Scientific AI

Machine Learning Assisted Cross-Scale Hopper Design for Flowing Biomass Granular Materials
The promise of biomass-derived biofuels is often overshadowed by intricate material handling challenges such as hopper clogging and …
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Data-driven mechanical behavior modeling of granular biomass materials
Significant equipment downtime, mainly caused by the variable attributes and complex mechanical behavior of granular biomass materials, …
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Machine-learning-assisted high-temperature reservoir thermal energy storage optimization
High-temperature reservoir thermal energy storage (HT-RTES) has the potential to become an indispensable component in achieving the …
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Geothermal Battery Optimization Using Stochastic Hydro-Thermal Simulations and Machine Learning Algorithms
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