2D Binary Superlattices of Gold Nanoparticles Two distinct complex two-dimensional binary superlattices were self-assembled by co-crystallizing gold nanoparticles (AuNPs) of two distinct sizes.
The Atomic-Level Structure of Mesoporous h-BN Revealed Solid-state NMR spectroscopy and plane-wave DFT reveal the structure of pores/defects of mesoporous hexagonal boron nitride (p-BN).
A New Fermionic State Revealed A new type of Fermi arcs have been discovered, with spin textures and novel magnetic splitting driven by long range antiferromagnetic order in cubic NdBi not readily explained by existing theories.
Designing Transformations in High-Entropy Ferritic Steels Design of order-disorder transformations in high-entropy ferritic (Ti-Cr-Fe-Ni-Al) steels by a novel electron-based theory that identifies electronic origins for chemical ordering and how to control it.
Spintronics by guided chemical doping and disorder Established simple electron-count, chemical-alloy design guide to enhance half-metal behavior, accelerating discovery of new spintronic systems for use in memory and nano-electronic devices.
Small-moment antiferromagnetic ordering Three zero-field magnetic transitions temperatures and six ordered phases found. These magnetically ordered phases are associated with small moments (∼0.12 μB/Ni) in the saturated state and small changes in entropy.
Improved quantum computing algorithm to find ground states of correlated quantum models A new variational quantum algorithm improves the preparation of quantum many-body ground states by automatically building efficient quantum circuits.
Deep learning crystal field parameters from thermodynamic observables Discovery of deep neural net algorithm that extracts crystal field parameters in an efficient and unbiased way from thermodynamic results.
Methyl-Driver Overhauser Dynamic Nuclear Polarization A new dynamic nuclear polarization (DNP) mechanism has been discovered involving methyl rotation to mediate an Overhauser effect (OE).
Characterizing the Solvation Characteristics of Deep Eutectic Solvents Composed of Active Pharmaceutical Ingredients Solvation properties of active pharmaceutical ingredient-based deep eutectic solvents (API-DESs) were systematically studied. API-DESs were classified into different groups using their individual solvation interactions. Grouping of API-DESs can be used to interpret and explain their behavior in various chemical separations and material science.
