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arXiv 2201.00098physics.comp-phphysics.app-phphysics.bio-ph
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基于自动微分的非平衡系统最优控制

Optimal control of nonequilibrium systems through automatic differentiation

Megan C. Engel, Jamie A. Smith, Michael P. Brenner

摘要:

控制非平衡系统的演化以最小化耗散的热量或功是纳米技术和生物学中设计纳米器件的关键目标。迄今为止,计算最优协议的进展仅限于简单系统或近平衡进化。在这里,我们提出了一种基于自动微分计算最优协议的方法。我们的方法适用于复杂系统和多维协议,是有效的任意远离平衡。我们验证了我们的方法通过再现理论上的最佳协议的布朗粒子在一个随时间变化的谐波陷阱。我们还计算偏离近平衡行为的磁化反转的伊辛晶格和障碍跨越驱动的谐波陷阱,这已被用来代表一系列的生物过程,包括生物分子展开反应。基于自动微分的算法在远离平衡的磁化反转和驱动势垒穿越方面优于近平衡理论。最佳的协议跨越能源景观障碍的10kT被发现加速的方法,并减缓离开,障碍区域相比,近平衡的理论协议。

英文摘要:

Controlling the evolution of nonequilibrium systems to minimize dissipated heat or work is a key goal for designing nanodevices, both in nanotechnology and biology. Progress in computing optimal protocols has thus far been limited to either simple systems or near-equilibrium evolution. Here, we present an approach for computing optimal protocols based on automatic differentiation. Our methodology is applicable to complex systems and multidimensional protocols and is valid arbitrarily far from equilibrium. We validate our method by reproducing theoretical optimal protocols for a Brownian particle in a time-varying harmonic trap. We also compute departures from near-equilibrium behaviour for magnetization reversal on an Ising lattice and for barrier crossing driven by a harmonic trap, which has been used to represent a range of biological processes including biomolecular unfolding reactions. Algorithms based on automatic differentiation outperform the near-equilibrium theory for far-from-equilibrium magnetization reversal and driven barrier crossing. The optimal protocol for crossing an energy landscape barrier of 10kT is found to hasten the approach to, and slow the departure from, the barrier region compared to the near-equilibrium theoretical protocol.

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