Publications (2026)
1. Rimsza, J.; Root, H.; Nenoff, T. Untapped Benefits of Porous Liquids for Gas Capture: Low-Energy Regeneration. Ind. Eng. Chem. Res. 2026, 65, 4, 1947-1957. (https://doi.org/10.1021/acs.iecr.5c03146)
2. Schertzer, W.; Al Otmi, M.; Sampath, J.; Lively, R.; Ramprasad, R. AI-Assisted Physics-Informed Predictions of Degradation Behavior of Polymeric Anion Exchange Membranes. J. Phys. Chem. B 2026, 130, 5, 1684-1693. (https://doi.org/10.1021/acs.jpcb.5c07063)
3. Gonzalez-Casamachin, D. A.; Hu, Y.; Rangarajan, S.; Baltrusaitis, J. Mechanistic Insights for Plasma-Catalytic CO2 Reduction over TiO2 in a Dielectric Barrier Discharge Reactor. ACS Eng. Au 2026. (https://doi.org/10.1021/acsengineeringau.5c00092)
4. Leite, A.; Dias, E. H.; Awotoye, D.; Aransiola, E.; Ammar, M.; Pereira, E.; Ribeiro, C.; Baltrusaitis, J. Sn-Decorated Cu/Cu2O Electrodes Enable Selective CO2 Reduction to Formic Acid under Realistic Flue Gas Streams. ACS Appl. Energy Mater. 2026, 9, 3, 1912-1929. (https://doi.org/10.1021/acsaem.5c03902)
5. Guta, Y.; Nezam, I.; Carneiro, J.; Waters, S.; Burentugs, E.; Sievers, C.; Jones, C. Effect of Storage Conditions on Efficacy of Poly(ethylenimine)-Alumina CO2 Sorbents. ACS Omega 2026, 11, 8, 13405-13412. (https://doi.org/10.1021/acsomega.5c10742)
6. Andress, T. D.; Seely, C.; Miele, M.; Castoldi, L.; Pace, V.; Dixon, D. Correlated Molecular Orbital Theory Predictions of Hydrogen-Containing Halomethane Thermochemistry: Heats of Formation, C–H Bond Dissociation Energies, and pKa Values. J. Phys. Chem. C 2026, 130, 9, 1790-1803. (https://doi.org/10.1021/acs.jpca.5c08066)
7. Joyner, N.; Sprouse, S.; Herndon, H.; Butler, K.; Kaye, E.; Dixon, D.; Makoś, M. Machine Learning for Accelerated Metal Oxide Thermochemical Predictions. J. Chem. Theory Comput. 2026, 22, 5, 2480-2489. (https://doi.org/10.1021/acs.jctc.5c01798)
8. Rangarajan, S. Learning catalytic kinetic models from data: current and emerging methods. Curr. Opin. Chem. Eng. 2026, 52, 101240. (https://doi.org/10.1016/j.coche.2026.101240)