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Reversible solid oxide cells can provide efficient and cost-effective scheme for electrical-energy storage applications. However, this technology faces many challenges from material development to system-level operational parameters , which should be tackle for practical purposes. Accordingly, this study focuses on developing novel robust artificial intelligence-based blackbox models to optimize operational variables of the system. A genetic-programming algorithm is used for Pareto modeling of reversible solid oxide cells in a multi-objective fashion based on experimental input-output data. The robustness of the obtained optimal model evaluated using Monte Carlo simulations technique. An optimization study adopted to optimize the operating parameters, such as temperature and fuel composition using a differential evolution algorithm. The objective functions that have been considered for Pareto multi-objective modeling process are training error and model complexity. In addition, the discrepancy between maximum and minimum output voltage in the whole operation of the system is chosen as the optimization process objective function. The robustness of the optimal trade-off model is shown in terms of statistical indices for varied uncertainty levels from 1 to 10%. The optimized operational condition based on the suggested model reveals optimal intermediate temperature of 762 °C and fuel mixture of about 29% H 2 , 25% H 2 O, and 14% CO.

From result of the study it can be concluded Group B samples showed significantly superior seal when compared with Group A. Complete seal was not observed in any of Group A samples.

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The Saharjuri Outlier is one of the three coal-bearing areas in the Deogarh Coalfield. There have been doubts about the age and stratigraphical position of these beds. A recent collection of plant megafossils from Chitra Mine Area in the Saharjuri Outlier shows the presence of Gangamopteris maheshwarii sp. nov., Gangamopteris obovata Carruthers, Glossopteris deogarhensis sp. nov. Glossopteris linearis Feistmantel, Glossopteris decipiens Feistmantel, Noeggerathiopsis conspicua Lele & Makada, Noeggerathiopsis saharjuriensis sp. nov, Noeggerathiopsis bihariensis sp. nov., Cordaicarpus sp., Samaropsis sp. and Vertebraria indica Royle, Overall assemblage is characteristically basal Barakar in composition, having close similarity to some of the known assemblages from the Karharbari "Formation"/"Stage" (Noeggerathiopsis - Gangamopteris Assemblage Zone).