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20152026
most citedIncluding heavy spin effects in the prediction of a tetraquark with lattice QCD potentials

89 citations · 131 across the 13 of their papers we have counts for

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cond-mat.mtrl-sci2026

LiNiO2/NiO Phase Prediction Using Artificial Neural Networks

Jonas Scheunert, Shamail Ahmed, Thomas Demuth +2

In the realm of material analysis, identifying different material phases is of key importance. Artificial intelligence in the form of neural networks provides a very fast and, once…