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Paper Citation Record · LEDGER

Machine learning enhanced atom probe tomography analysis: a snapshot review

As of 21 August 2026, this Paper Citation Record lists 100 of 164 outbound references and 0 inbound Pith citation observations for arXiv:2504.14378.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2504.14378 v1

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measured 100 of 164 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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100 of 164 outbound references displayed

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Outbound references

Observation b08ce5d8-e1eb-496e-9637-b4bce759e421 · outbound

This paper cites Atomically resolved tomography to directly inform simulations for structure –property relationships.

Machine learning enhanced atom probe tomography analysis: a snapshot review Atomically resolved tomography to directly inform simulations for structure –property relationships

Reference 1

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Observation d7dc8b14-25b9-46cf-ac87-267ef8833cc4 · outbound

This paper cites Atom probe microscopy: Springer; 2012.

Machine learning enhanced atom probe tomography analysis: a snapshot review Atom probe microscopy: Springer; 2012

Reference 2

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Observation 17923ebf-e615-4f3b-b893-7400d4f4cc24 · outbound

This paper cites Atom probe tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Atom probe tomography

Reference 3

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Observation 55ca6165-a23d-41fd-b245-9f080028e931 · outbound

This paper cites Processing APT Spectral Backgrounds for Improved Quantification.

Machine learning enhanced atom probe tomography analysis: a snapshot review Processing APT Spectral Backgrounds for Improved Quantification

Reference 4

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Observation 18b44e77-6d00-4344-b339-cc1d83416dcc · outbound

This paper cites Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face -centred cubic alloys.

Machine learning enhanced atom probe tomography analysis: a snapshot review Convolutional neural network-assisted recognition of nanoscale L12 ordered structures in face -centred cubic alloys

Reference 5

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Observation 26781746-062e-4489-9631-5b16315dbacf · outbound

This paper cites Reflections on the spatial performance of atom probe tomography in the analysis of atomic neighbourhoods.

Machine learning enhanced atom probe tomography analysis: a snapshot review Reflections on the spatial performance of atom probe tomography in the analysis of atomic neighbourhoods

Reference 6

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Observation 7a705154-4ee5-4c08-a3ab-850f293bd977 · outbound

This paper cites Large -Scale Atom Probe Tomography Data Mining: Methods and Application to Inform Hydrogen Behavior.

Machine learning enhanced atom probe tomography analysis: a snapshot review Large -Scale Atom Probe Tomography Data Mining: Methods and Application to Inform Hydrogen Behavior

Reference 7

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Observation 1196becd-5339-405a-8d3d-0ad6d5518870 · outbound

This paper cites Nanoscale mic rostructural analysis of metallic materials by atom probe field ion microscopy.

Machine learning enhanced atom probe tomography analysis: a snapshot review Nanoscale mic rostructural analysis of metallic materials by atom probe field ion microscopy

Reference 8

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Observation f729330f-7c1a-4bfb-9f52-5c61d3e07dde · outbound

This paper cites Investigations of field evaporation with a field -desorption microscope.

Machine learning enhanced atom probe tomography analysis: a snapshot review Investigations of field evaporation with a field -desorption microscope

Reference 9

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Observation 07638ff2-f4ae-4c47-a2bc-c7f58de4df24 · outbound

This paper cites Design of a femtosecond laser assisted tomographic atom probe.

Machine learning enhanced atom probe tomography analysis: a snapshot review Design of a femtosecond laser assisted tomographic atom probe

Reference 10

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Observation f2a8b1e9-3911-4066-b2f8-4e8f0a47916e · outbound

This paper cites Wide-Field-of-View Atom Probe Reconstruction.

Machine learning enhanced atom probe tomography analysis: a snapshot review Wide-Field-of-View Atom Probe Reconstruction

Reference 11

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Observation 92d04cf1-cb39-481f-9dbd-436e56802aa7 · outbound

This paper cites Reflections on the Projection of Ions in Atom Probe Tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Reflections on the Projection of Ions in Atom Probe Tomography

Reference 12

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Observation 1276fc59-d6c2-43cd-8e83-2cb608e22856 · outbound

This paper cites Atom probe tomography: p ut theory into practice: Academic Press; 2016.

