08:55Methods of Ex Situ and In Situ Investigations of Structural Transformations: The Case of Crystallization of Metallic Glasses
04:09Demonstrating the Simplicity and In Situ Temperature Monitoring of the Mechanochemical Synthesis of Metal Chalcogenides Suitable for Thermoelectrics
Ionic Crystal Structures
07:11Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
08:50Preparation of Large-area Vertical 2D Crystal Hetero-structures Through the Sulfurization of Transition Metal Films for Device Fabrication
16:11Thermochemical Studies of Ni(II) and Zn(II) Ternary Complexes Using Ion Mobility-Mass Spectrometry
您也可能阅读
通过共同作者、期刊和引用图与本文相关的文章。
Tianshu Li1, Hyunsoo Park1, Aron Walsh1
1Department of Materials, Imperial College London, Exhibition Road, London SW7 2AZ, U.K.
生成型人工智能 (genAI) 模型加速了稳定的无机晶体结构的发现,在预测多样化,低能材料 (如金属基化物) 的传统方法中表现优于传统方法.
科学领域:
背景情况:
研究的目的:
主要方法:
主要成果:
结论:
04:09Demonstrating the Simplicity and In Situ Temperature Monitoring of the Mechanochemical Synthesis of Metal Chalcogenides Suitable for Thermoelectrics
Published on: August 30, 2024
07:11Fully Autonomous Characterization and Data Collection from Crystals of Biological Macromolecules
Published on: March 22, 2019