Atomistic modeling of interfaces and their impact on microstructure and properties
By Yuri Mishin, Mark Asta, Ju Li. 2010
486 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Materials Chemistry, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/3495bc1225ba507c26467faccce6d6a107f9e82d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
In Materials Chemistry
- Yuri Mishin
- Rohit Batra
- Zachary Trautt
- A. Adland
- Alain Karma
- G. P. P. Pun
- Rampi Ramprasad
- Ingo Steinbach
In Mechanical Engineering
Citations in the corpus
- Coupled motion of asymmetrical tilt grain boundaries: molecular dynamics and phase field crystal simulations (2012, methodology): “in elastic strain energies in the grains which may drive the GB motion. In fact, this driving force underlines one of the methods for studying GB migration by atomistic computer simulations, see e.g. [5] for review. However, because this driving force is quadratic in stress, large stresses need to b”
- Physically informed artificial neural networks for atomistic modeling of materials (2018, background): “Unfortunately, the construction of good quality potentials is a long and painful process requiring personal experience and intuition and is more art than science [8, 11].”
- Symmetric and asymmetric tilt grain boundary structure and energy in Cu and Al (and transferability to other fcc metals) (2015, unknown): “The bulk properties of polycrystalline materials are heavily influenced by atomic details associated with the crystallography of the grains and the structure of grain boundaries [1].”