1   Finding defects in glasses through machine learning
 Simone Ciarella, Dmytro Khomenko, Ludovic Berthier, Felix Mocanu, David Reichman, Camille Scalliet, Francesco Zamponi
Nature Communications
2   Predicting Dynamic Heterogeneity in Glass-Forming Liquids by Physics-informed Machine Learning
 Gerhard Jung, Giulio Biroli, Ludovic Berthier
Physical Review Letters
3   Evolution of Local Structural Motifs in Colloidal Quantum Dot Semiconductor Nanocrystals Leading to Nanofaceting
 Bo Hou, Felix Cosmin Mocanu, Yuljae Cho, Jongchul Lim, Jiangtao Feng, Jingchao Zhang, John Hong, Sangyeon Pak, Jong Bae Park, Young-Woo Lee, Juwon Lee, Byung-Sung Kim, Stephen M Morris, Jung Inn Sohn, Seungnam Cha, Jong Min Kim
Nano Letters
4   Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems
 Simone Ciarella, Jeanne Trinquier, Martin Weigt, Francesco Zamponi
Machine Learning: Science and Technology
5   Asymptotic Errors for Teacher-Student Convex Generalized Linear Models (or : How to Prove Kabashima's Replica Formula)
 Cedric Gerbelot, Alia Abbara, Florent Krzakala
IEEE Transactions on Information Theory
6   Microscopic observation of two-level systems in a metallic glass model
 Felix Mocanu, Ludovic Berthier, Simone Ciarella, Dmytro Khomenko, David Reichman, Camille Scalliet, Francesco Zamponi
Journal of Chemical Physics
7   Bootstrapping traceless symmetric $O(N)$ scalars
 Marten Reehorst, Maria Refinetti, Alessandro Vichi
SciPost Physics
8   Creating bulk ultrastable glasses by random particle bonding
 Misaki Ozawa, Yasutaka Iwashita, Walter Kob, Francesco Zamponi
Nature Communications
9   Cosmology with cosmic web environments II. Redshift-space auto and cross power spectra
 Tony Bonnaire, Joseph Kuruvilla, Nabila Aghanim, Aurélien Decelle
Astronomy and Astrophysics - A&A