activity
20212023
most citedHierarchical multiscale quantification of material uncertainty

20 citations · 35 across the 5 of their papers we have counts for

collaborators

5 papers

cond-mat.mtrl-sci2023★ 1 cited

Rapid Quantification of Dynamic and Spall Strength of Metals Across Strain Rates

Suhas Eswarappa Prameela, Christopher C. Walker, Christopher S. DiMarco +8

The response of metals and their microstructures under extreme dynamic conditions can be markedly different from that under quasistatic conditions. Traditionally, high strain rates…

cond-mat.mtrl-sci2022★ 12 cited

Uncertainty Quantification of Material Properties in Ballistic Impact of Magnesium Alloys

Xingsheng Sun

The design and development of cutting-edge light materials for extreme conditions including high-speed impact remains a continuing and significant challenge in spite of steady adva…

cond-mat.mtrl-sci2021★ 1 cited

Concurrent goal-oriented materials-by-design

Xingsheng Sun, Burigede Liu, Kaushik Bhattacharya +1

The development of new materials and structures for extreme conditions including impact remains a continuing challenge despite steady advances. Design is currently accomplished usi…

cond-mat.mtrl-sci2021★ 1 cited

Multiscale modeling of materials: Computing, data science,uncertainty and goal-oriented optimization

Nikola Kovachki, Burigede Liu, Xingsheng Sun +4

The recent decades have seen various attempts at accelerating the process of developing materials targeted towards specific applications. The performance required for a particular…

physics.comp-ph2021★ 20 cited

Hierarchical multiscale quantification of material uncertainty

Burigede Liu, Xingsheng Sun, Kaushik Bhattacharya +1

The macroscopic behavior of many materials is complex and the end result of mechanisms that operate across a broad range of disparate scales. An imperfect knowledge of material beh…