3 min Research Talk: Web-based Machine Learning Tool for Material Discovery and Property Prediction
26 Sep 2019 | | Contributor(s):: Bryan Arciniega
This model allows the end-user to increase their knowledge on a scarce data set by using a data-rich property set. We also investigate the effect of chemical representation and autoencoder type on property prediction and compound generation.
3 min Research Talk: Using Machine Learning for Materials Discovery and Property Prediction
26 Sep 2019 | | Contributor(s):: Mackinzie S Farnell
Machine Learning models present a transformative method of optimization and prediction in science and engineering research. In the chemical sciences, unsupervised deep learning models such as autoencoders have shown to be useful for property prediction and material...
In-situ Mechanical Tests in X-Ray Microscope on Addictive Manufacture Anisotropic Rock Sample
14 Aug 2019 | | Contributor(s):: Liyang Jiang
This work explores the effects of layers and mineral texture on fracture evolution. Three-point bending and unconfined compressive strength tests were performed on the 3D printed gypsum samples with a Deben CT5000 in-situ stage inside a Zeiss Xradia 510 X-ray microscope....
ABACUS—Introduction to Semiconductor Devices
When we hear the term semiconductor device, we may think first of the transistors in PCs or video game consoles, but transistors are the basic component in all of the electronic devices we use in...
Aug 12 2019
ICANM2019:7th International Conference & Exhibition on Advanced & Nano Materials
Effective Integration of NIST Reference Data, Reference Materials, and Informatics in Support of Science and Technology
15 May 2019 | | Contributor(s):: Carlos A. Gonzalez
In this talk, a general description of NIST’s SRM program will be provided, highlighting some examples related to environmental science, clinical diagnoses and petroleum chemistry. In addition, issues related to the effective integration of reference data with reference materials and...
Mechanically-Driven Nano-Manufacturing of Atomically-Thin Origami and Kirigami Structures
22 Apr 2019 | | Contributor(s):: Sungwoo Nam
CELL-MET Thrust Area 2: Nanomechanics: Mechanical Properties of Materials, Scaffolds and Cardiac Tissues
04 Apr 2019 | | Contributor(s):: Pranjal Nautiyal
In this presentation, FIU graduate student Pranjal Nautiyal explains his work on Nanomechanics in Arvind Agarwal's Lab.
MSEN 201 Lecture 18.2: Magnetic Properties - Magnetic Domains
20 Feb 2019 | | Contributor(s):: Patrick J Shamberger
MSEN 201 Lecture 19.1: Optical Properties - Optical Absorption in Materials
18 Feb 2019 | | Contributor(s):: Patrick J Shamberger
MSEN 201 Lecture 19.2: Optical Properties - Optical Emission in Materials
MSEN 201 Lecture 17.1: Thermal Properties - Thermal Expansion
15 Feb 2019 | | Contributor(s):: Patrick J Shamberger
MSEN 201 Lecture 17.2: Thermal Properties - Thermal Conductivity
MSEN 201 Lecture 17.3: Thermal Properties - Heat Capacity
MSEN 201 Lecture 18.1: Magnetic Properties - Origin of Magnetization in Materials
MSEN 201 Lecture 10.1: Mechanical Properties Metals - Macroscopic Stress Strain Behavior
14 Feb 2019 | | Contributor(s):: Patrick J Shamberger
MSEN 201 Lecture 10.2: Mechanical Properties Metals - Mechanical Properties Definitions
MSEN 201 Lecture 11.1: Deformation and Strengthening - Elastic and Plastic Deformation at the Atomic Scale
MSEN 201 Lecture 11.2: Deformation and Strengthening - Macroscopic Elastic and Plastic Deformation
MSEN 201 Lecture 16.1: Electrical Properties - Conductivity vs Temperature