Random layer rotations are ubiquitous in layered matter, from turbostratic films to rotationally disordered crystals, and strongly suppress transport across the layers. Generated by a symmetry operation, this disorder is absent on the rotation axis, so the thickness laws of conduction are set by how fast backscattering...
Peng Kang, Da Wan, Shu-Lin Bai et al.· 0 citations
Artificial intelligence is accelerating materials discovery, yet for complex systems such as high-entropy alloys, exhaustive exploration of their immense composition spaces is computationally intractable. Here we propose an integrated framework that enables large-scale exploration with reduced resource demands. Our f...
Xiao-Ya Huang, Yu Liu, Shuo Shi et al.· Nature Communications· 0 citations
We predict how force correction changes energy exchange and structural statistics by measuring leading response coefficients on shared reference trajectories. Residual power and the displacement virial distinguish the transfer of energy from the change in restoring forces, including intermittent reference updates. Inde...
Peng Kang, Da Wan, Shu-Lin Bai et al.· 0 citations
Artificial intelligence-assisted design of electromagnetic wave absorbing coatings is often restricted to geometry or topology optimization within fixed materials. Here, we present a modular particle swarm optimization−proximal policy optimization (PSO−PPO) framework for radar-absorbing metastructures that combines a...
Si-Rui Fan, Da Wan, Q. Zou et al.· ACS Materials Letters· 0 citations
The framework connects force tolerances to reference-energy transfer, providing a physical basis for potential assessment and adaptive reference allocation, and establishes a directional residual-work coefficient combining directional curvature mismatch with the spatial distribution of the residual response.
Peng Kang, Da Wan, Shu-Lin Bai et al.· 1 citation
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