Machine learning enhanced atom probe tomography analysis: a snapshot review Atom probe tomography: p ut theory into practice: Academic Press; 2016

Reference 13

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Observation 12f8b5b3-1f5f-4d7d-a03e-78a186dba77e · outbound

This paper cites Three -dimensional nanoscale characterisation of materials by atom probe tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Three -dimensional nanoscale characterisation of materials by atom probe tomography

Reference 14

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Observation b407c560-ffbe-4a14-901a-3a50abcb042f · outbound

This paper cites The local electrode atom probe: Springer; 2014.

Machine learning enhanced atom probe tomography analysis: a snapshot review The local electrode atom probe: Springer; 2014

Reference 15

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Observation d9bfcdcf-04e2-4899-a3f2-e891cf9fd239 · outbound

This paper cites Atom probe tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Atom probe tomography

Reference 16

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Observation 5968ae30-4513-4272-8a81-ab95a8f1eef7 · outbound

This paper cites A brief overview of atom probe tomography research.

Machine learning enhanced atom probe tomography analysis: a snapshot review A brief overview of atom probe tomography research

Reference 17

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Observation f4c1e1d1-76a7-434b-8626-2c361d23e9d2 · outbound

This paper cites Roadmap on data-centric materials science.

Machine learning enhanced atom probe tomography analysis: a snapshot review Roadmap on data-centric materials science

Reference 18

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Observation d97451fb-eec3-47c5-b0ff-f09b028e662b · outbound

This paper cites Machine-learning- enhanced time-of-flight mass spectrometry analysis.

Machine learning enhanced atom probe tomography analysis: a snapshot review Machine-learning- enhanced time-of-flight mass spectrometry analysis

Reference 19

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Observation 375d8d9f-a200-4273-a574-96208d2fbac7 · outbound

This paper cites Atom probe tomography analysis of the reference zircon gj -1: An interlaboratory study.

Machine learning enhanced atom probe tomography analysis: a snapshot review Atom probe tomography analysis of the reference zircon gj -1: An interlaboratory study

Reference 20

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Observation 9bb20611-676f-4df7-8c18-3182f2c1f476 · outbound

This paper cites Promoting Standards in Quantitative Atom Probe Tomography Analysis.

Machine learning enhanced atom probe tomography analysis: a snapshot review Promoting Standards in Quantitative Atom Probe Tomography Analysis

Reference 21

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Observation f81034e0-396c-482e-89af-c6a0d84190a0 · outbound

This paper cites Atom probe crystallography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Atom probe crystallography

Reference 22

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Observation 323404eb-bd3a-4440-888b-51c6d30b8e25 · outbound

This paper cites Structural analyses in three ‐dimensional atom probe: a Fourier transform approach.

Machine learning enhanced atom probe tomography analysis: a snapshot review Structural analyses in three ‐dimensional atom probe: a Fourier transform approach

Reference 23

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Observation d5d3254d-5183-4216-aa0b-8e38d02da5fc · outbound

This paper cites Crystallographic structural analysis in atom probe microscopy via 3D Hough transformation.

Machine learning enhanced atom probe tomography analysis: a snapshot review Crystallographic structural analysis in atom probe microscopy via 3D Hough transformation

Reference 24

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Observation 266b1271-df04-4fd9-b634-39220d5526b7 · outbound

This paper cites A new systematic framework for crystallographic analysis of atom probe data.

Machine learning enhanced atom probe tomography analysis: a snapshot review A new systematic framework for crystallographic analysis of atom probe data

Reference 25

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Observation 790a5b0a-0877-48ea-b4eb-156d98e91866 · outbound

This paper cites Influence of field evaporation on Radial Distribution Functions in Atom Probe Tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Influence of field evaporation on Radial Distribution Functions in Atom Probe Tomography

Reference 26

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Observation 284ed974-5288-4cad-987b-16822dc3e6a6 · outbound

This paper cites Spatial Distribution M aps for Atom Probe Tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Spatial Distribution M aps for Atom Probe Tomography

Reference 27

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Observation 33f68eff-a11f-431f-b097-f1ae6fd5d86d · outbound

This paper cites Qualification of the tomographic reconstruction in atom probe by advanced spatial distribution map techniques.

Machine learning enhanced atom probe tomography analysis: a snapshot review Qualification of the tomographic reconstruction in atom probe by advanced spatial distribution map techniques

Reference 28

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Observation 5c3199b4-caec-4c69-8fe5-f90f3e730822 · outbound

This paper cites Advances in the calibration of atom probe tomographic reconstruction.

