Modeling Operando Electrochemical CO2 Reduction

F Dattila, RR Seemakurthi, Y Zhou, N López - Chemical Reviews, 2022 - ACS Publications
Since the seminal works on the application of density functional theory and the
computational hydrogen electrode to electrochemical CO2 reduction (eCO2R) and …

[HTML][HTML] Classical and reactive molecular dynamics: Principles and applications in combustion and energy systems

Q Mao, M Feng, XZ Jiang, Y Ren, KH Luo… - Progress in Energy and …, 2023 - Elsevier
Molecular dynamics (MD) has evolved into a ubiquitous, versatile and powerful
computational method for fundamental research in science branches such as biology …

LAMMPS-a flexible simulation tool for particle-based materials modeling at the atomic, meso, and continuum scales

AP Thompson, HM Aktulga, R Berger… - Computer Physics …, 2022 - Elsevier
Since the classical molecular dynamics simulator LAMMPS was released as an open source
code in 2004, it has become a widely-used tool for particle-based modeling of materials at …

Depolymerization of plastics by means of electrified spatiotemporal heating

Q Dong, AD Lele, X Zhao, S Li, S Cheng, Y Wang… - Nature, 2023 - nature.com
Depolymerization is a promising strategy for recycling waste plastic into constituent
monomers for subsequent repolymerization. However, many commodity plastics cannot be …

Effects of interlayer confinement and hydration on capacitive charge storage in birnessite

S Boyd, K Ganeshan, WY Tsai, T Wu, S Saeed… - Nature Materials, 2021 - nature.com
Nanostructured birnessite exhibits high specific capacitance and nearly ideal capacitive
behaviour in aqueous electrolytes, rendering it an important electrode material for low-cost …

QuantumATK: an integrated platform of electronic and atomic-scale modelling tools

S Smidstrup, T Markussen… - Journal of Physics …, 2019 - iopscience.iop.org
QuantumATK is an integrated set of atomic-scale modelling tools developed since 2003 by
professional software engineers in collaboration with academic researchers. While different …

Emerging materials intelligence ecosystems propelled by machine learning

R Batra, L Song, R Ramprasad - Nature Reviews Materials, 2021 - nature.com
The age of cognitive computing and artificial intelligence (AI) is just dawning. Inspired by its
successes and promises, several AI ecosystems are blossoming, many of them within the …

Exploration of chemical compound, conformer, and reaction space with meta-dynamics simulations based on tight-binding quantum chemical calculations

S Grimme - Journal of chemical theory and computation, 2019 - ACS Publications
The semiempirical tight-binding based quantum chemistry method GFN2-xTB is used in the
framework of meta-dynamics (MTD) to globally explore chemical compound, conformer, and …

Scalable synthesis and characterization of multilayer γ-graphyne, new carbon crystals with a small direct band gap

VG Desyatkin, WB Martin, AE Aliev… - Journal of the …, 2022 - ACS Publications
γ-Graphyne is the most symmetric sp2/sp1 allotrope of carbon, which can be viewed as
graphene uniformly expanded through the insertion of two-carbon acetylenic units between …

Influence of tribology on global energy consumption, costs and emissions

K Holmberg, A Erdemir - Friction, 2017 - Springer
Calculations of the impact of friction and wear on energy consumption, economic
expenditure, and CO 2 emissions are presented on a global scale. This impact study covers …