Source: ACS Omega. Unidade: IQSC
Subjects: FÍSICO-QUÍMICA, ADSORÇÃO, APRENDIZADO COMPUTACIONAL, MOLÉCULA
ABNT
PENA, Lucas B et al. Optimizing molecular descriptors for reliable adsorption energy prediction on transition metal nanoclusters. ACS Omega, 2026Tradução . . Disponível em: https://doi.org/10.1021/acsomega.5c09138. Acesso em: 27 jan. 2026.APA
Pena, L. B., Calderan, F. V., Sousa, P. F., Andriani, K. F., Quiles, M. G., Silva, J. L. F. da, & Galvão, B. R. L. (2026). Optimizing molecular descriptors for reliable adsorption energy prediction on transition metal nanoclusters. ACS Omega. doi:10.1021/acsomega.5c09138NLM
Pena LB, Calderan FV, Sousa PF, Andriani KF, Quiles MG, Silva JLF da, Galvão BRL. Optimizing molecular descriptors for reliable adsorption energy prediction on transition metal nanoclusters [Internet]. ACS Omega. 2026 ;[citado 2026 jan. 27 ] Available from: https://doi.org/10.1021/acsomega.5c09138Vancouver
Pena LB, Calderan FV, Sousa PF, Andriani KF, Quiles MG, Silva JLF da, Galvão BRL. Optimizing molecular descriptors for reliable adsorption energy prediction on transition metal nanoclusters [Internet]. ACS Omega. 2026 ;[citado 2026 jan. 27 ] Available from: https://doi.org/10.1021/acsomega.5c09138
