In a study published in Nature Chemical Engineering, researchers used an adaptive AI-guided robotic framework to reveal how molecular packing governs mixed ionic-electronic transport in electronic polymers.
In a study published in npj Computational Materials, researchers showed that nitrogen-vacancy centers in diamond (a leading solid-state qubit platform) are energetically attracted to dislocations and retain or improve their quantum properties.
In a study published in Advanced Functional Materials, researchers used in-situ synchrotron X-ray studies to determine that changes in the crystal structure and composition of LaCoO3 create ferromagnetism at the nanoscale.
In a study published in NPJ Computational materials, researchers developed a method, SIPRAD, to accurately reconstruct the magnetic phase shift from a single Lorentz transmission electron microscopy image that outperforms previous techniques.
In a study published in Physical Review Research, researchers devised a computational framework for ultra-high density optical memories, which can be applied to both quantum and classical devices for quantum information and microelectronics applications.
In a study published in PNAS, researchers developed a new X-ray photon correlation spectroscopy analysis that reveals hidden dynamics and enhances soft material design for applications in advanced manufacturing to natural phenomena.
In a study published in Advanced Materials, researchers reveal the nanoscale evolution of novel polar domain configurations arranged in mesoscale networks that can be manipulated with controlled laser impulses.
In a study published in Physical Review Letters, researchers revealed that nanosecond electrical pulses modulate charge density waves in two steps, which can be used to mimic neuron-like activation and firing for artificial neural networks.
