It contains tutorial material explaining the relevant foundations needed in chemistry, physics as well as machine learning to give an easy starting point for interested readers. In addition, a number of research papers defining the current state-of-the-art are included. The book has five parts (...
* 价格不包括递送费用。 * 淘书网特价书均为尾货库存图书,在品相,光盘等附属品上可能与正价书稍有区别。 Machine Learning meets Quantum Physics isbn: 3030402444 书名: Machine Learning meets Quantum Physics 页数: 467 出版社: Springer Nature 装帧: Paperback 出版年: 2020 > 去看更多介绍©...
Schütt, K. et al.Machine Learning Meets Quantum Physics.Lecture Notes in Physics(Springer International Publishing, 2020). von Lilienfeld, O. A., Müller, K.-R. & Tkatchenko, A. Exploring chemical compound space with quantum-based machine learning.Nat. Rev. Chem.4, 347–358 (2020). Kohn...
M. Machine learning meets quantum physics. Phys. Today 72, 48–54 (2019). Google Scholar Waller, L. & Tian, L. Machine learning for 3D microscopy. Nature 523, 416–417 (2015). Google Scholar Barbastathis, G., Ozcan, A. & Situ, G. On the use of deep learning for computational...
The search for a good machine learning (ML) model takes a long time and requires the considerations of many alternatives, including data preprocessing, alg
Kernel methods for quantum chemistry. In Machine Learning Meets Quantum Physics; Schütt K.T., Chmiela S., von Lilienfeld O.A., Tkatchenko A., Tsuda K., Müller K.-R., Springer; pp 25–36. Google Scholar 126 C. Chen, W. Ye, Y. Zuo, C. Zheng, S.P. Ong Graph networks as a...
Big Data meets Quantum Chemistry Approximations: The $\\Delta$-Machine Learning Approach R Ramakrishnan,PO Dral,M Rupp,... - arXiv e-prints 被引量: 0发表: 2015年 Big Data Meets Quantum Chemistry Approximations: The Δ-Machine Learning Approach A. Big Data Meets Quantum Chemistry Approximations...
Probabilistic machine learning (ML) meets all the previously mentioned requirements for building state-of-the-art, next-generation financial systems.11 But what is probabilistic ML? Before we answer that question, let’s first make sure we understand what we mean by ML in particular and AI in ...
Their machine-learning approach reduces the measuring time and the number of measurements by a factor of approximately four in comparison with conventional data acquisition. First, the scientists train the machine with data on the current flowing through the quantum dot at different voltages. Like ...
A. in Machine Learning meets Quantum Physics, Lecture Notes in Physics (eds Schütt, K. T. et al.) (Springer, 2020). Behler, J. Atom-centered symmetry functions for constructing high-dimensional neural networks potentials. J. Chem. Phys. 134, 074106 (2011). Article PubMed CAS Google ...