CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION), Journal Year: 2022, Volume and Issue: 43(3), P. 611 - 635
Published: Feb. 2, 2022
Language: Английский
CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION), Journal Year: 2022, Volume and Issue: 43(3), P. 611 - 635
Published: Feb. 2, 2022
Language: Английский
The Journal of Chemical Physics, Journal Year: 2022, Volume and Issue: 156(12)
Published: March 2, 2022
Kinetic Monte Carlo (KMC) simulations in combination with first-principles (1p)-based calculations are rapidly becoming the gold-standard computational framework for bridging gap between wide range of length scales and time over which heterogeneous catalysis unfolds. 1p-KMC provide accurate insights into reactions surfaces, a vital step toward rational design novel catalysts. In this Perspective, we briefly outline basic principles, challenges, successful applications, as well future directions opportunities promising ever more popular kinetic modeling approach.
Language: Английский
Citations
65Catalysis Science & Technology, Journal Year: 2021, Volume and Issue: 12(1), P. 12 - 37
Published: Oct. 12, 2021
Enhanced sampling ab initio simulations enable to study chemical phenomena in catalytic systems including thermal effects & anharmonicity, collective dynamics describing enthalpic entropic contributions, which can significantly impact on reaction free energy landscapes.
Language: Английский
Citations
64Physical Chemistry Chemical Physics, Journal Year: 2021, Volume and Issue: 23(19), P. 11155 - 11179
Published: Jan. 1, 2021
Machine learning algorithms can facilitate the reaction prediction in heterogeneous catalysis.
Language: Английский
Citations
61Process Safety and Environmental Protection, Journal Year: 2022, Volume and Issue: 184, P. 39 - 58
Published: May 27, 2022
Language: Английский
Citations
51CHINESE JOURNAL OF CATALYSIS (CHINESE VERSION), Journal Year: 2022, Volume and Issue: 43(3), P. 611 - 635
Published: Feb. 2, 2022
Language: Английский
Citations
43