Volume 3 Issue 1 2026
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ORIGINAL RESEARCH ARTICLE
A multi-agent deep reinforcement learning framework for the generative design of alloys and processing routes
Bilal Muhammed,
Akash Bhattacharjee,
B. P. Gautham,
Amol Joshi
International Journal of AI for Materials and Design 2026, 3(1), 46–68; https://doi.org/10.36922/IJAMD025480050
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PERSPECTIVE ARTICLE
Artificial intelligence and additive manufacturing as a coupled design system: Rethinking inference, manufacturability, and design education
Charul Chadha,
Garth Crosby,
Sabit Ekin,
Mohamed Gharib, ... Albert E. Patterson
International Journal of AI for Materials and Design 2026, 3(1), 34–45; https://doi.org/10.36922/IJAMD025510054
(This article belongs to the Special Issue
Bridging AI, Design, and Additive Manufacturing: Intelligent Methods for Next-Generation Fabrication)
82 Download 3875 Views
ORIGINAL RESEARCH ARTICLE
Data-driven identification of functional additives and solution parameters in mixed Sn-Pb perovskite solar cells via β-VAE augmentation
Behzad Iranipour,
Mohammadreza Sadeghian,
Ezeddin Mohajerani
International Journal of AI for Materials and Design 2026, 3(1), 69–93; https://doi.org/10.36922/IJAMD025480051
30 Download 8479 Views
REVIEW ARTICLE
Hybrid multimodal artificial intelligence, vision sensory, and robotic cyber-physical systems for plastic inspection and sorting in digital circular remanufacturing: A review
Syed Ali Hassan,
Michail J. Beliatis
International Journal of AI for Materials and Design 2026, 3(1), 1–33; https://doi.org/10.36922/IJAMD025340030
102 Download 5270 Views
ORIGINAL RESEARCH ARTICLE
Machine learning-enabled prediction and inverse screening of elastic modulus in Euclidean-tiling structures
Zongze Wu,
Xiaoxiao Dong,
Lei Cao,
Deliang Zhang,
Xing Zhang
International Journal of AI for Materials and Design 2026, 3(1), 94–109; https://doi.org/10.36922/IJAMD026060001
62 Download 1545 Views