This Code will model and visualise the Thermo-Physical Properties of nano fluids in detail, Alongside it can model your experiments and predict better models. It also helps in scripting the UDF for your fluent simulations.
An open-source architecture for AI data centers that use zero freshwater. This repo provides practical designs for replacing evaporative cooling with closed-loop immersion, heat-to-power recovery, and adaptive AI-based thermal control, reducing water usage by 100% and energy demand by up to 20%.
A curated dataset for machine learning applications in nanofluid thermal conductivity prediction.
π Revolutionize cooling in AI data centers with a zero-water system that recycles waste heat, aiming for a sustainable future by 2030.
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