'Democratizing chemical analysis': Using machine learning and robotics to identify chemical compositions from images
Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried ...
Tech Xplore18h
SrZrSe₃ chalcogenide perovskites with advanced metal sulfide hole transport layers achieve 27.8% efficiency
As the world increasingly prioritizes sustainable energy solutions, solar power stands out as a leading candidate for clean ...
Strong drilling results point to growth and upgrades in copper-gold resource
HIGHLIGHTS: Colline is completely outside existing mineral resources, sits less than 4km from the Chibougamau Processing ...
Micro metal-movers: Biochemists are one step closer to better cancer treatments
By unraveling the complex choreography of cellular machinery, Michigan State University researchers are helping identify the ...
AZoCleantech1d
Real-Time Analysis of Metal-Containing Aerosols
Advances in real-time MS analysis of ambient air have transformed AQM, providing a mechanism to detect and enforce air ...
AZoM1d
Microwave-Induced Plasma TOFMS for Metal-Containing Aerosol Analysis
The mipTOF mass spectrometer provides innovative real-time analysis of metal aerosols, improving understanding of their ...
Critical Metals Corp. Unveils Exceptional Drilling Results Confirming Extensive Depth Potential at World-Class Tanbreez Rare Earth Project
Critical Metals Corp recently announced its maiden SK1300 report for the Tanbreez Project of 45MT (consisting of 19.5 million ...
VoxelMatters1d
Multi-metal 3D printing with PBF picks up steam
Explore the innovative world of multi-metal 3D printing and its industrial applications driven by AMCM and Schaeffler Aerosint ...
Science Daily2d
Understanding the origin of magnetic moment enhancement in novel alloys
Iridium-doped iron-cobalt (Fe-Co-Ir) alloys, previously identified through machine learning, have been shown to have enhanced magnetic properties, surpassing even the widely used pure Fe-Co alloy.