This article has been selected as an Editor’s Choice in 2024:
Machine learning prediction of the mechanical properties of injection-molded polypropylene through X-ray diffraction analysis
by Ryo Tamura, Kenji Nagata, Keitaro Sodeyama, Kensaku Nakamura, Toshiki Tokuhira, Satoshi Shibata, Kazuki Hammura, Hiroki Sugisawa, Masaya Kawamura, Teruki Tsurimoto, Masanobu Naito, Masahiko Demura & Takashi Nakanishi
https://doi.org/10.1080/14686996.2024.2388016
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Articles of Editor’s Choice 2024
- Fully printed non-contact touch sensors based on GCN/PDMS composites: enabling over-the-bottom detection, 3D recognition, and wireless transmission
https://doi.org/10.1080/14686996.2024.2311635 - Adaptive plasticity of auxetic Kirigami hydrogel fabricated from anisotropic swelling of cellulose nanofiber film
https://doi.org/10.1080/14686996.2024.2331959 - Biofabrication of engineered blood vessels and their biomedical applications
https://doi.org/10.1080/14686996.2024.2330339 - Nanocatalytic NO Gas Therapy Against Orthotopic Oral Squamous Cell Carcinoma by Single Iron Atomic Nanocatalysts
https://doi.org/10.1080/14686996.2024.2368452