24 citations · 25 across the 6 of their papers we have counts for
7 papers
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…
An AI system to help scientists write expert-level empirical software
Eser Aygün, Anastasiya Belyaeva, Gheorghe Comanici +39
The cycle of scientific discovery is frequently bottlenecked by the slow, manual creation of software to support computational experiments\cite{hannay2009how}. To address this, we…
Inferring interaction potentials from stochastic particle trajectories
Ella M. King, Megan C. Engel, Caroline Martin +5
Accurate interaction potentials between microscopic components such as colloidal particles or cells are crucial to understanding a range of processes, including colloidal crystalli…
Proofreading mechanism for colloidal self-assembly
Qian-Ze Zhu, Chrisy Xiyu Du, Ella M. King +1
Designing components that can robustly self-assemble into structures with biological complexity is a grand challenge for material science. Proofreading and error correction is requ…