The role of informatics in combinatorial materials discovery

ACS Symposium Series

Volumn 814, Issue , 2002, Pages 129-145

  Harmon, Laurel A ^a   Schlosser, Steven G ^a   Vayda, Alan J ^a  

^a Life Sciences Informatics Center   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0041365483     PISSN: 00976156     EISSN: None     Source Type: Book Series    
DOI: 10.1021/bk-2002-0814.ch007     Document Type: Article

References (16)

1. Myers, R.H.; Montgomery, D.C. Response surface methodology: process and product optimization; John Wiley and Sons: New York, 1995.
2. Wolf, D.; Buyevskaya, O.V.; Baerns, M. An evolutionary approach in the combinatorial selection and optimization of catalytic materials; Applied Catalysis A: General, 2000, 200, pp. 63-77.
3. Ripley, B.D. Pattern Recognition and Neural Networks; Cambridge University Press: Cambridge, UK, 1996.
4. Brocchini, S.; James, K.; Tangpasuthadol, V.; and Kohn J. Structure-property correlations in a combinatorial library of degradable biomaterials, J. Biomed. Mater. Res. 1998, 42, 66-75.
5. Brocchini, S.; James, K.; Tangpasuthadol, V.; and Kohn J., A combinatorial approach for polymer design; J. Amer. Chem. Soc. 1997, 119(19), 4553-4554.
6. Vogt, R.C., Trenkle, J.M. and Harmon, L.A. Mosaic construction, processing, and review of very large electron micrograph composites; International Symposium on Optical Science, Engineering, and Instrumentation, Proceedings SPIE 2847, Denver, CO, 1996, pp. 2-15.
7. Bem, D.S., et.al. Approaches to Combinatorial Discovery of Materials via Hydrothermal Synthesis; Combi 2000 Conference: Combinatorial Approaches for New Materials Discovery, January 23-25, 2000, San Diego, CA; The Knowledge Foundation: Boston, MA.
8. Neal, R.M. Bayesian Learning for Neural Networks; Springer Lecture Notes in Statistics; Springer-Verlag: New York, 1996.
9. MacKay, D.J.C. Ph.D. thesis, California Institute of Technology, Pasadena, CA, 1991.
10. Williams, C.K.I.; Rasmussen, C.E. In Advances in Neural Information Processing 8; Touretsky, D.S.; Moser, M.C.; and Hasselmo, M.E. Eds.; MIT Press: Boston, MA, 1996.
11. Gilks, W.R.; Richardson, S.; Spiegelhalter, D.J. Markov Chain Monte Carlo in Practice; Chapman & Hall: London, 1996.
12. Falcioni, M.; Deem, M.W. Library Design in Combinatorial Chemistry by Monte Carlo Methods: Phys. Rev. E, 2000, 61, 5948-5952.
13. Cattell, R.G.G. Object Data Management; Addison-Wesley: Reading, MA, 1994.
14. Chaudhri, A.B.; Loomis, M.E.S. Object Databases in Practise; Prentice Hall PTR: Upper Saddle River, NJ, 1998.
15. Stonebraker M.; Brown, P. Object-Relational DBMSs; Morgan Kaufmann: San Francisco, CA, 1999.
16. Boehm, B.W. A Spiral Model of Software Development and Enhancement; Computer, May, 1988, pp 61-72.