Over the past decade, generative deep learning models have been applied successfully to the design of novel drug molecules, organic synthesis routes, and functional molecules tailored for electronic/optoelectronic devices. ...
Sunlight sparkling on water evokes the rich phenomena of liquid-light interaction, spanning spatial and temporal scales. While the dynamics of liquids have fascinated researchers for decades, the rise of neuromorphic computing ...
Optics & Photonics
Jul 25, 2022
0
481
Tomographic reconstruction of an object's interior volume from limited angular views is a challenging problem with practical applications in biological imaging, failure analysis of integrated circuits, etc. A team at MIT ...
Optics & Photonics
Apr 14, 2021
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14
HSE scientists have proposed a way to improve the accuracy of finding Z-DNA, or DNA regions that are twisted to the left instead of to the right. To do this, they used neural networks and a dataset of more than 30,000 experiments ...
Molecular & Computational biology
Dec 17, 2020
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63
By applying natural language processing tools to the movements of protein molecules, University of Maryland scientists created an abstract language that describes the multiple shapes a protein molecule can take and how and ...
Biochemistry
Oct 9, 2020
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411
Analog machine learning hardware offers a promising alternative to digital counterparts as a more energy efficient and faster platform. Wave physics based on acoustics and optics is a natural candidate to build analog processors ...
