Predicting the properties of an object is a most natural task for machine learning (ML) algorithms, and molecules or crystals are not an exception. Every drug discovery or materials design pipeline depends on the ability ...
Magnetotactic bacteria (MTB) are phylogenetically and morphologically diverse prokaryotes that share an ancestral capability of producing intracellular magnetite (Fe3O4) or/and greigite (Fe3S4) nanocrystals within organelles ...
Cell & Microbiology
Nov 2, 2022
0
8
Scientists from the Faculty of Physics at the University of Warsaw and the Polish Academy of Sciences used photons to create a spiking neuron, the basic element of the future photonic neural network processor. The results ...
Optics & Photonics
Oct 24, 2022
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24
A team based at Princeton University has accurately simulated the initial steps of ice formation by applying artificial intelligence (AI) to solving equations that govern the quantum behavior of individual atoms and molecules.
General Physics
Aug 8, 2022
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959
Theoretical calculation has become an indispensable approach to reveal the thermodynamics and kinetics of catalysis. Static computational strategy is the most popular approach in theoretical catalysis, in which the reaction ...
Analytical Chemistry
Jun 15, 2022
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5
Darwin's theory of evolution probably isn't the full explanation for the emergence of life. Even in a barren environment conducive to fierce competition, cooperation between molecular networks may have spawned life on Earth ...
Evolution
May 30, 2022
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886
Certain molecules have features that cause them to group together in particular ways, known as self-assembly. The formed structures can then be used as templates for growing polymers in ways that would otherwise be difficult ...
Polymers
Nov 2, 2021
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46
Many modern fitness trackers and smartwatches feature integrated LEDs. The green light emitted, whether continuous or pulsed, penetrates the skin and can be used to measure the wearer's heart rate during physical activity ...
Biotechnology
Jun 7, 2021
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186
Researchers from Institute of Industrial Science at The University of Tokyo investigated the mechanism of phase separation into the two phases with very different particle mobilities using computer simulations. They found ...
Analytical Chemistry
Feb 10, 2021
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945
Machine learning algorithms, the basis of neural networks, are opening doors to new discoveries—or at least offering tantalizing clues—one massive database at a time. Case in point: Pacific Northwest National Laboratory ...
Analytical Chemistry
Oct 14, 2020
0
26
