3D printing is continuously evolving, and the materials that can be employed have grown significantly. While the technology was previously restricted to fast-curing plastics, it is now also suited for slow-curing plastics.
A new algorithm, based on machine learning, accelerates the measurement of materials libraries by up to four times their previous speed.
All over the world, researchers and scientists are developing new technologies and carrying out innovative and groundbreaking research. To back them up, it is essential that their labs are as efficient and effective as possible.
Additive manufacturing can help make products or parts on-demand in automotive engineering, manufacturing, and even in outer space.
Researchers at Massachusetts Institute of Technology (MIT) have developed a new method to efficiently improve the design and control of soft robots for specific tasks. This feat has customarily been a major undertaking in computation.
A robotic system that can perform a crucial task in taking apart component parts has been successfully built by engineers at the University of Birmingham.
As part of a new study, scientists have successfully used artificial intelligence to develop a model of the Universe.
When a robotic arm is combined with mass spectrometry (MS), it enables the analysis of the surface of 3D objects with irregular shapes.
The Robotics Institute Carnegie Mellon University has developed a pair of autonomous robots to detect uranium deposits on pipe walls.
Earlier this year, Berkeley Lab’s Molecular Foundry got a new suite of robotic synthesis tools called the Overture and the Symphony X (pictured above), automated chemical synthesizers that assemble custom molecular structures called peptoids.