Predicting Fracture Propensity in Amorphous Alumina from Its Static Structure Using Machine Learning.
Sign Up to like & getrecommendations! Published in 2021 at "ACS nano"
DOI: 10.1021/acsnano.1c05619
Abstract: Thin films of amorphous alumina (a-Al2O3) have recently been found to deform permanently up to 100% elongation without fracture at room temperature. If the underlying ductile deformation mechanism can be understood at the nanoscale and… read more here.
Keywords: machine; machine learning; static structure; amorphous alumina ... See more keywords
Unveiling the predictive power of static structure in glassy systems
Sign Up to like & getrecommendations! Published in 2020 at "Nature Physics"
DOI: 10.1038/s41567-020-0842-8
Abstract: Despite decades of theoretical studies, the nature of the glass transition remains elusive and debated, while the existence of structural predictors of its dynamics is a major open question. Recent approaches propose inferring predictors from… read more here.
Keywords: predictive power; static structure; unveiling predictive; power static ... See more keywords
Estimation of the condensate fraction from the static structure factor
Sign Up to like & getrecommendations! Published in 2021 at "Physical Review B"
DOI: 10.1103/physrevb.103.094511
Abstract: We present an analytical method to estimate the condensate fraction ${n}_{0}/n$ in strongly correlated systems for which the zero-temperature static structure factor $S(\mathbf{p})$ is known. The advantage of the proposed method is that it allows… read more here.
Keywords: condensate; condensate fraction; static structure; structure factor ... See more keywords