Interpolation and differentiation of alchemical degrees of freedom in machine learning interatomic potentials
J Nam, R Gómez-Bombarelli - arXiv preprint arXiv:2404.10746, 2024 - arxiv.org
Machine learning interatomic potentials (MLIPs) have become a workhorse of modern
atomistic simulations, and recently published universal MLIPs, pre-trained on large datasets …
atomistic simulations, and recently published universal MLIPs, pre-trained on large datasets …
From Link Prediction to Forecasting: Information Loss in Batch-based Temporal Graph Learning
Dynamic link prediction is an important problem considered by many recent works
proposing various approaches for learning temporal edge patterns. To assess their efficacy …
proposing various approaches for learning temporal edge patterns. To assess their efficacy …
A hybrid algorithm of particle swarm optimization and genetic algorithm with application in automatic replenishment model
X Cai, X Sun, Y Fan, T Liu - Third International Conference on …, 2024 - spiedigitallibrary.org
This paper proposes a hybrid algorithm of particle swarm optimization and genetic algorithm
named PSO-GA, which combines the advantages of genetic algorithm's population diversity …
named PSO-GA, which combines the advantages of genetic algorithm's population diversity …