The framework uses symbolic regression to propose analytical expressions from piezoresponse force microscopy data and an LLM to rank them for physical plausibility, yielding voltage-time growth laws for ferroelectric domain switching.
frugal twin
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cond-mat.mtrl-sci 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
LLM-Guided Open Hypothesis Learning from Autonomous Scanning Probe Microscopy Experiments
The framework uses symbolic regression to propose analytical expressions from piezoresponse force microscopy data and an LLM to rank them for physical plausibility, yielding voltage-time growth laws for ferroelectric domain switching.