4 papers
Optimal feedback control under stepwise equilibration and partial observation
Francesco Mottes, Michael P. Brenner
Many microscopic machines rely on noisy signals to direct nonequilibrium transformations and operate in a timescale-separated regime. We consider feedback protocols in which a syst…
Gradient-based optimization of exact stochastic kinetic models
Francesco Mottes, Qian-Ze Zhu, Michael P. Brenner
Stochastic kinetic models describe systems across biology, chemistry, and physics where discrete events and small populations render deterministic approximations inadequate. Parame…
Generalizing PDE Emulation with Equation-Aware Neural Operators
Qian-Ze Zhu, Paul Raccuglia, Michael P. Brenner
Solving partial differential equations (PDEs) can be prohibitively expensive using traditional numerical methods. Deep learning-based surrogate models typically specialize in a sin…
Fundamental Scaling Constraints for Equilibrium Molecular Computing
Erin Crawley, Qian-Ze Zhu, Michael P. Brenner
Molecular computing promises massive parallelization to explore solution spaces, but so far practical implementations remain limited due to off-target binding and exponential proli…