Abstract Machine intelligence continues to rise in popularity as an aid to the design and
discovery of novel metamaterials. The properties of metamaterials are essentially …

Fungal mycelial materials can mimic numerous nonrenewable materials; they are even
capable of outperforming certain materials at their own applications. Fungi's versatility …

Optical metamaterials manipulate light through various confinement and scattering
processes, offering unique advantages like high performance, small form factor and easy …

Chiral metamaterial induced asymmetric transmission (AT) possesses great potential for
terahertz (THz) polarization applications, but its design has mainly relied on the …

Investigating long-term water absorption (WA) and thickness swelling (TS) behaviors of
wood plastic composites demand long working hours and high laboratory costs. However …

In this Letter, the neural network long short-term memory (LSTM) is used to quickly and
accurately predict the polarization sensitivity of a nanofin metasurface. In the forward …

We have developed a long short-term memory stacked ensemble (LSTM-SE) surrogate
modeling approach that can provide rapid predictions of microstructural evolution and the …

For large-scale terahertz (THz) reconfigurable metamaterials (RM), each unit element needs
to be controlled by an independent voltage source. This leads to a huge solution space for …

Deep learning has become a powerful tool for automatically classifying modulations in
received radio signals, a task traditionally reliant on manual expertise. However, the …

The simulation design of terahertz metamaterial sensors with dynamically tunable
parameters typically relies on manual parameter tuning for structural optimization. However …