Tag: Materials

Machine learning boosts the search for ‘superhard’ materials

Machine learning boosts the search for 'superhard' materials
Researchers have developed a machine learning model that can accurately predict the hardness of new materials, allowing scientists to more readily find compounds suitable for use in a variety of applications. Credit: University of Houston

Superhard materials are in high demand in industry, from energy production to aerospace, but finding suitable new materials has largely been a matter of trial and error based on classical materials such as diamonds. Until now.


Researchers from the University of Houston and Manhattan College have reported a machine learning model that can accurately predict the hardness of new materials, allowing scientists to more readily

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A machine learning solution for designing materials with desired optical properties

A Machine Learning Solution for Designing Materials with Desired Optical Properties
Controlling light-matter interactions is central to a variety of important applications, such as quantum dots, which can be used as light emitters and sensors. Credit: PlasmaChem

Understanding how matter interacts with light—its optical properties—is critical in a myriad of energy and biomedical technologies, such as targeted drug delivery, quantum dots, fuel combustion, and cracking of biomass. But calculating these properties is computationally intensive, and the inverse problem—designing a structure with desired optical properties—is even harder.

Now Berkeley Lab scientists have developed a machine learning model that can be used for both problems—calculating optical properties of a known structure and, inversely,

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Machine learning could teach us how to make manufacturing of materials cleaner and more sustainable

AI plots sustainable materials
Machine learning and design of experiments can be combined to identify the most sustainable method for developing advanced materials. Credit: 020 KAUST; Xavier Pita

Chemistry computer algorithm does more with less experimental data to reveal the optimal way to make green materials.


Machine learning could teach us how to make manufacturing of materials cleaner and more sustainable by taking a holistic view to identify the greenest production method, suggest KAUST researchers.

The quest for sustainability means that scientists worldwide are developing advanced materials to help address issues, including carbon capture, water desalination and energy storage, says Rifan Hardian, a postdoc

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Machine-intelligence discovers new two-dimensional charge density wave materials

Machine-intelligence discovers new two-dimensional charge density wave materials
Machine-Intelligence assisted high-throughput computational framework for 2D CDW material discovery. Credit: Arnab Kabiraj and Santanu Mahapatra

A crystal is a solid material whose constituents atoms are arranged in a periodic fashion. A charge density wave (CDW) is a quantum mechanical phenomenon observed in some crystals with metallic properties. It is usually characterized by a distortion in the periodic arrangement of atoms. This, in turn, results in a standing-wave-like periodic distortion in the otherwise uniform charge (electron) density, and hence the name charge density wave.

R.E. Peierls showed in 1930 that for a hypothetical one-dimensional chain of atoms with metallic nature,

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Health Risks Associated With Auto Body Painting Materials

by Chris Stevenson

Jupiterimages/Photos.com/Getty Images

Auto body and paint shops use caustic, flammable and carcinogenic chemicals in their line of work, more than in the automotive repair trade. The health risks associated with auto body painting materials can be long-lasting and serious to the employee, and even customers, if the proper steps to implement safety precautions and certified equipment are not enforced. Every person entering or in the auto body paint trade, including current employees, should be aware of the numerous health risks they face each day.

Flammable Substances and Burns

Automotive paint prepared with reducers and lacquer thinner pose

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