EvoSim: Learning to Model, Modeling to Learn

Key points

• Physics-based models connect scientific explanation with quantitative prediction.1
• We evaluate EvoSim on two industrial battery modeling tasks.1
• Dynamic voltage prediction under vehicle driving conditions achieves a root mean square error of 7.62 mV, surpassing the reported accuracy of models developed by human experts.1
• EvoSim turns experimental observations into validated models and cumulative research expertise.1

Sources (1)

• [1]EvoSim: Learning to Model, Modeling to Learn
  arXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 8, 06:39 AM

  We introduce EvoSim, a self-evolving AI scientist for physical modeling.

  Physics-based models connect scientific explanation with quantitative prediction.

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