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"THREE-DIMENSIONAL SQUAT-TYPE CRACK GROWTH UNDER ROLLING CONTACT FATIGU" by Abdul Haseeb Afridi, Eduardo Tovar Camacho et al. - Vimarsana News

"THREE-DIMENSIONAL SQUAT-TYPE CRACK GROWTH UNDER ROLLING CONTACT FATIGU" by Abdul Haseeb Afridi, Eduardo Tovar Camacho et al.

Squats cause wide concern for railway safety management due to their popularity and the significant increase. The current work introduced a symmetrical modeling strategy to investigate three-dimensional squat crack growth from an early stage tiny squat with a leading branch to the mature squat with both leading and trailing branches. The numerical strategy coupled the finite element method for stress status at the crack front in rail and the boundary element method for subsequent crack growth. The results show the formation of trail crack is due to the combined cracking modes of shearing and t...

Source: uow.edu.au
How can Machine Learning Advance Graphene Innovation? - Vimarsana News

How can Machine Learning Advance Graphene Innovation?

In the last five years, the discovery and significant interest in twisted bilayer graphene gave rise to an entirely new subfield in advanced materials science and quantum physics: twistronics. In a new study, scientists apply machine learning algorithms to discover more about this remarkable phenome

Tapping Mode AFM Reveals Moiré Modulation of hBN vdW Potential - Vimarsana News

Tapping Mode AFM Reveals Moiré Modulation of hBN vdW Potential

Researchers demonstrated the effect of moire interlayer modulation on the van der Waals (vdW) potential of twisted, layered materials (LMs). Moiré Modulation of Van Der Waals Potential in Twisted Hexagonal Boron Nitride

Analyzing Twisted Graphene with ML and Raman Spectroscopy - Vimarsana News

Analyzing Twisted Graphene with ML and Raman Spectroscopy

Researchers developed a novel technique for automatically classifying the Raman spectra of twisted bilayer graphene (tBLG) into a variety of twist orientations using machine learning (ML).