Pinja Jylänki, Theo Mbay, Airi Hakkarainen, Arja Sääkslahti, Pirjo Aunio
The effects of motor skill and physical activity interventions on preschoolers' cognitive and academic skills: A systematic review
Preventive medicine
recent years much attention devoted understanding pathways phase transition two equilibrium condensed phases liquids solids however microscopic pathways transition involving nonequilibrium nondiffusive amorphous glassy phases still remain poorly understood work employed computer simulations persistence homology tool rooted topological data analysis machine learning probe microscopic pathway pressureinduced nonequilibrium transition low highdensity amorphous lda hda respectively ice phases tip4p2005 st2 water models using persistence homology machine learning introduced new order parameter unambiguously identifies lda hdalike local environments lda phase transitions continuously collectively corresponding hda phase via preordered intermediate phase isothermal compression local order parameter susceptibilities show maximum near transition pressure psuggesting maximum structural heterogeneities near p hdalike clusters structurally ramified spatially delocalized inside lda phase near transition pressure also found manifestations firstorder lowdensity highdensity liquid transition sharpness order parameter change lda hda transition investigated geometrical structures topologies lda hda ices formed via different protocols also studied dependence microscopic pathway phase transition protocol followed prepare initial lda phase finally method adopted study phase transition pathways restricted system consideration provides robust way probing phase transition pathways involving two condensed phases equilibrium outofequilibrium conditions