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超导材料搜索效率提升5倍!佛罗里达大学等用深度学习变革材料发现 ...
作者:田小幺编辑:李宝珠转载请联系本公众号获得授权,并标明来源美国佛罗里达大学和田纳西大学的研究人员,通过深度学习模型 BETE-NET,成功预测了金属的电声相互作用 Eliashberg 谱函数 α²F(ω),并将搜索高 Tc 超导体的效率提高了 ...
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