模式引领我们走向远离平衡的材料.
Pamela Knoll1, Bin Ouyang2, Oliver Steinbock2
1School of Physics and Astronomy, Institute for Condensed Matter and Complex Systems, University of Edinburgh, Edinburgh EH9 3FD, U.K.
人工智能正在揭示科学中复杂的模式. 物理化学必须解释这些人工智能驱动的发现,包括新材料和生命起源研究,以扩大科学前沿.
科学领域:
- 物理化学 物理化学
- 材料科学 材料科学 材料科学
- 天体生物学 天体生物学
背景情况:
- 大自然表现出由简单规则支配的复杂模式,以周期表和遗传代码为例.
- 人工智能 (AI) 准备揭示超越人类直觉的新模式.
研究的目的:
- 探索物理化学在解释人工智能驱动的科学发现中的作用.
- 突出 AI 可以推进科学理解和应用的有希望领域.
主要方法:
- 审查已确立的模式形成的科学原则.
- 讨论AI在模式发现方面的潜力.
- 检查材料科学和天体生物学中的特定应用.
主要成果:
- 人工智能将产生许多新的模式,挑战人类的理解.
- 物理化学可以指导和语境化人工智能产生的见解.
- 新的前沿领域包括高材料,远离平衡的系统,生命起源研究和系外行星生命检测.
结论:
- 物理化学的未来在于解释人工智能驱动的发现.
- 人工智能的成功整合将扩大物理化学的范围.
- 人工智能驱动的模式发现在科学学科中提供了变革性的潜力.
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