发表机构
University of Sheffield（谢菲尔德大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
研究超顺磁纳米点系综用于储层计算时温度敏感性问题，通过模拟量化其影响，展示异质纳米点图案缓解该问题，在NARMA - 10任务上验证可稳定性能，刻画性能与温度稳定性权衡并可通过超参数调整，推动新型设备实际部署。
AI 中文摘要
非常规计算系统要在实际环境条件下实现实际部署，必须具备强大性能。我们最近提出由应变诱导磁电耦合驱动的超顺磁纳米点系综作为超低能耗储层计算基板的候选方案。但因其动力学受热激活效应支配，对环境温度波动敏感，训练温度范围外运行时任务性能会下降。本文模拟温度变化对超顺磁系综磁化动力学的影响并量化其对任务性能的影响。接着展示了包含不同热激活特征时间尺度的不同尺寸纳米点的异质纳米点图案可缓解此问题。在NARMA - 10任务上的基准结果表明，引入优化的异质性可在广泛环境温度（5 - 35°C）下稳定储层性能，且最终性能损失很小。我们还刻画了性能与温度稳定性之间的权衡，并表明可通过储层超参数进行调整。我们的研究是使这些新型设备适用于实际部署的关键一步。
英文摘要
Unconventional computing systems must demonstrate robust performance under real-world environmental conditions to enable practical deployments. We have recently proposed superparamagnetic nanodot ensembles driven by strain-induced magnetoelectric coupling as exciting candidates for use as ultra-low energy consumption reservoir computing substrates. However, because their dynamics are governed by thermal activation effects, these systems are intrinsically sensitive to ambient temperature fluctuations, leading to degraded task performance when operated outside the temperature range used during training. In this paper we simulate how temperature variations affect the magnetization dynamics of such superparamagnetic ensembles, and quantify how this affects task performance. We then show how heterogeneous nanodot patterns that incorporate different sizes of nanodots with different characteristic timescales for thermal activation mitigate this problem. Benchmark results on the NARMA-10 task show that introducing optimized heterogeneity stabilizes performance of the reservoirs across a wide range of ambient temperatures (5-35°C), with little loss of ultimate performance. We also characterize the trade-off between performance and temperature stability and show that it can be tuned via reservoir hyperparameters. Our study demonstrates a key step in making these novel devices suitable for real-world deployment.
Comments19 pages, 6 figures and 4 tables. supplementary information included in the same PDF
