Thermo Data Engine (TDE): Software Implementation of the Dynamic Data Evaluation Concept. 5. Experiment Planning and Product Design
- Authors
- Diky, Vladimir; Chirico, Robert D.; Kazakov, Andrei F.; Muzny, Chris D.; Magee, Joseph W.; Abdulagatov, Ilmutdin; Kang, Jeong Won; Kroenlein, Kenneth; Frenkel, Michael
- Issue Date
- 1월-2011
- Publisher
- AMER CHEMICAL SOC
- Citation
- JOURNAL OF CHEMICAL INFORMATION AND MODELING, v.51, no.1, pp.181 - 194
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF CHEMICAL INFORMATION AND MODELING
- Volume
- 51
- Number
- 1
- Start Page
- 181
- End Page
- 194
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/113323
- DOI
- 10.1021/ci100373t
- ISSN
- 1549-9596
- Abstract
- Thermo Data Engine (TDE) is the first full-scale software implementation of the dynamic data evaluation concept, as reported recently in this journal. In the present paper, we describe development of an algorithmic approach to assist experiment planning through assessment of the existing body of knowledge, including availability of experimental thermophysical property data, variable ranges studied, associated uncertainties, state of prediction methods, and parameters for deployment of prediction methods and how these parameters can be obtained using targeted measurements, etc., and, indeed, how the intended measurement may address the underlying scientific or engineering problem under consideration. A second new feature described here is the application of the software capabilities for aid in the design of chemical products through identification of chemical systems possessing desired values of thermophysical properties within defined ranges of tolerance. The algorithms and their software implementation to achieve this are described. Finally, implementation of a new data validation and weighting system is described for vapor-liquid equilibrium (VLE) data, and directions for future enhancements are outlined.
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Collections - Graduate School of Energy and Environment (KU-KIST GREEN SCHOOL) > Department of Energy and Environment > 1. Journal Articles
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