Research Highlights
Research Highlights
Optically driven phase transitions in 2D perovskites via Higgs mode
In a study published in Nature Materials, researchers showed the first optically driven Higgs mode in 2D halide perovskites, revealing how light-induced phonon dynamics transiently stabilize a tetragonal phase for advanced optoelectronic applications.
Machine learning powered multimodal spectroscopy for advanced battery material characterization
In a study published in ACS Nano, researchers developed a machine learning powered framework combining multimodal spectroscopy and simulations to characterize atomic-scale defects in battery materials, for applications in energy storage technologies.
Breakthrough in stretchable OLED technology: achieving rigid-device performance in flexible displays
In a study published in Nature Materials, researchers built stretchable, high-performance OLEDs by innovating stretchable electron transport layers and cathodes, paving the way for high-efficiency, flexible displays in wearable and medical technologies.
Additional Research Highlights
Single-crystal battery materials: redefining strain and stability
In a study published in Nature Nanotechnology, researchers uncovered how strain evolves in single-crystal Ni-rich battery electrodes, refining cobalt and manganese roles. This breakthrough paves the way for durable, high-performance lithium-ion batteries.
Er³⁺ spin coherence in CeO₂ films for quantum networks
In a study published in Physical Review Letters, researchers demonstrated Er3+ spin coherence in CeO2 films on silicon, achieving up to 176.4 μs coherence times. This research paves the way for scalable quantum networks and advanced quantum technologies.
Diamond-MoS₂ hybrid diodes enable room-temperature diamond-based electronics
In a study published in Nano Letters, researchers integrated boron-doped diamond with monolayer MoS2 to create room-temperature-operating PN junction diodes, enabling efficient diamond-based electronics.
AI agents assisted end-to-end materials simulations
In a study published in Digital Discovery, researchers developed a multi-agent artificial intelligence framework that acts as a team of virtual experts, streamlining the use of simulations for materials discovery and design.
AI-powered autonomous electronic polymer synthesis
In a study published in Journal of the American Chemical Society, researchers introduced Polybot, an AI-driven autonomous system that rapidly designs and synthesizes electrochromic polymers with precision for energy and materials research.
Liquid metal nanophotonics: dynamic color control for advanced applications
In a study published in Advanced Materials, researchers unveiled a liquid metal-based nanophotonic platform enabling dynamic color tuning and spectral control for displays, anti-counterfeiting, and sensing.