2022 MRS Fall Meeting
Symposium SF04-Integrated Experimental and Modeling Approaches for Understanding Interfacial Effects at Different Physical Scales in Crystalline Materials
Interfaces, such as grain-boundaries (GBs) and those between different material and crystalline phases strongly affect the structure, thermodynamics, kinetics, and properties of crystalline materials. For example, GBs can have a dominant effect on whether dislocation populations can transmit across a GB, be partially absorbed at the GB, or glide along the GB and re-emit, altering the GB structure. Dislocations can also pile-up against GBs resulting in localized internal stress regions that inelastically alter microstructures at different scales. While there has been much work done in this area, there are still fundamental scientific gaps that need to be understood to fully control microstructural behavior. For example, predictions and experiments have been limited mostly to ordered GBs in face-centered cubic, twin boundaries in hexagonally close packed, and some specific GBs in body-centered cubic metals and alloys. Even at atomistic scales, current research has been limited to idealized ordered minimum energy GB configurations as initial starting structures. Furthermore, variations in structure along a GB has not yet been related to dislocation-GB interactions and overall mechanical response. This symposium will bring together leading international researchers to address these knowledge gaps with integrated experimental and modeling approaches that span nano- to macro- scales. Presentations pertaining to emerging techniques, such as statistical and machine learning approaches will also be solicited for a broad perspective on interfacial behavior.
Topics will include:
- Atomistic, mesoscale, and macroscale modeling approaches that can fundamentally address defect-interface interactions
- Experimental approaches that can be used to identify and characterize dominant defect phenomena and mechanisms at different interfaces and scales
- Statistical and machine learning techniques that can bridge different physical scales for GBs and other interfaces
- Processing and manufacturing approaches that address microstructural challenges and impediments
- Any approaches addressing variations in GB or interface structure and its impact on plastic flow
Invited Speakers:
- Dipankar Banerjee (Indian Academy of Sciences, India)
- Donald Brenner (North Carolina State University, USA)
- Ashley Buscek (University of Michigan, USA)
- William Curtin (École Polytechnique Fédérale de Lausanne, Switzerland)
- Avinash Dongare (University of Connecticut, USA)
- Saryu Fensin (Los Alamos National Laboratory, USA)
- David Fullwood (Brigham Young University, USA)
- Samuel Hemery (Ecole Nationale Supérieure de Mécanique et d'Aérotechnique, France)
- Eric Homer (Brigham Young University, USA)
- Daniel Kiener (Montanuniversität Leoben, Austria)
- Nan Li (Los Alamos National Laboratory, USA)
- Javier Llorca (IMDEA Materials Institute, Spain)
- Amit Misra (University of Michigan, USA)
- Sid Pathak (Iowa State University, USA)
- David Srolovitz (The University of Hong Kong, Hong Kong)
- Mitra Taheri (Johns Hopkins University, USA)
- Gregory Thompson (The University of Alabama, USA)
- Jian Wang (University of Nebraska–Lincoln, USA)
- Liming Xiong (Iowa State University, USA)
Symposium Organizers
Abigail Hunter
Los Alamos National Laboratory
Computational Physics
USA
Thomas Bieler
Michigan State University
Engineering
USA
Garritt Tucker
Colorado School of Mines
Mechanical Engineering
USA
Mohammed Zikry
North Carolina State University
Mechanical and Aerospace Engineering
USA
Topics
alloy
defects
dislocations
grain boundaries
interface
metal
microstructure
strength
transmission electron microscopy (TEM)