ArticleNature chemistry2025
An accurate and efficient framework for modelling the surface chemistry of ionic materials.
Article in Nature chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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Who cites it
5 citing papers in PubMed.
- Data-driven pipeline enables discovery of plant protein surfactants.Communications chemistry · 2026Article
- Optimization of Random Phase Approximation Calculations for Improved Energies of Molecules, Solids, and Surfaces.Journal of chemical theory and computation · 2026Article
- Surface Adsorption at the Thermodynamic Limit Using Periodic DLPNO-MP2 Theory: A Study of CO on MgO at Dilute and Dense Coverages.Journal of chemical theory and computation · 2026Article
- Towards Routine Condensed Phase Simulations with Delta-Learned Coupled Cluster Accuracy: Application to Liquid Water.Journal of chemical theory and computation · 2025Article
- An accurate and efficient framework for modelling the surface chemistry of ionic materials.Nature chemistry · 2025Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Quantum-mechanical simulations can offer atomic-level insights into chemical processes on surfaces that are crucial to advancing applications in heterogeneous catalysis, energy storage and greenhouse gas sequestration. Unfortunately, achieving the accuracy needed for reliable predictions has proven challenging. Density functional theory, widely used for its efficiency, can be inconsistent, necessitating accurate methods from correlated wavefunction theory. But high computational demands and substantial user intervention have traditionally made correlated wavefunction theory impractical to carry out for surfaces. Here we present an automated framework that leverages multilevel embedding approaches to apply correlated wavefunction theory to the surfaces of ionic materials with computational costs approaching those of density functional theory. With this framework, we reproduce experimental adsorption enthalpies for a diverse set of 19 adsorbate-surface systems. We further resolve debates on the adsorption configuration of several systems, while offering benchmarks to assess density functional theory. This framework is open source, facilitating the routine application of correlated wavefunction theory to complex problems involving the surfaces of ionic materials.
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Registered trials
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