Machine Learning

Definition of Machine Learning as it relates to Science, Mathematics, Quantum Chemistry

Machine Learning in Quantum Chemistry refers to the application of statistical learning techniques to predict quantum chemical properties and processes. These methods utilize data-driven algorithms to learn patterns from large datasets, enabling accurate predictions without explicit programming of underlying physical laws. The approach complements traditional computational chemistry by offering a computationally efficient means for exploring complex molecular systems. It bridges the gap between theory and experiment by providing a robust framework for interpreting experimental observations in terms of quantum mechanical phenomena. As such, Machine Learning serves as a valuable tool within Quantum Chemistry, facilitating scientific discovery and innovation across various domains, including drug design, materials science, and catalysis research.

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  • [dance.rice.edu] October 28th 29th, 2019. DANCE: Dark-matter And Neutrino Computation Explored. | A workshop on the computational aspects (analysis tools, machine learning, distributed computing, data acquisition) of current direct-detection dark matter experiments and medium-sized neutrino experiments.
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