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AI-driven robots start hunting for novel materials without help from humans
SAN FRANCISCO—
Imagine a cookbook with 150,000 tempting dishes—but few recipes for making them. That’s the challenge facing an effort at the Lawrence Berkeley National Laboratory (LBNL) known as the Materials Project. It has used computers to predict some 150,000 new materials that could improve devices such as battery electrodes and catalysts. But the database’s users around the globe have managed to make just a fraction of these for testing, leaving thousands untried. “Synthesis has become the bottleneck,” says Gerbrand Ceder, a materials scientist at LBNL.
Now, Ceder and his colleagues have married a...
Source: ScienceNOW - April 20, 2023 Category: Science Source Type: news
Evaluation of marginal and internal fit of lithium disilicate and zirconia all-ceramic CAD-CAM crowns using digital impressions: A systematic review
CONCLUSION: The outcome of this review suggests that clinically acceptable marginal and internal fit can be attained with LD and Z all-ceramic CAD-CAM crowns using digital impressions. Additionally, it has been found that LD and Z ceramics provide similar marginal gap values, but LD material provides better internal fit than Z.PMID:36916623 | DOI:10.1177/20501684231154323
Source: Primary dental care : journal of the Faculty of General Dental Practitioners UK - March 14, 2023 Category: Dentistry Authors: Ilser Turkyilmaz Merve Benli Sarah Yun Source Type: research
