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Physics

Scientists employ generative artificial intelligence to tackle intricate queries in the field of physics.

Researchers from MIT and the University of Basel in Switzerland have developed a new machine-learning framework that can map phase diagrams for novel physical systems automatically. By applying generative artificial intelligence models, the team has developed a more efficient method for tracking and understanding phase transitions in water and other complex physical systems, which offers…

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In 2024, Gosha Geogdzhayev and Sadhana Lolla were recognized as Scholars by the Gates Cambridge program.

Two MIT seniors Gosha Geogdzhayev and Sadhana Lolla have been awarded the prestigious Gates Cambridge Scholarship. This scholarship provides full-cost education at Cambridge University in the U.K, for post-graduate courses of their choice. Established in 2000 for students from countries outside the U.K., the Gates Cambridge Scholarship aims to create a global network of future…

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Geogdzhayev Gosha and Lolla Sadhana have been announced as 2024 Cambridge Scholars under the Gates Foundation.

MIT seniors Gosha Geogdzhayev and Sadhana Lolla have achieved the distinguished Gates Cambridge Scholarship, granting them the chance to undertake postgraduate study at the University of Cambridge in the UK. Gates Cambridge Scholarships were founded in 2000, with the aim to develop a worldwide network of future leaders committed to improving lives globally. Gosha Geogdzhayev, originally…

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This method may effectively resolve partial differential equations for a multitude of uses.

Partial differential equations (PDEs) are used in fields like physics and engineering to model complex physical processes, offering insight into some of the world's most intricate systems. To solve these equations, researchers use high-fidelity numerical solvers, which are time-consuming and computationally expensive. A simplified alternative, data-driven surrogate models, compute the goal property of a solution…

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