Buying your first residential property is a rewarding experience. However, it can also come with surprises, like broken ...

Rajesh Patil and Professor Magnus Löfstrand have developed an AI system that detects welding defects, reduces material waste, ...

Electrons are usually described as particles, but in a rare quantum material, that picture completely breaks down ...

Two-dimensional (2D) materials show great promise for photocatalysis, a key technology for sustainable energy solutions like water splitting. However, optimizing their performance requires precise ...

Adam Leitman Bailey and John M. Desiderio explain how New York courts decide whether a buyer’s or seller’s failure to meet a real estate contract obligation is a “material” breach that justifies ...

QUT researchers have identified why some materials can block heat more effectively, which is a key feature for energy conversion, insulation and gas storage. The first author, Siqi Liu, said the ...

1 Department of Orthopaedics, Wuhan Third Hospital, Tongren Hospital of Wuhan University, Wuhan, China 2 Hubei Key Laboratory of Exercise Training and Monitoring, Department of Sports Medicine, Wuhan ...

Thanks to advances in metrology, it’s now possible to scrutinise a SiC puck before it’s wafered and identify material defects that govern yield and profitability. BY IVAN ORLOV, CAROLINE CHÈZE AND ...

Tesla is recalling approximately 13,000 recent Model 3 and Model Y vehicles built earlier this year due to a battery pack defect that can result in power loss. In August, Tesla started getting reports ...

Guided bone regeneration (GBR) is an alternative treatment for craniofacial bone defects reconstruction through membrane barrier adaptation, such as demineralized dentin material membrane (DDMM). DDMM ...

Defects in spintronic materials, once seen as limitations, may now be key to progress. Chinese researchers discovered that imperfections can enhance orbital currents, unlocking more efficient, ...

A recent review article published in Advanced Materials explored the potential of artificial intelligence (AI) and machine learning (ML) in transforming thermoelectric (TE) materials design. The ...