Learning from fracture: Teaching language models to design through physical experience
How can language models learn to optimize physical designs through experience? We introduce FracLearn, an experience-abstraction-generalization framework evaluated through a deliberately unfamiliar, Tetris-inspired fracture game. The model first proposes architectures and examines simulated fracture responses to accumulate experience. Abstraction organizes these observations into conditional principles linking reinforcement placement, crack evolution and load transfer, with supporting evidence and failure conditions. Generalization challenges the model to combine these principles in new architectures and surpass the earlier design record. Campaigns demonstrate progressive refinement and r...
| Authors | Bo Ni |
|---|---|
| Primary category | cond-mat.mtrl-sci |
| Published | 13 October 2026 |
| Last updated at source | 13 October 2026 |
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