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Machine-Learning of Atomic-Scale Properties Based on Physical Principles

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Machine-Learning of Atomic-Scale Properties Based on Physical Principles

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Chat with Graph Search

Oblivious Sketching of High-Degree Polynomial Kernels

Incompleteness of Atomic Structure Representations

Machine learning the density functional theory potential energy surface for the inorganic halide perovskite CsPbBr3

Machine Learning at the Atomic Scale

Machine Learning at the Atomic Scale

System for planning and/or providing neuromodulation, especially neurostimulation

Atom-density representations for machine learning

Streaming Principal Component Analysis From Incomplete Data

Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements

Peptide-Cation Systems: Conformational Search, Benchmark Evaluation, and Force Field Parameter Adjustment Using Regularized Linear Regression

Oblivious Sketching of High-Degree Polynomial Kernels

Machine Learning at the Atomic Scale

Incompleteness of Atomic Structure Representations

Streaming Principal Component Analysis From Incomplete Data

Peptide-Cation Systems: Conformational Search, Benchmark Evaluation, and Force Field Parameter Adjustment Using Regularized Linear Regression

Machine learning the density functional theory potential energy surface for the inorganic halide perovskite CsPbBr3

Machine Learning at the Atomic Scale

Atom-density representations for machine learning

Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements

System for planning and/or providing neuromodulation, especially neurostimulation