Neural networks predict forces in jammed granular solids

Figure showing configuration of a typical granular solid (left hand side). The f
Figure showing configuration of a typical granular solid (left hand side). The force network or force chain in such a material is shown on the right hand side. Photo: Rituparno Mandal
Figure showing configuration of a typical granular solid ( left hand side ). The force network or force chain in such a material is shown on the right hand side. Photo: Rituparno Mandal Researchers led by Göttingen University develop new machine-learning method to understand force chains Granular matter is all around us. Examples include sand, rice, nuts, coffee and even snow. These materials are made of solid particles that are large enough not to experience thermal fluctuations. Instead, their state is determined by mechanical influences: shaking produces -granular gases- whilst by compression one gets -granular solids-. An unusual feature of such solids is that forces within the material concentrate along essentially linear paths called force chains whose shape resembles that of lightning.
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