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Meeting MS&T25: Materials Science & Technology
Symposium Integrated Computational Materials Engineering for Physics-Based Machine Learning Models
Presentation Title Ab initio prediction of the magnetic thermodynamics of LaCoO3 pervoskite based on the zentropy theory
Author(s) Songge Yang, Yu Zhong
On-Site Speaker (Planned) Songge Yang
Abstract Scope Lanthanum cobaltate (LaCoO₃, LCO) is a correlated transition metal oxide that has garnered significant interest for applications in solid oxide fuel cells, catalysis, sensors, and spintronic devices. However, its magnetic and thermodynamic properties remain incompletely understood due to the presence of complex spin configurations. In this work, the magnetic thermodynamics of LaCoO₃ perovskite are systematically investigated using zentropy theory, a partition function-based framework for thermodynamic prediction, in conjunction with ab initio calculations. All relevant structural and spin configurations of LaCoO₃ are incorporated into the partition function to enable a comprehensive statistical description. Using this superposition approach, the entropy, heat capacity, thermal expansion, and charge disproportionation of LaCoO₃ are successfully predicted, explicitly accounting for magnetic transitions. The predicted results show excellent agreement with available experimental data.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Understanding and design of metallic alloys guided by integrated phase-field simulations
A GNN based Finite Element Simulations Emulator: Application to Parameter Identification for Aluminum Alloy 6DR1
Ab initio prediction of the magnetic thermodynamics of LaCoO3 pervoskite based on the zentropy theory
Accelerated Nuclear Materials Thermochemistry in MOOSE through Surrogate Modeling
Atomistic and AI-Driven Insights into Ferroelectric Switching in Hybrid Improper Double Perovskite Oxides
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