Integrated Recycling of Lignin-Containing Wood Waste

The recycling of wood processing waste generated at pulp and paper and woodworking enterprises by reusing it in obtaining a high-yield semi-finished product for the production of paper and cardboard has been studied. The economic and environmental feasibility of wood waste recovery is beyond doubt. The aim has been to develop technology and modes for recycling wood waste from the production of high-yield pulp (birch sawdust) and woodworking (coniferous and the mix of coniferous and deciduous chips). In the course of the study, high-yield pulp has been obtained from birch sawdust using continuous technology (at Perm Pulp and Paper Company) and batch technology (at most pulp and paper industry enterprises). Cooking of wood chips has been carried out only using batch technology. It is shown that the recycling of birch sawdust to produce a fibrous semi-finished product for use in the production of paper and cardboard solves an important economic problem of the pulp and paper industry, which is the need to reduce the consumption of pulpwood and preserve forest resources. The process of recycling wood waste does not require changes to current technology. This produces high-yield pulp, which in terms of quality is not inferior to a similar semi-finished product made from birch technological chips and meets the enterprise standards. It has been revealed that wood chips from coniferous and deciduous wood from woodworking enterprises can also be used as a raw material for the production of high-yield pulp, but only together with sawdust from birch wood. High-yield pulp from the chips of coniferous and the mix of coniferous and deciduous wood is obtained with increased yield, but with low mechanical strength, since the neutral-sulfite method is intended for the production of a fibrous semi-finished product only from deciduous wood; coniferous wood is not boiled using this method. High-yield pulp with quality indicators corresponding to the enterprise standards from technological chips is produced by the ratios of chips and sawdust of 50:50 and 70:30. The yield of the semi-finished product from the raw materials of all used compositions is high – 75…82 %. Tests of high-yield pulp obtained from birch sawdust have shown that the fibrous semi-finished product can replace 20 % of the MS-5B waste paper mass in production in the production of paper and cardboard compositions

Solving the Quantum Many-Body Problem via Correlations Measured with a Momentum Microscope

In quantum many-body theory, all physical observables are described in terms of correlation functions between particle creation or annihilation operators. Measurement of such correlation functions can therefore be regarded as an operational solution to the quantum many-body problem. Here, we demonstrate this paradigm by measuring multiparticle momentum correlations up to third order between ultracold helium atoms in an s-wave scattering halo of colliding Bose-Einstein condensates, using a quantum many-body momentum microscope. Our measurements allow us to extract a key building block of all higher-order correlations in this system - the pairing field amplitude. In addition, we demonstrate a record violation of the classical Cauchy-Schwarz inequality for correlated atom pairs and triples. Measuring multiparticle momentum correlations could provide new insights into effects such as unconventional superconductivity and many-body localization.This work was supported through Australian Research Council (ARC) Discovery Project Grants No. DP120101390, No. DP140101763, and No. DP160102337. S. S. H. is supported by ARC Discovery Early Career Researcher Award No. DE150100315. A. G. T. is supported by ARC Future Fellowship Grant No. FT100100468

Ghost imaging with atoms and photons for remote sensing

Ghost imaging with correlated photon pairs has been applied to remote sensing without the spatially detected photons interacting with the object: here we demonstrate for the first time ghost imaging using correlated atom pairs.A.G.T. acknowledges the support of the Australian Research Council (ARC) through the Future Fellowship grant FT100100468 and the Discovery grant DP120101390. S.S.H. acknowledges the support of the ARC through the DECRA Fellowship DE150100315. We thank A. T. Friberg for discussions

The seventh blind test of crystal structure prediction: structure generation methods.

Publication status: PublishedA seventh blind test of crystal structure prediction was organized by the Cambridge Crystallographic Data Centre featuring seven target systems of varying complexity: a silicon and iodine-containing molecule, a copper coordination complex, a near-rigid molecule, a cocrystal, a polymorphic small agrochemical, a highly flexible polymorphic drug candidate, and a polymorphic morpholine salt. In this first of two parts focusing on structure generation methods, many crystal structure prediction (CSP) methods performed well for the small but flexible agrochemical compound, successfully reproducing the experimentally observed crystal structures, while few groups were successful for the systems of higher complexity. A powder X-ray diffraction (PXRD) assisted exercise demonstrated the use of CSP in successfully determining a crystal structure from a low-quality PXRD pattern. The use of CSP in the prediction of likely cocrystal stoichiometry was also explored, demonstrating multiple possible approaches. Crystallographic disorder emerged as an important theme throughout the test as both a challenge for analysis and a major achievement where two groups blindly predicted the existence of disorder for the first time. Additionally, large-scale comparisons of the sets of predicted crystal structures also showed that some methods yield sets that largely contain the same crystal structures

The seventh blind test of crystal structure prediction: structure generation methods

A seventh blind test of crystal structure prediction was organized by the Cambridge Crystallographic Data Centre featuring seven target systems of varying complexity: a silicon and iodine-containing molecule, a copper coordination complex, a near-rigid molecule, a cocrystal, a polymorphic small agrochemical, a highly flexible polymorphic drug candidate, and a polymorphic morpholine salt. In this first of two parts focusing on structure generation methods, many crystal structure prediction (CSP) methods performed well for the small but flexible agrochemical compound, successfully reproducing the experimentally observed crystal structures, while few groups were successful for the systems of higher complexity. A powder X-ray diffraction (PXRD) assisted exercise demonstrated the use of CSP in successfully determining a crystal structure from a low-quality PXRD pattern. The use of CSP in the prediction of likely cocrystal stoichiometry was also explored, demonstrating multiple possible approaches. Crystallographic disorder emerged as an important theme throughout the test as both a challenge for analysis and a major achievement where two groups blindly predicted the existence of disorder for the first time. Additionally, large-scale comparisons of the sets of predicted crystal structures also showed that some methods yield sets that largely contain the same crystal structures