Tags: materials informatics

All Categories (1-20 of 50)

  1. Andreas E. Robertson

    Andreas is a graduate student in the MINED Group whose research focuses on Process-Structure-Property (PSP) Linkages in the Mesoscale for dislocation systems. He is pursuing a Ph.D. in Mechanical...

    https://matin.gatech.edu/members/1534

  2. Apr 08 2019

    Data Sciences and Informatics for Multiscale Materials Discovery, Development and Deployment

    This course will introduce emerging opportunities in the application of data science and informatics concepts to problems in multiscale materials discovery, development, and deployment. The...

    https://matin.gatech.edu/events/details/35862

  3. Quantitative Methods for Inferring Process-Structure-Property Relations in Machining

    16 Jan 2019 | Contributor(s):: Fernandez-Zelaia, Patxi

    Advisors: Shreyes N. Melkote, Roshan J. Vengazhiyil, Surya Kalidindi, Christopher Saldana, Troy MarusichMetal machining subjects material to large strains (e > 1) at extremely high rates (rate > 1000 s-1) while simultaneously imposing heating due to dissipated plastic work. This complex...

  4. Eric Hoar

    https://matin.gatech.edu/members/1476

  5. Data-Driven PSP Linkages for Atomistic Datasets

    20 Aug 2018 | Contributor(s):: Gomberg, Joshua A.

    Advisors: Surya R. Kalidindi, David L. McDowell, Mo Li, Benjamin Haaland, Hamid GarmestaniFor a variety of materials, atomic-scale modeling techniques are commonly employed as a means of investigating fundamental properties, including both structural and chemical responses. While force-field...

  6. Structure-Property Linkages for Polycrystalline Materials Using Materials Knowledge Systems

    20 Aug 2018 | Contributor(s):: Paulson, Noah H.

    Advisors: Surya R. Kalidindi, David L. McDowell, Donald S. Shih, Richard W. Neu, Hamid GarmestaniComputational tools that are capable of rapidly exploring candidate microstructures and their associated properties are required to accelerate the rate of development and deployment of novel...

  7. Jesse Philip Castellana

    https://matin.gatech.edu/members/1470

  8. Fracture Surfaces of Dual-Phase Steels

    CSE 8803: Materials Informatics Fall 2017, Georgia Institute of Technology Karla Wagner Table of Contents DP Steels Post 1 - Introduction DP Steels Post 2 - Plan of Action DP Steels Post 3 -...

    https://matin.gatech.edu/groups/materials_informatics_course_fall_2017/wiki/FractureSurfacesofDualPhaseSteels

  9. Oct 12 2017

    Seminar: Additive Manufacturing Data and Emerging Analytics Opportunities

    Woodruff School of Mechanical EngineeringData-Driven Design & Manufacturing Seminar EventMechanical Engineering SeminarName of SpeakerDr. Paul WitherellTitle Additive Manufacturing Data and...

    https://matin.gatech.edu/events/details/64

  10. Sep 25 2017

    2017 Materials Research & Data Science (MRaDS) Conference // Washington, DC

    The 2017 Materials Research & Data Science (MRaDS) Conference will be held on September 25-27 at the Institute for Bioscience & Biotechnology Research, University of Maryland,...

    https://matin.gatech.edu/events/details/57

  11. Natalia Millan-Espitia

    https://matin.gatech.edu/members/1278

  12. Papers on Porosity Analysis in mesoscale microstructures.

    08 Jun 2017 | Contributor(s):: Apaar Shanker

    These are papers from MINED group which detail analytics used in characterising meso-porous microstructures. 

  13. Overlay Segmented Image Over Raw Image

    31 Mar 2017 | | Contributor(s):: Almambet Iskakov

    Simple productivity MATLAB script to visually compare segmented and raw images. This can be used to track regions where segmentation was not performed as desired.

  14. Microstructure Maker - 3D Microstructure Reconstruction from 2D data/images

    10 Mar 2017 | | Contributor(s):: David Turner, Surya R. Kalidindi

    Microstructure Maker is a a MATLAB / C++ implementation of solid texture synthesis algorithms for constructing statistically representative 3D microstructure datasets from only 2D data. This software attempts to create 3D reconstructions of microstructures from a limited number of oblique 2D...

  15. Estimation of Chord Length Distributions for 3D microstructure images

    10 Mar 2017 | | Contributor(s):: David Turner, Surya R. Kalidindi

    A software implementation based on the following research study (see References below for full citation): http://iopscience.iop.org/article/10.1088/0965-0393/24/7/075002 Abstract Chord length distributions (CLDs) and lineal path functions (LPFs) have been successfully utilized in prior literature...

  16. Estimation of Chord Length Distributions for 2D microstructure images

    10 Mar 2017 | | Contributor(s):: David Turner, Surya R. Kalidindi

    A software implementation based on the following research study (see References below for full citation): http://iopscience.iop.org/article/10.1088/0965-0393/24/7/075002 Abstract Chord length distributions (CLDs) and lineal path functions (LPFs) have been successfully utilized in prior literature...

  17. Physical Mettalurgy and Materials Informatics at LANL (Feb 2017)

    Collections | 06 Mar 2017 | Posted by Aleksandr Blekh

    https://matin.gatech.edu/members/1011/collections/career-opportunity-flyers

  18. CSE 8803 / ME 8883 - Materials Informatics Course - Project Final Presentations - Fall 2016

    08 Feb 2017 |

    Recordings of the final presentations of student projects for the Fall 2016 offering of Prof. Surya Kalidindi's Materials Informatics course.

  19. CSE 8803 / ME 8883 - Materials Informatics Course - Project Final Presentations

    08 Feb 2017 | | Contributor(s):: Aleksandr Blekh

    Final Presentations of student projects for Prof. Surya Kalidindi's Materials Informatics course (first recording as of Fall 2016).

  20. Materials Informatics Education

    06 Feb 2017 |

    Materials Informatics Education is a series of MATIN resources (content) focused on professional education of upcoming and existing workforce in the materials science and engineering domain. More specifically, this series is dedicated to the emerging materials informatics discipline.