In the design and development of novel materials that have excellent mechanical properties,
classification and regression methods have been diversely used across mechanical …

Forecasting quasibrittle failure in geomaterials is of paramount importance in the physics of
fractures but rarely succeeds. To clarify the physics relating to the failure predictability in a …

Creep-oriented alloy design is a long-standing interesting topic in the field of metal structural
materials. However, the high cost for creep testing limits the development efficiency of new …

Network theoretical measures such as geodesic edge betweenness centrality (GEBC) have
been proposed as failure predictors in network models of load-driven materials failure. Edge …

Stainless steel components in advanced gas‐cooled reactors (AGRs) are susceptible to
creep–fatigue cracking at high temperatures. Quantifying the probability of creep–fatigue …

Creep rupture life is a key material parameter for service life and mechanical properties of
ODS steels. Therefore, accurately predicting the creep rupture life of ODS steels holds …

The intermittent dynamics of driven interfaces through disordered media and its subsequent
depinning for large enough driving force is a common feature for a myriad of diverse …

Prediction of a breakdown in disordered solids under external loading is a question of
paramount importance. Here we use a fiber bundle model for disordered solids and record …

With the increased use of data-driven approaches and machine learning-based methods in
material science, the importance of reliable uncertainty quantification (UQ) of the predicted …

Spatial and temporal features are studied with respect to their predictive value for failure
time prediction in subcritical failure with machine learning (ML). Data are generated from …