人工智能增强了分子模拟
Jun Zhang1, Dechin Chen2, Yijie Xia3
1Changping Laboratory, Beijing 102200, China.
Journal of chemical theory and computation
|June 26, 2023
概括
分子模拟利用人工智能 (AI) 来提高计算能力和创新解决方案. 这篇评论探讨了人工智能.
科学领域:
- 计算物理 计算物理
- 材料科学 材料科学 材料科学
- 生物化学 生物化学
- 药物发现 药物发现 药物发现
背景情况:
- 分子模拟模型使用物理定律模拟粒子运动,对各种科学领域至关重要.
- 传统的分子模拟软件在很大程度上依赖于硬编码的衍生和多语言代码重用.
- 计算强度是分子模拟的一个关键挑战.
研究的目的:
- 探索分子模拟和人工智能 (AI) 之间的协同作用.
- 讨论人工智能平台如何为分子模拟提供新的解决方案和可能性.
- 突出现代人工智能概念超越神经网络适用于模拟.
主要方法:
- 审查分子模拟和AI之间的关系和一致性.
- 检查AI对算法,编程范式和模拟硬件的影响.
- 总结人工智能增强的分子模拟应用,包括可差分编程和高通量方法.
主要成果:
- 人工智能通过整合先进的算法和编程范式,为分子模拟提供了新的途径.
- 人工智能提高了计算效率,并使得可微分编程等新的方法成为可能.
- 代表性应用在分子模拟中展示了AI的变革潜力.
结论:
- 人工智能提供了一个强大的框架,可以在各种科学领域推进分子模拟.
- 未来的方向侧重于解决人工智能增强分子模拟的当前挑战.
- 人工智能的整合有望在计算科学中打开新的前沿.
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