通过使用适应性材料的不平衡训练协议来学习学习
Martin J Falk1, Jiayi Wu1, Ayanna Matthews2
1Department of Physics, The University of Chicago, Chicago, IL 60637.
概括
合成材料可以训练适应性,通过切换目标来执行多种功能. 这一策略使弹性网和异聚合物等材料能够在设计变化最小的情况下适应,从而揭示了适应性的物理原理.
科学领域:
- 材料科学 材料科学 材料科学
- 计算科学 计算科学
- 生物物理学的生物物理.
背景情况:
- 生物系统进化了适应能力,在不断变化的环境中壮成长.
- 环境敏感的材料提供了合成适应性的潜力.
- 材料设计中的高维反向问题为实现多重功能带来了挑战.
研究的目的:
- 制定合成材料的培训策略,以实现适应性.
- 证明材料能够在最小的参数变化下执行不兼容的功能.
- 探索材料适应性背后的物理原理.
主要方法:
- 在材料设计中利用高维反向问题.
- 使用目标切换算法来训练材料的适应性.
- 模拟适应性弹性网络和异聚合物折叠路径.
主要成果:
- 成功训练材料在不兼容的功能之间切换.
- 实现了功能切换,设计参数的变化最小.
- 确定了诸如核化控制折叠等物理原理,从而实现了适应性.
结论:
- 一个新的训练策略使合成材料能够表现出适应性行为.
- 最小的设计参数变化可以解锁材料中的各种功能.
- 该方法提供了对控制材料适应性的物理机制的洞察.
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