Water shows anomalies different from most of other materials.Different sceniaros have been proposed to explain water anomalies,among which the liquid-liquid phase transition(LLPT)is the most discussed one.It attributes water anomalies to the existence of a hypothesized liquid-liquid critical point(LLCP)buried deep in the supercooled region.We briefly review the recent experimental and theoretical progresses on the study of the LLPT in water.These studies include the discussion on the existence of the first order LLPT in supercooled water and the detection of liquid-liquid critical point.Simulational results of different water models for LLPT and the experimental evidence in confined water are also discussed.
Chemical vapor deposition has been the most-promising approach for growing large-area high-quality graphene films on planar substrates. Beyond the lateral growth, the synthesis of three-dimensional （3D） graphene has also been demon- strated recently on metal foams and insulating nanoparticles for exploring their applications in electrochemical electrodes. However, the existing approaches need either to prefabricate abundant starting substrates, or to construct porous frameworks for graphene growth. Herein, we report a straightforward, bioinspired strategy for growing large-quantity graphene flakes on cuttlebone substrates using the chemical vapor deposition （CVD） method. The separated graphene flakes from growth substrates are highly crystalline and layer-thickness controllable, outperforming the traditional chemically exfoliated graphene with few surface groups. Due to their inheriting the biomineral-derived morphology, the 3D graphene microstructures show a highly exposed and curved surface, which can load more MoSx（x ≥ 2） catalysts than other planar supports for highly efficient hydrogen generation. Briefly, the bioinspired approach is expected to achieve a reasonable balance between quality and quantity for graphene production, thus propelling its wide applications in energy storage and conversion devices.
Ke ChenCong LiZhaolong ChenLiurong ShiSathish ReddyHuan MengQingqing JiYanfeng ZhangZhongfan Liu
