The worldwide quest by researchers to find better, more efficient materials for tomorrow’s solar panels is usually slow and painstaking. Researchers typically must produce lab samples — which are often composed of multiple layers of different materials bonded together — for extensive testing.

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When the soil warms up, it releases more carbon dioxide (CO2) – an effect that further fuels climate change. Until now, it had been assumed that the reason for this was mainly due to the presence of small soil animals and microorganisms that would eat and breathe more in warmer temperatures. However, a new study in Nature Climate Change has shown that this is not the case. Quite the contrary: If warmth is accompanied by drought, the soil animals eat even less. In order to improve the predictive power of climate models, it is now crucial to understand the biological processes in the soil better, say the scientists.

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Last month, three MIT materials scientists and their colleagues published a paper describing a new artificial-intelligence system that can pore through scientific papers and extract “recipes” for producing particular types of materials.

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As a short-lived climate forcer, black carbon aerosols in the atmosphere play a vital role in climate change by absorbing solar radiation and altering the formation, lifespan and albedo of clouds. It also provides "seed" for haze formation in urban/regional scale. In northern China, open biomass burning (OBB), such as straw burning after harvesting, is one of important sources of refractory black carbon (rBC). OBB emits both soot particles and substantial amount of semi-volatile organic matters, both of which will undergo a very complicated mixing and evolution processes in the atmosphere to change their ability to form cloud condensation nuclei.

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