M., Grice S., Taquino M., Mississippi State University, US

The Athlete engineering BaseLine Ecosystem (AeBLE) is a collection of integrated innovations impacting human performance, health, and wellness. AeBLE integrates artificial intelligence-driven mobile markerless motion capture, embedded wearable sensors, and augmented and virtual immersive technologies [...]

Sector: Advanced Materials & Manufacturing