From predictive modelling to machine learning and reverse engineering of colloidal self-assembly

M Dijkstra, E Luijten - Nature materials, 2021 - nature.com
An overwhelming diversity of colloidal building blocks with distinct sizes, materials and
tunable interaction potentials are now available for colloidal self-assembly. The application …

Toward the rational design of non-precious transition metal oxides for oxygen electrocatalysis

WT Hong, M Risch, KA Stoerzinger… - Energy & …, 2015 - pubs.rsc.org
In this Review, we discuss the state-of-the-art understanding of non-precious transition metal
oxides that catalyze the oxygen reduction and evolution reactions. Understanding and …

Disordered enthalpy–entropy descriptor for high-entropy ceramics discovery

S Divilov, H Eckert, D Hicks, C Oses, C Toher… - Nature, 2024 - nature.com
The need for improved functionalities in extreme environments is fuelling interest in high-
entropy ceramics,–. Except for the computational discovery of high-entropy carbides …

Density functional theory calculations for insight into the heterocatalyst reactivity and mechanism in persulfate-based advanced oxidation reactions

P Zhang, Y Yang, X Duan, Y Liu, S Wang - ACS catalysis, 2021 - ACS Publications
Advanced oxidation processes (AOPs) based on persulfates such as peroxymonosulfate
and peroxydisulfate via heterogeneous catalysts have been a research hotspot due to their …

Kinetics from metadynamics: Principles, applications, and outlook

D Ray, M Parrinello - Journal of Chemical Theory and …, 2023 - ACS Publications
Metadynamics is a popular enhanced sampling algorithm for computing the free energy
landscape of rare events by using molecular dynamics simulation. Ten years ago, Tiwary …

New developments in evolutionary structure prediction algorithm USPEX

AO Lyakhov, AR Oganov, HT Stokes, Q Zhu - Computer Physics …, 2013 - Elsevier
We present new developments of the evolutionary algorithm USPEX for crystal structure
prediction and its adaptation to cluster structure prediction. We show how to generate …

Using collective variables to drive molecular dynamics simulations

G Fiorin, ML Klein, J Hénin - Molecular Physics, 2013 - Taylor & Francis
A software framework is introduced that facilitates the application of biasing algorithms to
collective variables of the type commonly employed to drive massively parallel molecular …

Mixed quantum mechanical/molecular mechanical molecular dynamics simulations of biological systems in ground and electronically excited states

E Brunk, U Rothlisberger - Chemical reviews, 2015 - ACS Publications
The quantum nature of electrons and nuclei is manifested in countless biological events
including the rearrangements of electrons in biochemical reactions, electron and proton …

A Challenge to the G ∼ 0 Interpretation of Hydrogen Evolution

P Lindgren, G Kastlunger, AA Peterson - ACS Catalysis, 2019 - ACS Publications
Platinum is a nearly perfect catalyst for the hydrogen evolution reaction, and its high activity
has conventionally been explained by its close-to-thermoneutral hydrogen binding energy …

QM/MM methods for biomolecular systems

HM Senn, W Thiel - Angewandte Chemie International Edition, 2009 - Wiley Online Library
Two are better than one: Quantum mechanics/molecular mechanics (QM/MM) methods are
the state‐of‐the‐art computational technique for treating reactive and other “electronic” …