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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

Significant progress in predicting the crystal structures of small organic molecules ¿ a report on the fourth blind test.

Day, G.M., Cooper, T.G., Cruz-Cabeza, A., Hejczyk, K.E., Ammon, H.L., Boerrigter, S.X.M., Tan, J.S., Della Valle, R.G., Venuti, E., Jose, J., Gadre, S.R., Desiraju, G.R., Thakur, T.S., van Eijck, B.P., Facelli, J.C., Bazterra, V.E., Ferraro, M.B., Hofmann, D.W.M., Neumann, M.A., Leusen, Frank J.J., Kendrick, John, Price, S.L., Misquitta, A.J., Karamertzanis, P.G., Welch, G.W.A., Scheraga, H.A., Arnautova, Y.A., Schmidt, M.U., van de Streek, J., Wolf, A.K., Schweizer, B. 04 January 2009 (has links)
No / We report on the organization and outcome of the fourth blind test of crystal structure prediction, an international collaborative project organized to evaluate the present state in computational methods of predicting the crystal structures of small organic molecules. There were 14 research groups which took part, using a variety of methods to generate and rank the most likely crystal structures for four target systems: three single-component crystal structures and a 1:1 cocrystal. Participants were challenged to predict the crystal structures of the four systems, given only their molecular diagrams, while the recently determined but as-yet unpublished crystal structures were withheld by an independent referee. Three predictions were allowed for each system. The results demonstrate a dramatic improvement in rates of success over previous blind tests; in total, there were 13 successful predictions and, for each of the four targets, at least two groups correctly predicted the observed crystal structure. The successes include one participating group who correctly predicted all four crystal structures as their first ranked choice, albeit at a considerable computational expense. The results reflect important improvements in modelling methods and suggest that, at least for the small and fairly rigid types of molecules included in this blind test, such calculations can be constructively applied to help understand crystallization and polymorphism of organic molecules.
2

