Research Highlight

Workshop at Argonne National Laboratory explores AI-driven urban planning and resilience through detailed simulations and data integration.

In a study published in the 2025 IEEE International Conference on eScience, researchers developed an active learning algorithm that doubles the rate of high-quality materials discovery, accelerating the search for advanced materials with generative AI.

In a study published in Communications Materials, scientists showed that calcite dissolves fastest in strained regions, revealing how defects and strain drive mineral reactivity and enabling more accurate models of mineral behavior.

In a study published in Physical Review A, researchers observed a surprising pseudo-resonance in neon gas using RIXS, revealing a new mechanism that can cause spurious signals in x-ray emission spectra during advanced chemical analysis.

In a study published in ACS Nanoscience Au, researchers showed how solvent choice in HEA nanoparticle synthesis impacts elemental distribution, with PEG 200 producing uniform nanoparticles and enhancing catalytic performance.

In a study published in Solar Energy Materials and Solar Cells, researchers used advanced computational methods to show how selenium alloying improves CdTe solar cells by stabilizing dopants, reducing defect formation and enhancing electronic properties.

In a study published in Nature Communications, researchers demonstrated time-domain coherent control of remote magnon interference using single-shot measurements.