Scientists use artificial neural networks to predict new stable materials

Artificial neural networks — algorithms inspired by connections in the brain — have ‘learned’ to perform a variety of tasks, from pedestrian detection in self-driving cars, to analyzing medical images, to translating languages. Now, researchers are training artificial neural networks to predict new stable materials.
Source: Science Daily

Algorithm accurately predicts how electromagnetic waves and magnetic materials interact

Engineers have developed a new tool to model how magnetic materials, which are used in smartphones and other communications devices, interact with incoming radio signals that carry data. It accurately predicts these interactions down to the nanometer scales required to build state-of-the-art communications technologies.
Source: Science Daily

Design new materials with specific properties: Breaking down band structures

Despite a deep understanding of the properties of individual atoms — the ‘ingredients’ that make up a crystal — scientists found that, when they are combined they often display new, unanticipated properties, making efforts to design new materials little more than guesswork. To make that process more predictable, scientists have produced a system to represent band structures — energy bands, similar to electron orbital, that run through solids — to quickly understand the properties of a given material.
Source: Science Daily

Design new materials with specific properties: Breaking down band structures

Despite a deep understanding of the properties of individual atoms — the ‘ingredients’ that make up a crystal — scientists found that, when they are combined they often display new, unanticipated properties, making efforts to design new materials little more than guesswork. To make that process more predictable, scientists have produced a system to represent band structures — energy bands, similar to electron orbital, that run through solids — to quickly understand the properties of a given material.
Source: Science Daily

Design new materials with specific properties: Breaking down band structures

Despite a deep understanding of the properties of individual atoms — the ‘ingredients’ that make up a crystal — scientists found that, when they are combined they often display new, unanticipated properties, making efforts to design new materials little more than guesswork. To make that process more predictable, scientists have produced a system to represent band structures — energy bands, similar to electron orbital, that run through solids — to quickly understand the properties of a given material.
Source: Science Daily

Water bottles, other recycled 3D printing materials could avoid military supply snags

Soldiers on the battlefield or at remote bases often have to wait weeks for vital replacement parts. Now scientists report they have found a way to fabricate many of these parts within hours under combat conditions using water bottles, cardboard and other recyclable materials found on base as starting materials for 3D printing.
Source: Science Daily

Twisted electronics open the door to tunable 2-D materials

Researchers report an advance that may revolutionize the field of 2-D materials such as graphene: a ‘twistronic’ device whose characteristics can be varied by simply varying the angle between two different 2-D layers placed on top of one another. The device provides unprecedented control over the angular orientation in twisted-layer devices, and enables researchers to study the effects of twist angle on electronic, optical, and mechanical properties in a single device.
Source: Science Daily

Thousands of exotic ‘topological’ materials discovered through sweeping search

Thousands of exotic ‘topological’ materials discovered through sweeping search

Thousands of exotic ‘topological’ materials discovered through sweeping search, Published online: 08 August 2018; doi:10.1038/d41586-018-05913-4

Haul thrills physicists, who previously knew of just a few hundred of these peculiar materials.
Source: Nature