Results 21 to 30 of about 19,473,068 (392)
Small data machine learning in materials science
npj Computational Materials, 2023 This review discussed the dilemma of small data faced by materials machine learning. First, we analyzed the limitations brought by small data. Then, the workflow of materials machine learning has been introduced.
Pengcheng Xu +3 more
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Interpretable and Explainable Machine Learning for Materials Science and Chemistry [PDF]
Accounts of Materials Research, 2021 While the uptake of data-driven approaches for materials science and chemistry is at an exciting, early stage, to realise the true potential of machine learning models for successful scientific discovery, they must have qualities beyond purely predictive
Felipe Oviedo +3 more
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Benchmarking the performance of Bayesian optimization across multiple experimental materials science domains [PDF]
npj Computational Materials, 2021 Bayesian optimization (BO) has been leveraged for guiding autonomous and high-throughput experiments in materials science. However, few have evaluated the efficiency of BO across a broad range of experimental materials domains.
Qiaohao Liang +14 more
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Molecular Weight Dependence of Polymersome Membrane Structure, Elasticity, and Stability [PDF]
, 2001 Vesicles prepared in water from a series of diblock copolymers“polymersomes”are physically characterized. With increasing molecular weight Mn, the hydrophobic core thickness for self-assembled bilayers of poly(ethylene oxide)−polybutadiene increases up ...
H. Bermudez +9 more
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IOP Conference Series: Materials Science and Engineering
IOP Conference Series: Materials Science and Engineering, 2022 International Nuclear Science, Technology and Engineering Conference 2021 (iNuSTEC2021) “Nuclear Science and Technology for Socio-economic Development” Universiti Teknologi Malaysia (UTM) Skudai, Johor, Malaysia 10-12 October 2021 Editors Nahrul Khair ...
Dr. Muji Setiyo +190 more
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Materials Science in Australia [PDF]
Advanced Materials, 2020 Materials science is an inherently interdisciplinary research field, which involves physics, chemistry, and biology. The research of materials science emphasizes understanding a material's structure, and thus its properties and performance, through multiple capabilities ranging from synthesis, processing, and characterization to theory.
Wang, Guoxiu +3 more
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Explainable machine learning in materials science
npj Computational Materials, 2022 Machine learning models are increasingly used in materials studies because of their exceptional accuracy. However, the most accurate machine learning models are usually difficult to explain.
Xiaoting Zhong +5 more
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Quantum Algorithms for Quantum Chemistry and Quantum Materials Science. [PDF]
Chemical Reviews, 2020 As we begin to reach the limits of classical computing, quantum computing has emerged as a technology that has captured the imagination of the scientific world.
B. Bauer +3 more
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Opportunities and Challenges for Machine Learning in Materials Science [PDF]
Annual review of materials research (Print), 2020 Advances in machine learning have impacted myriad areas of materials science, such as the discovery of novel materials and the improvement of molecular simulations, with likely many more important developments to come.
D. Morgan, R. Jacobs
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