Chemistry-informed Bayesian control and policy distillation for autonomous pH adjustment in diverse chemical systems
Adjusting pH of an arbitrary solution to a specified target remains difficult to automate when buffering behavior is unknown, nonlinear, and composition-dependent. We formulate pH adjustment as a sequential inference-and-control problem and develop a chemistry-informed Particle Filtering (PF) Bayesian controller that u...