RESEARCH PAPER · Molecules · 2026
Machine Learning-Empowered Electromagnetic Wave Absorbing Materials: From Forward Prediction to Generative Inverse Design
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Recent progress, challenges and future directions of high-temperature wave-absorbing materials
Extreme Materials · 2026-08-05
Haohui Hao, Xinlei Wang, Yang Lyu, Wenzheng Zhang, Fei Li, Baoxi Zhang, Ruixiang He, Yuhao Fang, Chunlin Wang, Xiaomeng Fan, Ping Hu, Xinghong Zhang
Read original paper ↗ ·From printing to intelligence: Smart polymer composite actuators for next-generation soft robotics
Applied Materials Today · 2026-10-03
Sadegh Kaviani, Arevik Asatryan, Alvo Aabloo, Carlos M. Costa, Senentxu Lanceros-Méndez, Marina Aghayan
Read original paper ↗ ·Simulated Scattering Parameter Dataset for a Randomly Generated Non-Parameterized Microstrip Filter Between 1 and 10 GHz
Data · 2026-10-06
Steven Watts, Rensu P. Theart, Leanne Johnson
Read original paper ↗ ·Machine learning-accelerated sustainable inverse design of ultra-wideband THz metamaterial absorber
Optics & Laser Technology · 2026-10-12
Muhammad Asif, Kumail Javaid, Muhammad Asif Rasheed, Saad Farooq, Hongyi Chen
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