Abstract
Nowadays, the issue of CO2 conversion becomes an urgent necessity for human civilization, which any ignorant will be caused irreparable damage to the future of human life. Thus, all researchers in the CO2 utilization field have been employed their facilities to overcome the CO2 issue. In the past decade, computational chemical modeling was mainly used to describe the observed results of a carried out reaction. Nowadays, regarding the rapid evolution of computational software and hardware, computational chemical sciences have been converted to powerful tools in the description of the obtained results, studying the mechanism of a reaction and designing the novel structures. The use of computational techniques in the investigation of CO2 transformation to value-added chemicals affords brilliant results that attract remarkable attention among scientists. Among various theoretical techniques, density functional theory (DFT) modeling is a powerful and efficient approach to explore the mechanisms of CO2 conversion and investigate novel catalysts for more efficient CO2 transformation. DFT-based approaches are valuable strategies to overcome the disadvantages of trial-and-error experimental processes such as tedious and time-/labor-consuming repetitions. In this chapter, a comprehensive discussion by the DFT calculations is represented about the investigation of the mechanism of the catalytic CO2 transformation into value-added materials such as CO, CH4, CH3OH, HCOOH, and heterocyclic compounds in the presence of heterogeneous, homogeneous, organo-based, and photo- and electro-catalysts. Moreover, the DFT-based design of novel catalytic systems, challenges, and opportunities in CO2 transformations is outlined.
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Abbreviations
- AFIL:
-
Amine-functionalized ionic liquid
- BDN:
-
1,8-Bis(diethylamino) naphthalenes
- PNP(Ph):
-
2,6-Bis(diphenylphosphino) methylpyridine
- PNP(tBu):
-
2,6-Bis(di-tert-butylphosphino) methylpyridine
- BCP:
-
Bond critical point
- CBM:
-
Conduction band minimum
- DFT:
-
Density functional theory
- DBN:
-
Diazabicyclo[4.3.0]non-5-ene
- DBU:
-
1,8-Diazabicyclo[5.4.0]undec-7-ene
- DNP:
-
Double numeric plus polarization
- ECP:
-
Effective core potentials
- ESM:
-
Energetic span model
- EGR:
-
Enhanced gas recovery
- EGS:
-
Enhanced geothermal systems
- EOR:
-
Enhanced oil recovery
- FLP:
-
Frustrated Lewis pair
- GGA:
-
Generalized gradient approximation
- GO:
-
Graphene oxide
- HOMO:
-
High occupied molecular orbital
- HER:
-
Hydrogen evolution reaction
- HFC:
-
Hydrofluorocarbon
- IEF:
-
Integral equation formalism
- IEFPCM:
-
Integral equation formalism polarizable continuum model
- IPCC:
-
International Panel on Climate Change
- N k :
-
Local nucleophilicity indices
- LUMO:
-
Low unoccupied molecular orbital
- MOF:
-
Metal−organic framework
- MESP:
-
Molecular electrostatic potential
- MO:
-
Molecular orbitals
- \(P_{k}^{ - }\) :
-
Mulliken atomic spin density
- NBO:
-
Natural bond orbital
- NHC:
-
N-heterocyclic carbine
- NHO:
-
N-heterocyclic olefin
- NHE:
-
Normal hydrogen electrode
- NMR:
-
Nuclear magnetic resonance
- PAW:
-
Projector-augmented wave
- PBE:
-
Perdew−Burke−Ernzerhof
- PW:
-
Perdew–Wang
- PFC:
-
Perfluorocarbon
- PR:
-
Phosphorous reagent
- P-ylide:
-
Phosphorus ylide
- PCM:
-
Polarizable continuum model
- PED:
-
Potential energy diagram
- TsCl:
-
P-Toluenesulfonyl chloride
- QTAIM:
-
Quantum theory of atoms in molecules
- RRKJ:
-
Rappe Rabe Kaxiras Joannopoulos
- RDS:
-
Rate-determining step
- RWGS:
-
Reverse water gas shift
- SEM:
-
Scanning electron microscopy
- SMD:
-
Solvation model based on density
- SFLP:
-
Surface frustrated Lewis pairs
- SB:
-
Superbase
- TBAB:
-
Tetrabutylammonium bromide
- THF:
-
Tetrahydrofuran
- TMG:
-
1,1,3,3-Tetramethylguanidine
- TDI:
-
TOF-determining intermediate
- TDTS:
-
TOF-determining transition state
- TEM:
-
Transmission electron microscopy
- TBD:
-
1,5,7-Triazabicyclo[4.4.0]dec-5-ene
- TOF:
-
Turnover frequency
- VSEPR:
-
Valence shell electron pair repulsion theory
- vdW:
-
Van der Waals
- WGSR:
-
Water gas shift reaction
- XPS:
-
X-ray photoelectron spectroscopy
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Sabet-Sarvestani, H., Izadyar, M., Eshghi, H., Noroozi-Shad, N. (2022). Theoretical Approaches to CO2 Transformations. In: Inamuddin, Boddula, R., Ahamed, M.I., Khan, A. (eds) Carbon Dioxide Utilization to Sustainable Energy and Fuels. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-72877-9_8
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