Zobrazeno 1 - 10
of 45
pro vyhledávání: '"Mykhaylo, Krykunov"'
Publikováno v:
The Journal of Physical Chemistry C. 124:27996-28005
Metal–organic frameworks (MOFs) have garnered interest as potential solid sorbent materials for postcombustion CO2 capture. With a seemingly infinite design space, high-throughput computational scr...
Autor:
Sean P. Collins, Mykhaylo Krykunov, Tom K. Woo, Sai Gokul Subraveti, Kasturi Nagesh Pai, Thomas Burns, Arvind Rajendran
Publikováno v:
Environmental Science & Technology. 54:4536-4544
Postcombustion CO2 capture and storage (CCS) is a key technological approach to reducing greenhouse gas emission while we transition to carbon-free energy production. However, current solvent-based CO2 capture processes are considered too energetical
Publikováno v:
The Journal of Physical Chemistry C. 123:4133-4139
This work is devoted to the development of quantitative structure–property relationship (QSPR) models using machine learning to predict CO2 working capacity and CO2/H2 selectivity for precombustion...
Autor:
Thomas D, Burns, Kasturi Nagesh, Pai, Sai Gokul, Subraveti, Sean P, Collins, Mykhaylo, Krykunov, Arvind, Rajendran, Tom K, Woo
Publikováno v:
Environmental sciencetechnology. 54(7)
Postcombustion CO
Publikováno v:
Journal of Chemical Theory and Computation. 13:2858-2869
Periodic frameworks that possess a net charge, such as zeolites, are an important class of materials in wide use. For guest-host interactions to be simulated in these materials, partial atomic charges are often used. In this work, we investigate two
Autor:
Tom K. Woo, Mykhaylo Krykunov
Publikováno v:
Journal of chemical theory and computation. 14(10)
Understanding the performance of machine learning algorithms is essential for designing more accurate and efficient statistical models. It is not always possible to unravel the reasoning of neural networks. Here, we propose a method for calculating m
Publikováno v:
Molecular Physics. 113:1636-1647
In ΔSCF density functional theory studies of a i → a transition one performs separate fully self-consistent field calculations on the ground state configuration (i)n (n = 1,2) and the excited state configuration (i)n − 1a. The excitation energy
Applications of Time-Dependent and Time-Independent Density Functional Theory to Rydberg Transitions
Publikováno v:
The Journal of Physical Chemistry A. 119:5107-5116
We have benchmarked the performance of time-independent density functional theory (ΔSCF and RSCF-CV-DFT) in studies on Rydberg transitions employing five different standard functionals and a diffuse basis. Our survey is based on 71 triplet or single
Publikováno v:
Journal of Chemical Theory and Computation. 10:3980-3986
The random phase approximation (RPA) equation of adiabatic time dependent density functional ground state response theory (ATDDFT) has been used extensively in studies of excited states. It extracts information about excited states from frequency dep
Publikováno v:
Journal of Chemical Theory and Computation. 10:3299-3307
The first π → π* transition in a number of cyanine dyes was studied using both time dependent and time independent density functional methods using a coupled cluster (CC2) method as the benchmark scheme. On the basis of 10 different functionals,