RESEARCH PAPER · Digital Discovery · 2022
Predicting compositional changes of organic–inorganic hybrid materials with Augmented CycleGAN
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Using generative adversarial networks to match experimental and simulated inelastic neutron scattering data
Digital Discovery · 2023-01-01
Andy S. Anker, Keith T. Butler, Manh Duc Le, T. G. Perring, Jeyan Thiyagalingam
Read original paper ↗ ·What is missing in autonomous discovery: open challenges for the community
Digital Discovery · 2023-01-01
Phillip M. Maffettone, Pascal Friederich, Sterling G. Baird, Ben J. Blaiszik, Keith A. Brown, Stuart I. Campbell, Orion Cohen, Rebecca L. Davis, Ian T Foster, Navid Haghmoradi, Mark Hereld, Howie Joress, Nicole Jung, Ha-Kyung Kwon, Gabriella Pizzuto, Jacob Rintamaki, Casper Steinmann, Luca Torresi, Shijing Sun
Read original paper ↗ ·A structure translation model for crystal compounds
npj Computational Materials · 2023-08-11
Sungwon Kim, Juhwan Noh, Taewon Jin, Jaewan Lee, Yousung Jung
Read original paper ↗ ·Application of machine learning to mechanical properties of composite materials: A ten-year review (2015–2025)
Engineering Applications of Artificial Intelligence · 2026-02-09
Jinjing Zhu, Ruixiang Bai, Yaoxing Xu, Jiantong Wang, Longchao He, Zhenkun Lei, Cheng Yan
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