Artificial Intelligence is no longer a futuristic concept; it is the backbone of modern software products, automation systems, generative AI platforms, and enterprise decision-making tools. If you ...
There are many experimental techniques that allow magnetic properties to be probed, but often they cannot unambiguously identify the magnetic structure. Complementing experimental results with ...
GPT (Generative Pre-trained Transformer) models, developed by OpenAI, are pre-trained language models specifically designed for text generation. These models can generate highly coherent, contextually ...
Skyrmions and antiskyrmions are topologically protected spin structures with opposite vorticities. Particularly in coexisting phases, these two types of magnetic quasi-particles may show fascinating ...
The dataset includes a mixture of metabolite/ion/cofactor/amino-acid/nucleotide/vitamin/signaling-molecule aptamer ligands. ‘Class no.’ corresponds to the ...
Atomic neural networks (ANNs) constitute a class of machine learning methods for predicting potential energy surfaces and physicochemical properties of molecules and materials. Despite many successes, ...
Statistical machine learning methods are increasingly used for neuroimaging data analysis. Their main virtue is their ability to model high-dimensional datasets, e.g., multivariate analysis of ...
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