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Machine learning unlocks secrets to advanced alloys
The concept of short-range order (SRO) โ the arrangement of atoms over small distances โ in metallic alloys has been underexplored in materials science and engineering. But the past decade has seen renewed interest in quantifying it, since decoding SRO is a crucial step toward developing tailored high-performing alloys, such as stronger or heat-resistant materials.…
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Extracting hydrogen from rocks
Itโs commonly thought that the most abundant element in the universe, hydrogen, exists mainly alongside other elements โ with oxygen in water, for example, and with carbon in methane. But naturally occurring underground pockets of pure hydrogen are punching holes in that notion โ and generating attention as a potentially unlimited source of carbon-free power.ย One…
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MIT engineers develop a way to determine how the surfaces of materials behave
Designing new compounds or alloys whose surfaces can be used as catalysts in chemical reactions can be a complex process relying heavily on the intuition of experienced chemists. A team of researchers at MIT has devised a new approach using machine learning that removes the need for intuition and provides more detailed information than conventional…