Nikki Thiele, a staff scientist in the Chemical Sciences Division of the Department of Energy’s Oak Ridge National Laboratory, has received a 2026 NIH Director’s New Innovator Award. The five-year National Institutes of Health grant supports innovative research with the potential for broad impact on biomedical and behavioral science. Thiele will develop innovative chelator designs to improve targeted radiopharmaceuticals.

Scientists from the Max Born Institute Berlin (Germany), the Université catholique de Louvain (Belgium), the University of Uppsala (Sweden), Universität Kassel(Germany), and Elettra Sincrotone Trieste (Italy) have demonstrated a new way of controlling electrons using extreme ultraviolet (XUV) light, extending so-called "quantum control" concepts into a portion of the electromagnetic spectrum that has long remained beyond reach. The results are published in Nature Photonics.

Improving X-ray imaging under photon-starved conditions could enable lower-dose and higher-resolution imaging for medical diagnosis, security inspection, and industrial testing. Researchers from Chongqing University, the 26th Institute of CETC, and Stevens Institute of Technology developed a scalable photonic crystal scintillator using Marangoni effect-driven interfacial self-assembly. The approach increased average light output by 4.64-fold and improved the X-ray imaging signal-to-noise ratio by 13 dB while maintaining spatial resolution better than 25 μm.

A new review published in PhotoniX Synergy examines how artificial intelligence is transforming the design of terahertz (THz) metamaterial devices (meta-devices). The authors survey conventional and AI-assisted approaches for THz meta-absorbers, modulators, filters, sensors, detectors, and multifunctional devices, and show how machine learning, evolutionary algorithms, deep learning, generative models, and large language models can establish data-driven links between structural geometry and electromagnetic response. The review also discusses challenges including computational cost, limited interpretability, data scarcity, and manufacturability, and outlines future directions such as physics-informed learning, multi-scale optimization, and AI-assisted optical computing hardware for 6G communication, imaging, biosensing, spectroscopy, and security inspection.