提出统一的显式建模框架，精准模拟多固体间复杂物理交互
Unisoma: A Unified Transformer-based Solver for Multi-Solid Systems
- 采用结构化模块显式建模固体变形影响因素
- 在7个数据集和2项复杂任务中达顶尖性能
- 适合需精确处理多体耦合关系的物理仿真场景
多固体系统广泛应用于各类实际场景，但其复杂相互作用的建模仍具挑战。现有深度学习方法多依赖隐式建模，无法显式表达影响固体形变的因素，且随着固体数量增加，难以准确捕捉复杂物理交互。本文提出一种新型显式建模范式，通过结构化模块显式引入形变影响因素。具体地，提出Unisoma——一个统一灵活的Transformer基模型，可处理可变数量的固体。Unisoma通过接触模块与自适应交互分配机制直接捕获物理交互，并利用三元组关系学习形变。相比隐式建模，显式建模更适用于具有多样耦合模式的多固体系统，能细致处理每个固体，避免信息混叠。实验表明，Unisoma在7个成熟数据集及2项复杂多固体任务中持续达到当前最优性能。代码已开源。
原文摘要 · Abstract (English)
Multi-solid systems are foundational to a wide range of real-world applications, yet modeling their complex interactions remains challenging. Existing deep learning methods predominantly rely on implicit modeling, where the factors influencing solid deformation are not explicitly represented but are instead indirectly learned. However, as the number of solids increases, these methods struggle to accurately capture intricate physical interactions. In this paper, we introduce a novel explicit modeling paradigm that incorporates factors influencing solid deformation through structured modules. Specifically, we present Unisoma, a unified and flexible Transformer-based model capable of handling variable numbers of solids. Unisoma directly captures physical interactions using contact modules and adaptive interaction allocation mechanism, and learns the deformation through a triplet relationship. Compared to implicit modeling techniques, explicit modeling is more well-suited for multi-solid systems with diverse coupling patterns, as it enables detailed treatment of each solid while preventing information blending and confusion. Experimentally, Unisoma achieves consistent state-of-the-art performance across seven well-established datasets and two complex multi-solid tasks. Code is avaiable at https://github.com/therontau0054/Unisoma.
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