Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Press/Media
Datasets
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
Review of computational approaches to predict the thermodynamic stability of inorganic solids
Christopher J. Bartel
Research output
:
Contribution to journal
›
Review article
›
peer-review
68
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Review of computational approaches to predict the thermodynamic stability of inorganic solids'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Computational Approach
100%
Thermodynamic Stability
100%
Inorganic Solids
100%
Stability Prediction
75%
Phase Transition
25%
First-principles Method
25%
Quantum Chemistry
25%
Design Approach
25%
Machine Learning Applications
25%
Competing Phases
25%
Open Materials
25%
Alternative Structures
25%
Materials Database
25%
Computational Materials Design
25%
Synthesizability
25%
Supercomputing Center
25%
Material Science
Materials Design
100%
Phase Composition
100%
Engineering
Thermodynamic Stability
100%
Limitations
25%
Material Database
25%
Learning System
25%
Phase Composition
25%