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Meeting 2025 TMS Annual Meeting & Exhibition
Symposium Innovations in Energy Materials: Unveiling Future Possibilities of Computational Modelling and Atomically Controlled Experiments
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Keywords Computational Materials Science & Engineering, Machine Learning, Nuclear Materials

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

A Journey From Atoms to Materials: Designing Functional Materials for Energy and Microelectronics
Ab Initio Calculations of the Thermoelectric Figure of Merit
Beyond the Linear Scaling Relation: Novel Strategies
Body Heat Harvester Based on Thermoelectrics for Continuous Operation of Sensors and Actuators
Bragg Coherent X-Ray Diffraction Imaging of Strain in Energy Materials
Coordination Engineering in Nanomaterials Design for Energy Applications
Design of Eco-Friendly and High-Efficiency Thermo-Photoelectric Conversion Materials
Development of Kinetic Lattice Monte Carlo Model to Study Ionic Diffusion at Misfit Dislocations in Oxide Heterostructures
From Prediction to Experimental Realization of Ferroelectric Wurtzite AlN-Based Alloys
Local Thermal Conductivity Imaging and Modelling to Guide Microstructure Engineering in Energy Materials
Magnetic Metasurfaces for Sustainable Information and Communication Technologies
Nanomaterial and Nanostructure Physics for Thermoelectric Performance Enhancement
Nanoscale Design of 3D Anode and High Effective Catalysis for High Performance Aluminum-Air Batteries
Optimization of CO2 Reduction Reaction Using Nanoporous Copper Catalysts Through Machine Learning-Driven Process Parameter Modeling
Quantum-Assisted Machine Learning Analysis of Silicon-Based Anodes for Lithium Batteries: Thermodynamics, Structural Insights, and Lithium Diffusion. Identifying Challenges and Exploring Novel Candidates
Reaching New Frontiers to for Superconductors Using Pulsed High Magnetic Fields
Resonant Ultrasound Spectroscopy for Rapid Down Selection, Elastic Property Determination, and Model Validation in High-Entropy Materials
Standards for Meaningful Evaluations of Machine Learning Interatomic Potentials Software
Starrydata2: an Open Platform for Materials Data Curated From Literature
Structure Low Dimensionality and Lone-Pair Stereochemical Activity: The Key to Low Thermal Conductivity in Sulfides
The Exploration of FeNiMoW-Based Alloys for High Value Magnetic Materials
Unraveling the Effects of Dislocations on Ferroelectric Behavior by Molecular Dynamics Simulations
Ab Initio Models for the Prediction of Corrosion-Passivation Behavior in Aqueous Media
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