Abstract
Crystalline-amorphous nanolaminates (C/A NLs) have long been conceived as static composites, with their performance predetermined by layer thickness and phase fractions. Here, we introduce a paradigm shift that transforms these materials into chemically adaptive systems through oxygen dynamic partitioning. By harnessing interstitial oxygen as an in-situ chemical modulator, we show that NLs can reconfigure their local chemistry during deformation, evolving from a preset structure into a self-optimizing system. We realize this concept in FeCrNi-O/TiVNbHf-O NLs, where deformation drives oxygen redistribution from the amorphous layers and interfaces to the crystalline layers, increasing oxygen content by 1.55 at.% and amplifying intralayer chemical inhomogeneity without forming oxides. This dynamic chemical evolution progressively strengthens the crystalline phase, reduces the mechanical mismatch between the two layers, and facilitates coordinated deformation throughout the entire architecture. As a result, the two phases achieve a dynamic convergence in mechanical behavior, not by design but by evolution. This chemo-mechanical coupling yields exceptional performance, delivering an ultrahigh yield strength (∼ E /30, approaching the theoretical limit ∼ E /10) alongside a homogeneous compressive strain exceeding 50%, with no shear band formation. The approach is broadly applicable across alloy systems and establishes chemical reconfiguration as a new design paradigm for materials that adapt rather than merely serve as passive constituents. © 2026 Elsevier Ltd.
| Original language | English |
|---|---|
| Article number | 103450 |
| Number of pages | 9 |
| Journal | Materials Today |
| Volume | 99 |
| Online published | 24 Jul 2026 |
| DOIs | |
| Publication status | Published - Oct 2026 |
Funding
This work was supported by the National Natural Science Foundation of China (Grant Nos. 52171159, 52271114 and 52361165617), the Natural Science Foundation of Shanghai (22ZR1422500), the Shanghai Science and Technology Innovation Action Plan (No. 24CL2901500), the Technology Plan Program of Shanghai Municipal Commission of Science and Technology (No. 25CL2902300), the Shanghai Municipal Explorer Program (No. 25TS1401900), and the Austrian Science Fund (FWF) 10.55776/Y1236, 10.55776/PIN7480424. We thank Jie Li, Jianchao Peng and Hui Li at Shanghai University for technical supports.
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