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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Number of items: 8.

Dix, James and Lue, Leo and Carbone, Paola (2018) Why different water models predict different structures under 2D confinement. Journal of Computational Chemistry, 39 (25). pp. 2051-2059. ISSN 0192-8651

Jorge, Miguel and Garrido, Nuno M. and Simões, Carlos J. V. and Silva, Cândida G. and Brito, Rui M. M. (2017) Predicting hydrophobic solvation by molecular simulation : 1. testing united-atom alkane models. Journal of Computational Chemistry, 38 (6). 346–358. ISSN 0192-8651

Jorge, Miguel (2017) Predicting hydrophobic solvation by molecular simulation : 2. new united-atom model for alkanes, alkenes and alkynes. Journal of Computational Chemistry, 38 (6). 359–369. ISSN 0192-8651

Bannerman, M. N. and Sargant, R. and Lue, L. (2011) DynamO : a free O(N) general event-driven molecular dynamics simulator. Journal of Computational Chemistry, 32 (15). pp. 3329-3338. ISSN 0192-8651

Sergiievskyi, Volodymyr P. and Hackbusch, Wolfgang and Fedorov, Maxim V. (2011) Multigrid solver for the reference interaction site model of molecular liquids theory. Journal of Computational Chemistry, 32 (9). pp. 1982-1992. ISSN 0192-8651

Chuev, Gennady N. and Fedorov, Maxim V. and Chiodo, Sandro and Russo, Nino and Sicilia, Emilia (2008) Hydration of ionic species studied by the reference interaction site model with a repulsive bridge correction. Journal of Computational Chemistry, 29 (14). pp. 2406-2415. ISSN 0192-8651

Chuev, G N and Fedorov, M V (2004) Wavelet algorithm for solving integral equations of molecular liquids. A test for the reference interaction site model. Journal of Computational Chemistry, 25 (11). pp. 1369-1377. ISSN 0192-8651

Sefcik, J and Demiralp, E and Cagin, T and Goddard, W A (2002) Dynamic Charge Equilibration-morse stretch force field : application to energetics of pure silica zeolites. Journal of Computational Chemistry, 23 (16). pp. 1507-1514. ISSN 0192-8651

This list was generated on Tue Aug 4 01:34:07 2020 BST.