by | Jan 5, 2026 | 2D materials, Aerospace, AGM, Angstron Materials, Audio, Development, Investment, Products, Research
Scientists have found a way to see ultrafast molecular interactions inside liquids using an extreme laser technique once thought impossible for fluids. When they mixed nearly identical chemicals, one combination behaved strangely—producing less light and erasing a...
by | Jan 4, 2026 | 2D materials, Aerospace, AGM, Angstron Materials, Audio, Development, Investment, Products, Research
Researchers from Nanyang Technological University, University of Chicago, University of Wisconsin, Chungnam National University, National Institute for Materials Science, MIT and Singapore University of technology and design have developed hybrid tungsten...
by | Jan 3, 2026 | 2D materials, Aerospace, AGM, Angstron Materials, Audio, Development, Investment, Products, Research
Scientists have developed molecular devices that can switch roles, behaving as memory, logic, or learning elements within the same structure. The breakthrough comes from precise chemical design that lets electrons and ions reorganize dynamically. Unlike conventional...
by | Jan 3, 2026 | 2D materials, Aerospace, AGM, Angstron Materials, Audio, Development, Investment, Products, Research
Fender Audio, the consumer electronics division of the instrument manufacturer, will present two flagship audio products at CES 2026. Developed under a licensing agreement with Singapore-based RiffSound, the new lineup reflects Fender’s entry into advanced material...
by | Jan 2, 2026 | 2D materials, Aerospace, AGM, Angstron Materials, Audio, Development, Investment, Products, Research
Researchers from Dongguan University of Technology have developed a high-performance X-ray detector based on a graphene/perovskite heterostructure, addressing the limitations of traditional perovskite detectors that suffer from charge recombination in thick and...
by | Dec 30, 2025 | 2D materials, Aerospace, AGM, Angstron Materials, Audio, Development, Investment, Products, Research
As power consumption by machine learning technologies rises, demand grows for AI devices with low power consumption and high computational performance. “Physical reservoirs” are AI devices that perform efficient brain-inspired information processing called...
