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Found 4 papers, 4 papers with code
Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural Wavefunctions
Obtaining accurate solutions to the Schr\"odinger equation is the key challenge in computational quantum chemistry.
Towards a Foundation Model for Neural Network Wavefunctions
Furthermore, we provide ample experimental evidence to support the idea that extensive pre-training of a such a generalized wavefunction model across different compounds and geometries could lead to a foundation wavefunction model.
Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?
Finding accurate solutions to the Schr\"odinger equation is the key unsolved challenge of computational chemistry.
Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks
Accurate numerical solutions for the Schr\"odinger equation are of utmost importance in quantum chemistry.
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