CLEASEDocumentation

Cluster Expansion tool for materials science and computational chemistry

pip install clease
conda install -c conda-forge clease
Research powered by CLEASE
Discover how researchers worldwide use CLEASE
to advance materials science and computational chemistry.
Electrocatalysis & CO2 Utilization

Impact of hydrogen concentration for CO2 reduction on PdHx: A combination study of cluster expansion and kinetics analysis

Battery Interphases & Inverse Design

A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning

High-Entropy Ceramics (HEOs)

Short-Range Order and Local Distortions in Entropy Stabilized Oxides

Foundational computational methodology

Representations of Materials for Machine Learning

Energy storage materials (General)

Artificial Intelligence Applied to Battery Research: Hype or Reality

Advanced Functional & Molecular Design

Learning Matter: Materials Design with Machine Learning and Atomistic Simulations

Fundamental Entropic Theory (Conceptual)

Understanding the Role of Entropy in High Entropy Oxides

Electrocatalysis & CO2 Utilization

Impact of hydrogen concentration for CO2 reduction on PdHx: A combination study of cluster expansion and kinetics analysis

Changzhi Ai, Jin Hyun Chang, Alexander Sougaard Tygesen, Tejs Vegge, Heine Anton Hansen

CLEASE allowed the researchers to perform a systematic and comprehensive thermodynamic analysis that would have been computationally intractable if they had relied solely on DFT calculations for every possible structure.

Read full paper

Built & maintained by PhaseTree team

Enterprise solutions for computational materials science
Accelerate your research with professional tools and infrastructure.

Take your research to the next level

Accelerate your materials research with PhaseTree's enterprise platform. Run simulations on high-performance computing infrastructure, leverage advanced visualization tools, build complex workflows, and collaborate seamlessly with your research team.

Try for free

HPC Computing Access

Run simulations on high-performance infrastructure

Advanced Visualization

User-friendly modules with interactive tools

Workflows & Phase-Field

Build complex workflows with advanced coupling

Team Collaboration

Seamless collaboration and access management

Integration & Trust
"CLEASE is an open-source CE tool integrated into the ASE package... and has been extensively used for configurational sampling of disordered materials."
A Perspective on Inverse Design of Battery Interphases Using Multi-Scale Modelling, Experiments and Generative Deep Learning
Arghya Bhowmik, et al.

Join our community

Connect with fellow CLEASE users, share ideas, and get answers.

Used by thousands of material scientists

Downloads

0+

Citations

0+

CLEASE
The open-source Cluster Expansion tool for materials science
Documentation