Works matching IS 20573960 AND DT 2020 AND VI 6 AND IP 1
Results: 200
Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy.
- Published in:
- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00384-6
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- Article
An improved symmetry-based approach to reciprocal space path selection in band structure calculations.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00383-7
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- Article
Quantifying defects in thin films using machine vision.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00380-w
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Ab initio modeling of the energy landscape for screw dislocations in body-centered cubic high-entropy alloys.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00377-5
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- Article
Random forest machine learning models for interpretable X-ray absorption near-edge structure spectrum-property relationships.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00376-6
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- Article
Understanding important features of deep learning models for segmentation of high-resolution transmission electron microscopy images.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00363-x
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- Article
Defect-mediated Rashba engineering for optimizing electrical transport in thermoelectric BiTeI.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00378-4
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- Article
An artificial intelligence-aided virtual screening recipe for two-dimensional materials discovery.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00375-7
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- Article
A picture of pseudogap phase related to charge fluxes.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00373-9
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- Article
Machine-learned interatomic potentials by active learning: amorphous and liquid hafnium dioxide.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00367-7
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- Article
Cluster-formula-embedded machine learning for design of multicomponent β-Ti alloys with low Young's modulus.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00372-w
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- Article
Using statistical learning to predict interactions between single metal atoms and modified MgO(100) supports.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00371-x
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- Article
Author Correction: Coevolutionary search for optimal materials in the space of all possible compounds.
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- 2020
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- Correction Notice
Efficient electron extraction of SnO2 electron transport layer for lead halide perovskite solar cell.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00370-y
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- Article
Enhancing power factor of SnSe sheet with grain boundary by doping germanium or silicon.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00368-6
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- Article
Flash sintering incubation kinetics.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00359-7
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- Article
Coevolutionary search for optimal materials in the space of all possible compounds.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0322-9
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- Article
A critical examination of compound stability predictions from machine-learned formation energies.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00362-y
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- Article
Exchange-correlation functionals for band gaps of solids: benchmark, reparametrization and machine learning.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00360-0
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- Article
Symmetry-enforced Weyl phonons.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00358-8
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In silico modelling of cancer nanomedicine, across scales and transport barriers.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00366-8
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Theoretical dissection of superconductivity in two-dimensional honeycomb borophene oxide B2O crystal with a high stability.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00365-9
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Ultra-flat twisted superlattices in 2D heterostructures.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00364-w
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- Article
Extracting local nucleation fields in permanent magnets using machine learning.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00361-z
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- Article
Magnetic-gateable valley exciton emission.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00356-w
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- Article
Three-terminal Weyl complex with double surface arcs in a cubic lattice.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00354-y
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- Article
The microscopic origin of DMI in magnetic bilayers and prediction of giant DMI in new bilayers.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00351-1
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- Article
Quantum simulations of materials on near-term quantum computers.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00353-z
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Author Correction: Embedding physics domain knowledge into a Bayesian network enables layer-by-layer process innovation for photovoltaics.
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- 2020
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- Correction Notice
Toward nanoscale molecular mass spectrometry imaging via physically constrained machine learning on co-registered multimodal data.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00357-9
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- Article
Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00352-0
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Pores for thought: generative adversarial networks for stochastic reconstruction of 3D multi-phase electrode microstructures with periodic boundaries.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0340-7
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- Article
Number mismatch between cations and anions as an indicator for low lattice thermal conductivity in chalcogenides.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-00355-x
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- Article
Linking electronic structure calculations to generalized stacking fault energies in multicomponent alloys.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0348-z
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Graph theory approach to determine configurations of multidentate and high coverage adsorbates for heterogeneous catalysis.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0345-2
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- Article
Field-free spin–orbit torque perpendicular magnetization switching in ultrathin nanostructures.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0347-0
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- Article
Oxygen-vacancy induced magnetic phase transitions in multiferroic thin films.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0344-3
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- Article
Giant anomalous Hall and Nernst effect in magnetic cubic Heusler compounds.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0342-5
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- Article
Inverse-designed spinodoid metamaterials.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0341-6
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- Article
Automated crystal structure analysis based on blackbox optimisation.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0330-9
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Neural network learns physical rules for copolymer translocation through amphiphilic barriers.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0318-5
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Learning excited states from ground states by using an artificial neural network.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0336-3
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- Article
Anion order in oxysulfide perovskites: origins and implications.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0338-1
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- Article
Complex strengthening mechanisms in the NbMoTaW multi-principal element alloy.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0339-0
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- Article
Author Correction: Manifold learning of four-dimensional scanning transmission electron microscopy.
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- 2020
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- Correction Notice
Role of atomic-scale thermal fluctuations in the coercivity.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0325-6
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- Article
Automated high-throughput Wannierisation.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0312-y
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- Article
Computational framework for a systematic investigation of anionic redox process in Li-rich compounds.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0335-4
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Author Correction: Vulnerable window of yield strength for swelling-driven fracture of phase-transforming battery materials.
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- 2020
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- Correction Notice
High-throughput density functional perturbation theory and machine learning predictions of infrared, piezoelectric, and dielectric responses.
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- NPJ Computational Materials, 2020, v. 6, n. 1, p. 1, doi. 10.1038/s41524-020-0337-2
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- Article