Machine learning enhanced atom probe tomography analysis: a snapshot review Advances in the calibration of atom probe tomographic reconstruction

Reference 29

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Observation 92a8edd5-b4bd-4520-bac7-bb142e8c8069 · outbound

This paper cites Estimation of the Reconstruction Parameters for Atom Probe Tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Estimation of the Reconstruction Parameters for Atom Probe Tomography

Reference 30

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Observation e62986b2-8b5a-450e-83b3-1b7940682e08 · outbound

This paper cites Chromium- based bcc-superalloys strengthened by iron supplements.

Machine learning enhanced atom probe tomography analysis: a snapshot review Chromium- based bcc-superalloys strengthened by iron supplements

Reference 31

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Observation 05e5b325-1a0f-4905-8473-f1ce2a2151e9 · outbound

This paper cites Atom probe microscopy investigation of Mg site occupancy within δ′ precipitates in an Al –Mg–Li alloy.

Machine learning enhanced atom probe tomography analysis: a snapshot review Atom probe microscopy investigation of Mg site occupancy within δ′ precipitates in an Al –Mg–Li alloy

Reference 32

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This paper cites Ageing response and strengthening mechanisms in a new Al-Mn-Ni-Cu-Zr alloy designed for laser powder bed fusion.

Machine learning enhanced atom probe tomography analysis: a snapshot review Ageing response and strengthening mechanisms in a new Al-Mn-Ni-Cu-Zr alloy designed for laser powder bed fusion

Reference 33

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Observation 5245b0ed-d5ad-4897-926e-fec43625df4f · outbound

This paper cites Segregation of solute elements at grain boundaries in an ultrafine grained Al–Zn–Mg–Cu alloy.

Machine learning enhanced atom probe tomography analysis: a snapshot review Segregation of solute elements at grain boundaries in an ultrafine grained Al–Zn–Mg–Cu alloy

Reference 34

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Observation c8342949-0f1b-4d07-8b60-3a67423cfc6f · outbound

This paper cites Clustering and nearest neighbour distances in atom -probe tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Clustering and nearest neighbour distances in atom -probe tomography

Reference 35

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Observation ff71bd3e-5a3a-4a77-9f94-f40d3fd6a5ad · outbound

This paper cites Clustering in Age-Hardenable Aluminum Alloys.

Machine learning enhanced atom probe tomography analysis: a snapshot review Clustering in Age-Hardenable Aluminum Alloys

Reference 36

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This paper cites Applications of atom -probe tomography to the characterisation of solute behaviours.

Machine learning enhanced atom probe tomography analysis: a snapshot review Applications of atom -probe tomography to the characterisation of solute behaviours

Reference 37

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Observation 5e16d8ee-83f1-4545-854f-61dfb5595146 · outbound

This paper cites Direct observations of nucleation in a nondilute multicomponent alloy.

Machine learning enhanced atom probe tomography analysis: a snapshot review Direct observations of nucleation in a nondilute multicomponent alloy

Reference 38

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Observation 796456e2-721e-46ad-a204-4e616c18ff1f · outbound

This paper cites Parameter free quantitative analysis of atom probe data by correlation functions: Application to the precipitation in Al-Zn-Mg-Cu.

Machine learning enhanced atom probe tomography analysis: a snapshot review Parameter free quantitative analysis of atom probe data by correlation functions: Application to the precipitation in Al-Zn-Mg-Cu

Reference 39

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Observation 66553712-7249-4b34-8f3c-773d3cc36b58 · outbound

This paper cites Direct comparison of Fe -Cr unmixing characterization by atom probe tomography and small angle scattering.

Machine learning enhanced atom probe tomography analysis: a snapshot review Direct comparison of Fe -Cr unmixing characterization by atom probe tomography and small angle scattering

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Observation 3113287e-6597-4382-8bec-2e1a8da0c133 · outbound

This paper cites Analysis of three - dimensional atom-probe data by the proximity histogram.

Machine learning enhanced atom probe tomography analysis: a snapshot review Analysis of three - dimensional atom-probe data by the proximity histogram

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Observation a6b02fb3-e8f8-4628-860d-e3584a7c2cac · outbound

This paper cites Quantitative atom probe analysis of nanostructure containing clusters and precipitates with multiple length scales.

