Researchers found that oxidation strongly and thickness-dependently changes charge transport in Ti2CTx MXene, with monolayers becoming insulating while thicker flakes retain finite conductivity through partially protected metallic regions. Measurements on individual flakes and spray-coated films linked oxidation level to distinct hopping regimes, providing practical guidance for designing air-sensitive MXene inks with tailored electronic properties.
Researchers directly imaged voltage-driven blistering in two-dimensional nanochannels and linked those structural changes to ionic conductance, hysteresis, and memory. Their experiments and modeling show that osmotic and electrostatic forces can drive different blister responses, helping explain why nominally similar nanofluidic devices behave differently.
Nature's game of hide and seek is entering the age of intelligent machines. A new article in National Science Review traces how animal camouflage, advanced materials and artificial intelligence are converging to reshape the contest between detecting an object and keeping it concealed.
A research team led by Dr. Taehoon Kim of the Composites & Convergence Materials Research Division at the Korea Institute of Materials Science (KIMS), headed by President Chul-jin Choi, has collaborated with research teams led by Dr. Seon Joon Kim and Dr. Jaewoo Kim of the Korea Institute of Science and Technology (KIST) to develop an ultrathin composite film that combines electromagnetic interference (EMI) shielding, infrared (IR) stealth, and high mechanical strength.
Researchers developed an AI-assisted computational pipeline that combines symmetry-guided screening, machine learning, and density functional theory to search for altermagnetic metal-organic frameworks. The approach also identified molecular features associated with altermagnetism and spin splitting, providing design rules for selecting future candidates for computational and experimental study.
As transistors approach atomic dimensions, the interface between different materials grows in importance. Researchers from?National Yang Ming Chiao Tung University (NYCU), TSMC Corporate Research, and colleagues from National Taiwan University, Academia Sinica, and the National Center for Instrumentation Research have devised an interface engineering approach to address a major challenge in two-dimensional (2D) transistors.
Flexible NIR and SWIR image sensors combine infrared spectral sensing with conformability, offering new possibilities for wearable healthcare, agriculture, inspection, security, robotics, and human-computer interaction. The review highlights advances in organic semiconductors, quantum dots, perovskites, 2D materials, device architectures, and computational imaging while identifying stability, readout integration, and standardized performance measurement as key barriers to practical deployment.
Ultra-thin two-dimensional (2D) materials are only one atom thick. They can act as powerful filters at the tiniest scales, even approaching sub-atomic dimensions. In this work, scientists used machine learning to develop a scalable method to grow high-quality (almost defect-free), atom-thin layers of boron and nitrogen.
Researchers developed a microscopic theory in which intra-valley, finite-momentum pair-density waves generate the Kekulé patterns observed in magic-angle twisted bilayer graphene. The model links spin-triplet pairing, electronic nematicity, and Bogoliubov Fermi surfaces to key experimental signatures of unconventional superconductivity.
Chiral 2D metal halide perovskites (MHPs) are among the most promising materials for future technologies that exploit the spin of electrons in spin-based optoelectronics or spintronics, but getting them to perform consistently has proven difficult.
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