Mamoru Saita

Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors

Temperature is a fundamental regulator of chemical and biochemical kinetics, yet capturing nonlinear thermal effects directly from experimental data remains a major challenge due to limited throughput and model flexibility. Recent advances in machine learning have enabled flexibl...