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Updated: Feb 14, 2026

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Cell Co-culture Patterning Using Aqueous Two-phase Systems
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从潜力到属性:数据驱动的水和水系统的多体模拟
Francesco Paesani1,2,3,4, Richa Rashmi1, Henry Agnew1
11Department of Chemistry and Biochemistry, University of California San Diego, La Jolla, California, USA;
Annual review of physical chemistry
|February 12, 2026
概括
数据驱动的多体潜在能量函数 (PEF) 增强了水的模拟. MB-nrg形式主义为水系统提供了准确的洞察力,推动了物理化学研究.
科学领域:
- 物理化学 物理化学
- 计算化学的计算化学
- 材料科学 材料科学 材料科学
背景情况:
- 水在不同阶段和环境中的复杂行为挑战了当前的模型.
- 准确的模拟对于理解水系统至关重要.
研究的目的:
- 审查数据驱动的多体潜在能量函数 (PEF) 对模拟水和水系统的影响.
- 突出 MB-nrg 形式主义在物理化学进步中的作用.
主要方法:
- 在多体能量 (MB-nrg) 形式主义中开发数据驱动的多体潜在能量函数 (PEF).
- 使用"黄金标准"电子结构数据.
- 桥梁量子化学和统计力学.
主要成果:
- MB-pol 和 MB-nrg PEF 能够进行具有前所未有的预测能力的模拟.
- 更好地了解水素结合,光谱学,同位素效应和水系统中的相稳定性.
- 在气体,液体和固体阶段进行精确的模拟.
结论:
- MB-nrg形式主义为现实的分子模拟提供了坚实的基础.
- 数据驱动的PEF为解决物理化学中长期存在的问题提供了新的机会.
- 量子力学准确性在长度和时间尺度上保持不变.
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