Collaboration with the Max Planck Society: The Max Planck Society and its institutes have long-standing research partnerships in the field of quantum materials and engage in active collaboration with industry and startups.

Innovative AI platform: Alqem AI's platform combines extensive databases of material predictions with high-quality training data and laboratory synthesis to turn digital predictions into real materials.

Partnership with Alqem AI: Alqem AI is launching a project to identify new magnetic materials that do not contain rare earth elements. The company is receiving support for this subproject from Prof. Claudia Felser, director at the Max Planck Institute for Chemical Physics of Solids.

Helimagnetic q-orientation can be reversibly and polarity-selectively controlled by electric current in the presence of an applied magnetic field, report researchers from Institute of Science Tokyo. In Co_8.5Zn_8.5Mn₃, they combine symmetry analysis with in situ Lorentz transmission electron microscopy to show a new framework for electrically controlling complex magnetic orders, with potential implications for future magnetic memory and spintronic devices.

A new physics-informed machine-learning method could help researchers find two-dimensional materials with unusual electronic properties more quickly and with fewer calculations.

ETH Zurich physicist Yiwen Chu and her colleagues have developed a new approach to quantum computing. For the first time, it combines vibrating memory devices – known as mechanical resonators – with the central computing units; superconducting qubits. The computer architecture differs from previous quantum computing approaches. Information is stored in a working memory in the form of vibrations, thereby significantly increasing the system's storage capacity. Chu and her team also demonstrate that their approach can successfully perform both fundamental computational operations and more advanced quantum calculations. In so doing, they provide proof of feasibility and lay the groundwork for a fully programmable quantum computer that is, in principle, capable of carrying out any quantum computation. 

Ongoing research reveals that multifloral honey is a promising candidate for protecting human skin cells from premature ageing and cell damage caused by UV radiation, with the potential for developing future clinical and cosmetic applications.

Conventional catalyst research has mainly focused on incrementally improving catalysts for known reactions or optimizing reaction conditions for known catalysts. A new study demonstrated a new catalyst-catalysis co-exploration strategy that searches for catalysts and reaction conditions simultaneously, rather than optimizing catalysts for a predefined reaction. Using methane conversion as a test case, the team evaluated 200 catalysts, which revealed high-performance catalyst-catalysis combinations.

A research team at Saitama University has developed a concise method for synthesizing structurally defined ladder-type oligothiophenes, sulfur-containing molecular frameworks that are important in organic semiconductor research. By precisely controlling the orientation of thiophene rings, the team successfully synthesized all 14 target ladder-type regioisomers based on thienothiophene, dithienothiophene, and trithienothiophene frameworks, opening new possibilities for the molecular design of organic electronic materials.