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

Molecular properties prediction and new material discovery are significant for the
pharmaceutical industry, food, chemistry, and other fields. The popular methods are …

Being able to predict the failure of materials based on structural information is a fundamental
issue with enormous practical and industrial relevance for the monitoring of devices and …

Escherichia coli, as an indicator of fecal contamination, can move from manure-amended
soil to groundwater under rainfall or irrigation events. Predicting its vertical transport in the …

Plasticity modelling has long relied on phenomenological models based on ad-hoc
assumption of constitutive relations, which are then fitted to limited data. Other work is based …

Fire hazards pose significant threats to our communities. Mitigation of fire risk requires an
understanding of a range of issues and processes at various scales, such as the occurrence …

Data-driven smart manufacturing has demonstrated tremendous potential across the entire
manufacturing lifecycle, and initiated and enriched a series of new paradigms, such as …

Bien que les solides amorphes soient omniprésents dans la nature et possèdent de
nombreuses applications industrielles (verre, gel, matériaux granulaires...), la …

When crystalline materials are externally loaded, the irreversible changes in the shape, ie
plastic deformation, results from the motion of dislocations that are line-like defects in the …

Dussé-je y passer ma vie, il me sera sûrement impossible d'en faire le tour. Telle est à peu
de choses près la pensée qui m'a traversé l'esprit lorsque j'ai fait la rencontre avec la …