Incumbent
发表于 2025-3-23 12:22:50
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scotoma
发表于 2025-3-23 16:11:25
,Data-Efficient Learning of Materials’ Vibrational Properties, macroscopic functionalities. While this question is historically addressed through a combination of structure and property characterization, theory, and calculation, machine learning methods guided by crystalline symmetry constraints may provide an alternate route. In this chapter, we demonstrate t
companion
发表于 2025-3-23 20:51:58
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规范要多
发表于 2025-3-24 00:49:39
Machine Learning Spectral Indicators of Topology,n used to identify thousands of candidate topological materials, experimental determination of materials’ topology often poses significant technical challenges. X-ray absorption spectroscopy (XAS) is a widely-used materials characterization technique sensitive to atoms’ local symmetry and chemical e
Indicative
发表于 2025-3-24 05:12:34
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Mercantile
发表于 2025-3-24 06:44:06
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Kaleidoscope
发表于 2025-3-24 14:32:25
Background,entifying the key challenges that call for data-driven insights. Then, we summarize several existing data-driven methodologies and introduce the fundamental building blocks of neural networks, which are implemented to address the identified challenges.
NEG
发表于 2025-3-24 17:19:20
onsists largely of essays written from an advocate point of view. In contrast, the participants of this Totts Gap Collo quium examined disparate data and opinion in the hope of achieving, insofar as possible, reconciliation and synthesis. The dialogue dealt with values and priorities attached to health and h978-1-4615-8839-9978-1-4615-8837-5
CONE
发表于 2025-3-24 21:37:41
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flaggy
发表于 2025-3-25 03:04:07
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