Abstract Machine learning is increasingly recognized as a promising technology in the
biological, biomedical, and behavioral sciences. There can be no argument that this …

The current state of knowledge of cement hydration mechanisms is reviewed, including the
origin of the period of slow reaction in alite and cement, the nature of the acceleration …

The mechanical properties of nanocrystalline materials are reviewed, with emphasis on their
constitutive response and on the fundamental physical mechanisms. In a brief introduction …

Designing materials for targeted performance requirements as required in Integrated
Computational Materials Engineering (ICME) demands a combined strategy of bottom–up …

Soon after the discovery of carbon nanotubes, it was realized that the theoretically predicted
mechanical properties of these interesting structures–including high strength, high stiffness …

We present and discuss a framework for computer-aided multiscale analysis, which enables
models at a fine (microscopic/stochastic) level of description to perform modeling tasks at a …

Polymeric materials display distinguished characteristics which stem from the interplay of
phenomena at various length and time scales. Further development of polymer systems …

New perspectives on the phase field approach in modeling deformation and fracture at the
fundamental defect level are reviewed. When applied at sub-angstrom length scales the …

An analytical model based on a molecular mechanics approach is presented to relate the
elastic properties of a single-walled carbon nanotube to its atomic structure. We derive …

The heterogenous multiscale method (HMM) is presented as a general methodology for the
efficient numerical computation of problems with multiscales and multiphysics on multigrids …