Researchers have developed a new computational method that uses artificial neural networks to approximate complex physical properties, offering a potentially universal and mathematically sound approach to modelling materials and their behaviour.
Neural Network Approximation Advances Regularized Density Functionals For Ground-State Energy Minimization
