News & Media
News and updates highlighting our research advances, events, partnerships, and people who are accelerating AI-driven materials discovery for energy, sustainability, and quantum technologies.
AI-MI Faculty Among Authors of ML-Guided Kagome Superconductor Discovery Covered by Major Science Press
A machine-learning-guided search has identified two new kagome superconductors — YRu₃B₂ and LuRu₃B₂ — in a discovery covered widely by science media including SciTechDaily, ScienceDaily, Interesting Engineering, and TechTimes. The work, led by the SuperC consortium...
AI-MI–Supported Research Introduces Continuous-Query Language Models That Externalize Factual Knowledge
An AI-MI–supported study proposes a new architecture for language models that externalizes factual knowledge to a knowledge base rather than storing it in model weights. “Co-LMLM: Continuous-Query Limited Memory Language Models” by Yair Feldman, Linxi Zhao, Nathan...
Separating Prediction and Memory Improves Transformers
An AI-MI–supported study proposes that standard Transformers overload a single computation stream to both predict the next token and store state for future tokens—and that disentangling these roles yields more efficient, higher-performing models. Giovanni Monea,...
AI-MI Faculty Emilia Morosan Named Founding Director of Rice–Max Planck Quantum Materials Partnership
AI-MI senior personnel Emilia Morosan, Trustee Professor of Physics and Astronomy at Rice University and director of the Rice Center for Quantum Materials, has been named founding director of Q-RaMP — a new joint program between Rice University and the Max Planck...
AI-MI Community Well-Represented at ICML 2026 in Seoul
AI-MI was well-represented at the International Conference on Machine Learning (ICML 2026, Seoul, July 11–19). Eun-Ah Kim, AI-MI Director, co-organized the “AI for Physics” workshop and moderated its opening panel, “AI4Physics and the Current AI Revolution.” John...
AI-MI Research Identifies Anisotropy Key to Magnon-Mediated Superconductivity in 2D Ferromagnets
An AI-MI–supported theoretical study shows that a small easy-plane magnetic anisotropy is the key ingredient enabling magnon-mediated superconductivity in 2D itinerant ferromagnets. Vladimir Calvera, Heqiu Li, Yijie Wang, B. Andrei Bernevig (Princeton), and Andrey V....
AI-MI Researchers Release a Graphlet-Histogram Database of 149,082 Inorganic Crystals
AI-MI researchers have introduced Graphlet-MP, a database that encodes inorganic crystal structures as graphlet histograms — a data-efficient, interpretable, machine-learning-ready representation aimed at accelerating materials discovery. Covering 149,082 inorganic...
AI-MI Follow-Up Discovers New Superconductors in the PtPb₃Bi Structure Type
A follow-up from AI-MI’s superconductivity effort reports a new family of superconductors sharing the PtPb₃Bi structure type — extending the AI-prediction-driven discovery that produced PtPb₃Bi itself, featured as the June AI-MI research highlight. The team...
Emilia Morosan Organizes International Quantum Materials Synthesis Workshop in Paris
AI-MI faculty member Emilia Morosan — Director of the Rice Center for Quantum Materials and Trustee Professor of Physics and Astronomy at Rice University — organized and keynoted the 2026 RCQM–KAST InterAcademy Global Workshop on Quantum Materials Synthesis, held June...