跨尺度物质记忆现象的概念呼应与FT-MMT框架的统一解释空间

Since 2026, independent frontier studies in condensed matter physics, materials science, and artificial intelligence have successively reported a series of cross-scale phenomena that cannot be fully covered by the traditional paradigm of instantaneous state evolution: the coexistence and competition effect of dual memories in non-Brownian suspensions, the return-point mechanical memory characteristic of ordinary pressure-sensitive adhesive tapes, and the systematic bottleneck of long-range memory reuse in embodied agents. These scattered observations across different disciplines collectively exhibit the common feature that "the subsequent evolution behavior of the system significantly depends on the complete historical motion traces". However, traditional physical frameworks classify such effects into local phenomenological descriptions such as hysteresis, plastic deformation, and statistical memory, and have not yet formed a unified underlying explanatory perspective that connects the microscopic, mesoscopic, macroscopic, and intelligent systems. Based on the FT-MMT (Formal Theory of Material Memory Elements) axiom system publicly released in December 2025, this paper incorporates the above cross-scale frontier phenomena into the same theoretical framework for conceptual integration, clarifies the natural explanatory space of this system for historical trace retention effects at different levels, strictly defines the research boundary of "temporal priority, conceptual echo, and non-direct verification", and independently derives 5 non-trivial, implementable, and falsifiable unique experimental predictions from the axiom system. All propositions cannot be deduced through classical mechanics, soft matter mechanics, or traditional AI memory theories, and possess strict theoretical exclusivity and experimental operability. This study provides a brand-new global dynamics perspective for exploring the mechanism of cross-scale material memory, and also offers an underlying paradigm upgrading path different from pure algorithm optimization for breaking through the inherent long-range memory bottleneck of current embodied intelligence. 2026年以来,凝聚态物理、材料科学、人工智能领域的独立前沿研究陆续报告了一系列难以被传统瞬时状态演化范式完全覆盖的跨尺度现象:非布朗悬浮液的双记忆共存竞争效应、普通压敏胶带的返回点机械记忆特性、具身智能体的长程记忆复用系统性瓶颈。这些分散在不同学科的观测结果,共同呈现出“系统后续演化行为显著依赖完整历史运动痕迹”的共性特征,而传统物理框架将这类效应归为迟滞、塑性形变、统计记忆等局部唯象描述,尚未形成贯通微观、介观、宏观与智能系统的统一底层解释视角。本文基于2025年12月公开的FT-MMT(物质记忆元公理体系),将上述跨尺度前沿现象纳入同一理论框架完成概念整合,明确该体系对不同层级历史痕迹留存效应的自然解释空间,严格界定“时间先行、概念呼应、非直接验证”的研究边界,同时基于公理体系独立衍生出5条非平凡、可落地、可证伪的独有实验预测,所有命题均无法通过经典力学、软物质力学、传统AI记忆理论推导得到,具备严格的理论排他性与实验可操作性。本研究为跨尺度物质记忆的机制探索提供了全新的全域动力学视角,也为突破当前具身智能的长程记忆固有瓶颈提供了不同于纯算法优化的底层范式升级路径。