微宇宙：微观世界模拟的初步探索

MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation

February 28, 2026

作者: Rongsheng Wang, Minghao Wu, Hongru Zhou, Zhihan Yu, Zhenyang Cai, Junying Chen, Benyou Wang

cs.AI

摘要

视频生成技术的最新进展为复杂动态系统的宏观模拟开辟了新途径，但其在微观现象模拟中的应用仍属空白。微观尺度模拟在药物发现、芯片器官系统、疾病机制研究等生物医学领域前景广阔，同时在教育及交互式可视化方面也展现出潜力。本研究提出MicroWorldBench——一个基于多级量规的微观尺度模拟任务基准，通过459项专家标注的独特标准，覆盖器官级过程、细胞动力学、亚细胞分子相互作用等多类微观模拟任务及科学保真度、视觉质量、指令遵循等评估维度，实现系统性量规化评估。该基准揭示当前顶尖视频生成模型在微观模拟中存在物理定律违背、时间不一致性、与专家标准偏离等缺陷。为解决这些问题，我们构建了经专家验证的高质量模拟数据集MicroSim-10K，并基于此训练出专用于微观尺度模拟的视频生成模型MicroVerse。该模型能精确复现复杂微观机制，首次提出"微观世界模拟"概念并完成概念验证，为生物学、教育及科学可视化领域的应用铺平道路。本研究展示了生物机制教育类微观模拟的潜力，相关数据与代码已开源：https://github.com/FreedomIntelligence/MicroVerse。

English

Recent advances in video generation have opened new avenues for macroscopic simulation of complex dynamic systems, but their application to microscopic phenomena remains largely unexplored. Microscale simulation holds great promise for biomedical applications such as drug discovery, organ-on-chip systems, and disease mechanism studies, while also showing potential in education and interactive visualization. In this work, we introduce MicroWorldBench, a multi-level rubric-based benchmark for microscale simulation tasks. MicroWorldBench enables systematic, rubric-based evaluation through 459 unique expert-annotated criteria spanning multiple microscale simulation task (e.g., organ-level processes, cellular dynamics, and subcellular molecular interactions) and evaluation dimensions (e.g., scientific fidelity, visual quality, instruction following). MicroWorldBench reveals that current SOTA video generation models fail in microscale simulation, showing violations of physical laws, temporal inconsistency, and misalignment with expert criteria. To address these limitations, we construct MicroSim-10K, a high-quality, expert-verified simulation dataset. Leveraging this dataset, we train MicroVerse, a video generation model tailored for microscale simulation. MicroVerse can accurately reproduce complex microscale mechanism. Our work first introduce the concept of Micro-World Simulation and present a proof of concept, paving the way for applications in biology, education, and scientific visualization. Our work demonstrates the potential of educational microscale simulations of biological mechanisms. Our data and code are publicly available at https://github.com/FreedomIntelligence/MicroVerse