Titlebook: Machine Learning in Molecular Sciences; Chen Qu,Hanchao Liu Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive lic

Jaundice

書目名稱Machine Learning in Molecular Sciences影響因子(影響力)




書目名稱Machine Learning in Molecular Sciences影響因子(影響力)學(xué)科排名




書目名稱Machine Learning in Molecular Sciences網(wǎng)絡(luò)公開度




書目名稱Machine Learning in Molecular Sciences網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning in Molecular Sciences被引頻次




書目名稱Machine Learning in Molecular Sciences被引頻次學(xué)科排名




書目名稱Machine Learning in Molecular Sciences年度引用




書目名稱Machine Learning in Molecular Sciences年度引用學(xué)科排名




書目名稱Machine Learning in Molecular Sciences讀者反饋




書目名稱Machine Learning in Molecular Sciences讀者反饋學(xué)科排名

啞巴

Machine Learning in Molecular Sciences978-3-031-37196-7Series ISSN 2542-4491 Series E-ISSN 2542-4483

incisive

https://doi.org/10.1007/978-3-031-37196-7Machine Learning; Molecular Sciences; Deep Learning; Artificial Intelligence; Graph Neural Networks; Voxe

essential-fats

Development of Exchange-Correlation Functionals Assisted by Machine Learning,ation?functionals of density functional theory. In this chapter, we review how the ML tools are used for this and the performances achieved recently. It is revealed that the ML, not being opposed to the analytical methods, complements human intuition and advances the development of the first-principles calculation with desired accuracy.

APNEA

Chen Qu,Hanchao LiuComprehensive survey of machine learning in molecular sciences.Perspectives on challenges and future of machine learning in chemistry.Features contributions from experts in the field

變化

Challenges and Advances in Computational Chemistry and Physicshttp://image.papertrans.cn/m/image/620699.jpg

POINT

Encumber

大約冬季

打火石

Development of Exchange-Correlation Functionals Assisted by Machine Learning,ation?functionals of density functional theory. In this chapter, we review how the ML tools are used for this and the performances achieved recently. It is revealed that the ML, not being opposed to the analytical methods, complements human intuition and advances the development of the first-princip