Machine Learning in Quantum Chemistry | Estateplanning

Machine learning is being increasingly used to solve central problems in quantum chemistry, such as the calculation of molecular properties and chemical reactions. By leveraging large datasets and advanced algorithms, machine learning can improve the accuracy and efficiency of quantum chemical calculations. Researchers like [[alexander-kurzhanskiy|Alexander Kurzhanskiy]] and [[anatole-von-lilienfeld|Anatole von Lilienfeld]] are at the forefront of this field, developing new methods and techniques to apply machine learning to quantum chemistry.