Report on the sixth blind test of organic crystal-structure prediction methods

Reilly, A.M., Cooper, R.I., Adjiman, C.S., Bhattacharya, S., Boese, D.A., Brandenburg, J.G., Bygrave, P.J., Bylsma, R., Campbell, J.E., Car, R., Case, D.H., Chadha, R., Cole, J.C., Cosburn, K., Cuppen, H.M., Curtis, F., Day, G.M., DiStasio, R.A. Jr, Dzyabchenko, A., van Eijck, B.P., Elking, D.M., van den Ende, J.A., Facelli, J.C., Ferraro, M.B., Fusti-Molnar, L., Gatsiou, C-A., Gee, T.S., de Gelder, R., Ghiringhelli, L.M., Goto, H., Grimme, S., Guo, R., Hofmann, D.W.M., Hoja, J., Hylton, R.K., Iuzzolino, L., Jankiewicz, W., de Jong, D.T., Kendrick, John, de Klerk, N.J.J., Ko, H-Y., Kuleshova, L.N., Li, X., Lohani, S., Leusen, Frank J.J., Lund, A.M., Lv, J., Ma, Y., Marom, N., Masunov, A.E., McCabe, P., McMahon, D.P., Meekes, H., Metz, M.P., Misquitta, A.J., Mohamed, S., Monserrat, B., Needs, R.J., Neumann, M.A., Nyman, J., Obata, S., Oberhofer, H., Oganov, A.R., Orendt, A.M., Pagola, G.I., Pantelides, C.C., Pickard, C.J., Podeszwa, R., Price, L.S., Price, S.L., Pulido, A., Read, M.G., Reuter, K., Schneider, E., Schober, C., Shields, G.P., Singh, P., Sugden, I.J., Szalewicz, K., Taylor, C.R., Tkatchenko, A., Tuckerman, M.E., Vacarro, F., Vasileiadis, M., Vazquez-Mayagoitia, A., Vogt, L., Wang, Y., Watson, R.E., de Wijs, G.A., Yang, J., Zhu, Q., Groom, C.R. 04 April 2016 (has links)
Yes / The sixth blind test of organic crystal-structure prediction (CSP) methods has been held, with five target systems: a small nearly rigid molecule, a polymorphic former drug candidate, a chloride salt hydrate, a co-crystal, and a bulky exible molecule. This blind test has seen substantial growth in the number of submissions, with the broad range of prediction methods giving a unique insight into the state of the art in the field. Significant progress has been seen in treating flexible molecules, usage of hierarchical approaches to ranking structures, the application of density-functional approximations, and the establishment of new workflows and best practices for performing CSP calculations. All of the targets, apart from a single potentially disordered Z0 = 2 polymorph of the drug candidate, were predicted by at least one submission. Despite many remaining challenges, it is clear that CSP methods are becoming more applicable to a wider range of real systems, including salts, hydrates and larger flexible molecules. The results also highlight the potential for CSP calculations to complement and augment experimental studies of organic solid forms. / EPSRC (grants EP/J01110X/1 and EP/K018132/1) and the European Research Council under the European Union’s Seventh Framework Programme (FP/2007-2013)/ERC through grant agreements n. 307358 (ERC-stG- 2012-ANGLE) and n. 321156 (ERC-AG-PE5-ROBOT). The Russian Foundation (14-03-01091). GlaxoSmithKline, Merck, and Vertex. VIDI Research Program 700.10.427, which is financed by The Netherlands Organisation for Scientific Research (NWO), and the European Research Council (ERC-2010-StG, grant agreement n. 259510-KISMOL). Foundation for Fundamental Research on Matter (FOM). NSF grant number ACI-1053575. University of Buenos Aires and the Argentinian Research Council. Conflex Corp. and Ministry of Education, Culture, Sports, Science and Technology. Louisiana Board of Regents Award # LEQSF(2014-17)-RD-A-10 “Toward Crystal Engineering from First Principles”, the NSF award # EPS-1003897 “The Louisiana Alliance for Simulation-Guided Materials Applications (LA-SiGMA)”, and by the Tulane Committee on Research Summer Fellowship. Solar Technologies Go Hybrid initiative of the State of Bavaria, Germany. U.S. Department of Energy under contract DE-AC02-06CH11357. EPSRC (EP/J003840/1, EP/J014958/1) and [EP/J017639/1]. Leadership Fellowship Grant [EP/K013688/1]. Robinson College, Cambridge, and the Cambridge Philosophical Society for a Henslow Research Fellowship. Army Research Office under Grant W911NF-13-1- 0387 and by the National Science Foundation Grant CHE-1152899. Polish National Science Centre Grant No. DEC-2012/05/B/ST4/00086. EPSRC, though grant ESPRC EP/K039229/1, and Eli Lilly. The PhD students support: RKH by a joint UCL Max-Planck Society Magdeburg Impact studentship, REW by a UCL Impact studentship; LI by the Cambridge Crystallographic Data Centre and the M3S Centre for Doctoral Training (EPSRC EP/G036675/1). Army Research Office Grant W911NF-13-1-0387 and by the National Science Foundation Grant CHE-1152899. U.S. Army Research Laboratory and the U.S. Army Research Office under contract/grant number W911NF-13-1-0387 (MET and LV) and MRSEC program of the National Science Foundation under Award Number DMR-1420073 (MET and ES). U.S. Army Research Laboratory and the U.S. Army Research Office contract/grant number W911NF-13-1- 0387 and by the National Science Foundation Grant CHE-1152899. National Science Foundation (DMR-1231586), the Government of Russian Federation (Grant No. 14.A12.31.0003), the Foreign Talents Introduction and Academic Exchange Program (No. B08040) and the Russian Science Foundation, project no. 14-43-00052, base organization Photochemistry Center of the Russian Academy of Sciences. Army Research Office Grant W911NF-13-1-0387 and the National Science Foundation Grant CHE-1152899. Deutsche Forschungsgemeinschaft program DFG-SPP 1807. Department of Energy (DOE) Grant Nos. DE-SC0008626. Office of Science of the U.S. Department of Energy Contract No. DE-AC02-06CH11357. Office of Science of the U.S. Department of Energy contract No. DEAC02-05CH11231.
3

Den osynliga ingrediensen : Hur namnval styr konsumentensuppfattning / The invisible ingredient : How name choices shape consumer perception

Flodberg, Rasmus, Olsson, Albin January 2024 (has links)
Naming a dish or a product may seem straightforward, but the influence of the name can have a significant impact on how it is ultimately perceived, with the use of sensory descriptions potentially enhancing the value of a dish. The purpose of the study is to investigate how name descriptions affect consumer perceptions. The study was conducted at the School of Hospitality, Culinary Arts & Meal Science in Grythyttan with the participation of 37 individuals, who took part in a sensory test. The sensory evaluation was conducted using a liking test and CATA. The results of the study show that expectations and name influence play a significant role in consumer perceptions. The name of a dish, such as "crisis,""homemade," or "gourmet," creates both positive and negative expectations for the guest, which in turn enhances or diminishes the perception of a product and can be crucial in the choice of dish.

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