TY - GEN
T1 - Design of the Process for Methane-Methanol at Soft Conditions Applied to Selection the Best Descriptors for Periodic Structures Using Artificial Intelligence
AU - Lozada, Josue
AU - Reguera, E.
AU - Aguirre-Velez, C. I.
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
PY - 2022
Y1 - 2022
N2 - Methane is a relevant energy vector in modern society considering both, its natural abundance, and the possibility to be produced from residual biomass through an anaerobic process. While methane is a supercritical gas at room temperature, methanol is a liquid, which facilitates its storage and handling as a fuel. This explains the interest and convenience to have a technology for the methane to methanol conversion. The selective oxidation of methane to methanol in a direct way is currently a challenge because depending on the reaction route different results can be obtained. The use of zeolites materials as support of copper complexes promises a clare way to find conditions in order to realize a catalytic process. There are different parameters involve zeolites with copper complexes that contribute to make a chemical environment for the interaction between methanol and active sites in the structure. Taking into account several structural and physical chemical parameters it is possible to make a selection of the best structures for this conversion process, helping on artificial intelligence algorithms.
AB - Methane is a relevant energy vector in modern society considering both, its natural abundance, and the possibility to be produced from residual biomass through an anaerobic process. While methane is a supercritical gas at room temperature, methanol is a liquid, which facilitates its storage and handling as a fuel. This explains the interest and convenience to have a technology for the methane to methanol conversion. The selective oxidation of methane to methanol in a direct way is currently a challenge because depending on the reaction route different results can be obtained. The use of zeolites materials as support of copper complexes promises a clare way to find conditions in order to realize a catalytic process. There are different parameters involve zeolites with copper complexes that contribute to make a chemical environment for the interaction between methanol and active sites in the structure. Taking into account several structural and physical chemical parameters it is possible to make a selection of the best structures for this conversion process, helping on artificial intelligence algorithms.
KW - Database
KW - Machine learning
KW - Zeolites
UR - http://www.scopus.com/inward/record.url?scp=85125259934&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-96147-3_13
DO - 10.1007/978-3-030-96147-3_13
M3 - Contribución a la conferencia
AN - SCOPUS:85125259934
SN - 9783030961466
T3 - Lecture Notes in Networks and Systems
SP - 157
EP - 167
BT - Trends in Artificial Intelligence and Computer Engineering - Proceedings of ICAETT 2021
A2 - Botto-Tobar, Miguel
A2 - S. Gómez, Omar
A2 - Rosero Miranda, Raul
A2 - Díaz Cadena, Angela
A2 - Montes León, Sergio
A2 - Luna-Encalada, Washington
PB - Springer Science and Business Media Deutschland GmbH
T2 - 3rd International Conference on Advances in Emerging Trends and Technologies, ICAETT 2021
Y2 - 10 November 2021 through 12 November 2021
ER -