The Highest Melting Point Material: Searched by Bayesian Global Optimization with Deep Potential Molecular Dynamics

The interest in refractory materials is increasing rapidly in recent decades due to the development of hypersonic vehicles. However, which substance has the highest melting point keeps a secret, since precise measurements in extreme condition are overwhelmingly difficult. In the present work, an accurate deep potential model of Hf-Ta-C-N system was firstly trained, and then applied to search for the highest melting point material by using molecular dynamics simulation and Bayesian global optimization. The predicted melting points agree well with experiments, and confirm that the carbon site vacancy can enhance melting points of rock-salt structure carbides. Solid solution with N is verified as another new and more effective melting point enhancing approach for HfC, while the conventional routing of solid solution with Ta (e.g. HfTa4C5) is not suggested to result in a maximum melting point. The highest melting point (~ 4236 K) is achieved with composition of HfC0.638N0.271, which is ~ 80 K higher than the highest value in Hf-C binary system. The dominating mechanism of N addition is believed to be the instable C-N and N-N bonds in liquid phase, which reduces the liquid phase entropy and renders the liquid phase less stable. The improved melting point and fewer gas generation during oxidation by addition of N provides new routing to modify the thermal protection materials for hypersonic vehicles

Composition and characteristics of Libyan flora

The composition, life forms and the distribution of plants in Libya were studied. The results show that in Libya there are 2103 species that belong to 856 genera and 155 families. The distribution among Libyan seed plants was characterized by a high proportion of herbs (annual to perennial), unlike the low number of woody (tree and shrub) species; these have an important influence on the structure of floral composition. The geographic element of the flora was predominantly tropical and Mediterranean. The local plants belong to representative tropical desert flora. The presence and distribution characteristics of flora in Libya show that climate, environmental condition, ecological amplitude and adaptive capacity of the plants have a determinative influence on the floristic stock in the area studies

Exploring the Collective Phenomenon at the Electron-Ion Collider

Based on rare fluctuations in strong interactions, we argue that there is a strong physical resemblance between the high multiplicity events in photo-nuclear collisions and those in $pA$ collisions, in which interesting long range collective phenomena are discovered. This indicates that the collectivity can also be studied in certain kinematic region of the upcoming Electron-Ion Collider (EIC) where the incoming virtual photon has a sufficiently long lifetime. Using a model in the Color Glass Condensate formalism, we first show that the initial state interactions can explain the recent ATLAS azimuthal correlation results measured in the photo-nuclear collisions, and then we provide quantitative predictions for the long range correlations in $eA$ collisions in the EIC regime. With the unprecedented precision and the ability to change the size of the collisional system, the high luminosity EIC will open a new window to explore the physical mechanism responsible for the collective phenomenon.Comment: 6 pages, 3 figures; published versio

A novel method of analyzing proline synonymous codons in E. coli

AbstractProline is a special imino acid in protein and the isomerization of the prolyl peptide bond has notable biological significance and influences the final structure of protein greatly, so the correlation between proline synonymous codon usage and local amino acid, the correlation between proline synonymous codon usage and the isomerization of the prolyl peptide bond were both investigated in the Escherichia coli genome by using a novel method based on information theory. The results show that in peptide chain, the residue at the first position C-terminal influences the usage of proline synonymous codon greatly and proline synonymous codons contain some factors influencing the isomerization of the prolyl peptide bond

Monodisperse Branched Molybdenum‐Based Bioactive Nanoparticles Significantly Promote Osteogenic Differentiation of Adipose‐Derived Stem Cells

Adipose‐derived stem cells (ADSCs) are considered to be ideal stem cell sources for bone‐tissue regeneration owing to their ease of collection and high activity. However, the regulation of osteogenic differentiation of ADSCs using biomaterials without adding growth factors is still not satisfactory. For the first time, molybdenum‐doped bioactive glass nanoparticles with a radial porous morphology (Mo‐rBGNs) are reported and their role in the osteogenic differentiation of ADSCs is investigated. The results show that Mo‐rBGNs exhibit radially porous and spherical morphology, relatively homogeneous particle size (200–400 nm), and excellent apatite‐forming bioactivity. They do not affect the proliferation of ADSCs, but significantly regulate their osteogenic differentiation and biomineralization. 5% Mo‐rBGNs significantly enhance the alkaline phosphatase activity and biomineralization ability and promote the osteogenic gene expressions of collagen I secretion and bone sialo protein in ADSCs. A reasonable and promising strategy for designing nanoscale bioactive materials with the excellent osteogenic ability for stem cell–based bone tissue regeneration is provided.Molybdenum‐doped bioactive glass nanoparticles with a radial porous morphology (Mo‐rBGNs) are reported. Mo‐rBGNs exhibit excellent apatite‐forming bioactivity and significantly regulate the osteogenic differentiation and biomineralization of adipose‐derived stem cells (ADSCs). 5% Mo‐rBGNs significantly enhance the alkaline phosphatase activity and osteogenic gene expressions of collagen I secretion and bone sialo protein in ADSCs.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/150603/1/ppsc201900105-sup-0001-S1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150603/2/ppsc201900105.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/150603/3/ppsc201900105_am.pd