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Systematic Identification of Atom-Centered Symmetry Functions for the Development of Neural Network Potentials

Local Kernel Regression and Neural Network Approaches to the Conformational Landscapes of Oligopeptides

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Frontiers Object recognition via echoes: quantifying the crossmodal transfer of three-dimensional shape information between echolocation, vision, and haptics

Inferring Novel Tumor Suppressor Genes with a Protein-Protein Interaction Network and Network Diffusion Algorithms: Molecular Therapy Methods & Clinical Development

Advances in the Application of Artificial Intelligence-Based Spectral Data Interpretation: A Perspective

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Potential index fossils for the Terminal Stage of the Ediacaran System - ScienceDirect

Recent advances and applications of deep learning methods in materials science

Physically Informed Machine Learning Prediction of Electronic Density of States