Nature

Bayesian optimization of biodegradable polymers via machine learning driven features from low-field NMR data

Effective designs of biodegradable polymers are highly desirable for achieving a sustainable society by decreasing environmental burden and replacing petroleum-based resources with biomass. Low-field ...
Nature

Bayesian optimization of multi-bit pulse encoding in In₂O₃–Al₂O₃ thin-film transistors for temporal data processing

Physical reservoir computing leverages the intrinsic history-dependence and nonlinearity of hardware to encode spatiotemporal signals directly at the sensor level, enabling low-latency processing of ...