| AIChE

Where chemical engineers mix it up.

Thermochemical data fusion using graph representation learning

H. Bhattacharjee and Vlachos, D. G., “Thermochemical data fusion using graph representation learning”, Journal of Chemical Information and Modeling, vol. 60, pp. 4673-4683, 2020.

A Systematic Framework for the synthesis of operable process intensification systems - Reactive separation systems

Y. Tian, Pappas, I., Burnak, B., Katz, J., and Pistikopoulos, E. N., “A Systematic Framework for the synthesis of operable process intensification systems - Reactive separation systems”, Computers & Chemical Engineering, vol. 134, p. 106675, 2020.

Sustainable district energy integrating biomass peaking with geothermal baseload heating: A case study of decarbonizing Cornell’s energy system

N. Kassem, Hockey, J., Beyers, S., Lopez, C., Goldfarb, J. L., Angenent, L. T., and Tester, J. W., “Sustainable district energy integrating biomass peaking with geothermal baseload heating: A case study of decarbonizing Cornell’s energy system”, Journal of Renewable and Sustainable Energy, vol. 12, p. 066302, 2020.

Surrogate-based optimization for mixed-integer nonlinear problems

S. Hye Kim and Boukouvala, F., “Surrogate-based optimization for mixed-integer nonlinear problems”, Computers & Chemical Engineering, vol. 140, p. 106847, 2020.

Stability of heterogeneous single-atom catalysts: a scaling law mapping thermodynamics to kinetics

Y. Qiong Su, Zhang, L., Wang, Y., Liu, J. Xun, Muravev, V., Alexopoulos, K., Filot, I. A. W., Vlachos, D. G., and Hensen, E. J. M., “Stability of heterogeneous single-atom catalysts: a scaling law mapping thermodynamics to kinetics”, npj Computational Materials, vol. 6, p. 144, 2020.

Sour Gas Sweetening Technologies for Distributed Resources – A Process Simulation Study

S. Xu, Deng, Y., Cremaschi, S., Eden, M., Webb, K., Wright, H., and Dimick, P., “Sour Gas Sweetening Technologies for Distributed Resources – A Process Simulation Study”, in 30th European Symposium on Computer Aided Process Engineering, 2020, vol. 48, pp. 1483-1488.

Solvent selection for biphasic extraction of 5-hydroxymethylfurfural: Via multiscale modeling and experiments

Z. Wang, Bhattacharyya, S., and Vlachos, D. G., “Solvent selection for biphasic extraction of 5-hydroxymethylfurfural: Via multiscale modeling and experiments”, Green Chemistry, vol. 22, pp. 8699-8712, 2020.

Sensitivity Analysis of Desulfurization Costs for Small-Scale Natural Gas Sweetening Units

Y. Deng, Xu, S., Webb, K., Wright, H., Dimick, P. S., Cremaschi, S., and Eden, M. R., “Sensitivity Analysis of Desulfurization Costs for Small-Scale Natural Gas Sweetening Units”, in Computer Aided Chemical Engineering, vol. 48, S. Pierucci, Manenti, F., Bozzano, G. Luisa, and Manca, D., Eds. Elsevier, 2020, pp. 973–978.

Selective laser melting of 304L stainless steel: Role of volumetric energy density on the microstructure, texture and mechanical properties

M. Ghayoor, Lee, K., He, Y., Chang, Chung, Paul, B. K., and Pasebani, S., “Selective laser melting of 304L stainless steel: Role of volumetric energy density on the microstructure, texture and mechanical properties”, Additive Manufacturing, vol. 32, p. 101011, 2020.

Selective and Efficient Production of Biomass-Derived Vinylfurans

S. Prodinger, Verstreken, M. F. K., and Lobo, R. F., “Selective and Efficient Production of Biomass-Derived Vinylfurans”, ACS Sustainable Chemistry & Engineering, vol. 8, pp. 11930-11939, 2020.

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