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#machine learning Preprint Sep 2026

SCALE: Simulation-Calibrated Amortized Learning for Energy Materials (A hybrid architecture connecting deterministic modeling, real-world data, and transformer-scale inference for accelerated energy-materials discovery)

SCALE (Simulation-Calibrated Amortized Learning for Energy Materials), a physics-grounded, real-world-data-calibrated learning architecture that connects deterministic scientific operators, experimental calibration, expanded calibrated label generation, and transformer-scale inference, is introduced.

Kuang-Heng Huang, Bo Bai · 0 citations
Conference Jul 2026

Deep Learning-Based Wind Power Forecasting and Data Center Load Response Optimization Under Extreme Weather Events

The increasing penetration of wind energy and the rapid growth of computing-intensive data centers have made the joint management of renewable-generation uncertainty and flexible electricity demand a pressing concern, particularly during extreme weather events such as storms, cold snaps, and rapid wind ramps. This pape...

Dalin Jiang, Dazheng Liu, Bo Bai et al. · 0 citations

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