Machine learning enhanced atom probe tomography analysis: a snapshot review Quantitative atom probe analysis of nanostructure containing clusters and precipitates with multiple length scales

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Observation 64aab09a-0dc5-4ab2-8668-51538a11e14c · outbound

This paper cites Nearest neighbour diagnostic statistics on the accuracy of APT solute cluster characterisation.

Machine learning enhanced atom probe tomography analysis: a snapshot review Nearest neighbour diagnostic statistics on the accuracy of APT solute cluster characterisation

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Observation f85259a6-b7e9-4845-834c-3c7fd28650ab · outbound

This paper cites A procedure to create isoconcentration surfaces in low-chemical-partitioning, high-solute alloys.

Machine learning enhanced atom probe tomography analysis: a snapshot review A procedure to create isoconcentration surfaces in low-chemical-partitioning, high-solute alloys

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Observation c8c2021d-cb1b-4087-9f3c-fc1120470450 · outbound

This paper cites The spatial resolution of 3D atom probe in the investigation of single-phase materials.

Machine learning enhanced atom probe tomography analysis: a snapshot review The spatial resolution of 3D atom probe in the investigation of single-phase materials

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Observation 41e1cea5-1af4-4f90-b754-8eb7e3595bf2 · outbound

This paper cites Atom probe tomography investigation of heterogeneous short-range ordering in the ‘komplex’ phase state (K- state) of Fe–18Al (at.%).

Machine learning enhanced atom probe tomography analysis: a snapshot review Atom probe tomography investigation of heterogeneous short-range ordering in the ‘komplex’ phase state (K- state) of Fe–18Al (at.%)

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Observation 304694bf-68ca-4f38-9056-c47ffc6c6436 · outbound

This paper cites Atom Probe Tomography Interlaboratory Study on Clusterin g Analysis in Experimental Data Using the Maximum Separation Distance Approach.

Machine learning enhanced atom probe tomography analysis: a snapshot review Atom Probe Tomography Interlaboratory Study on Clusterin g Analysis in Experimental Data Using the Maximum Separation Distance Approach

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Observation bec4e603-6937-4099-8ab9-41f48fc85b95 · outbound

This paper cites Guided mass spectrum labelling in atom probe tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Guided mass spectrum labelling in atom probe tomography

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Observation d89802d9-b862-4fcc-bf9b-a48f033981cd · outbound

This paper cites Deep learning for 3d point clouds: A survey.

Machine learning enhanced atom probe tomography analysis: a snapshot review Deep learning for 3d point clouds: A survey

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Observation 0b6681fc-f55a-4fbe-a147-da336ccb468a · outbound

This paper cites Machine learning: Trends, perspectives, and prospects.

Machine learning enhanced atom probe tomography analysis: a snapshot review Machine learning: Trends, perspectives, and prospects

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Observation 14aebc92-75af-4c28-925d-c1e5a9346a4b · outbound

This paper cites Supervised Machine Learning Algorithm: A Review of Classification Techniques.

Machine learning enhanced atom probe tomography analysis: a snapshot review Supervised Machine Learning Algorithm: A Review of Classification Techniques

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Observation 443f43ba-b373-439c-8eb3-dd2585e37ca9 · outbound

This paper cites Top 10 algorithms in data mining.

Machine learning enhanced atom probe tomography analysis: a snapshot review Top 10 algorithms in data mining

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Observation 912a002c-d489-4714-a28d-a599c8a46888 · outbound

This paper cites Explaining explanations: An overview of interpretability of machine learning.

Machine learning enhanced atom probe tomography analysis: a snapshot review Explaining explanations: An overview of interpretability of machine learning

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Observation 892072c3-2e85-4553-b369-1ee90ec26cbf · outbound

This paper cites LightGBM: a highly efficient gradient boosting decision tree.

Machine learning enhanced atom probe tomography analysis: a snapshot review LightGBM: a highly efficient gradient boosting decision tree

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Observation fc3c53ee-880d-46f9-91f4-906a6d34e732 · outbound

This paper cites Learning representations by back-propagating errors.

Machine learning enhanced atom probe tomography analysis: a snapshot review Learning representations by back-propagating errors

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Observation 0c0a8e01-b7ac-4c4c-8237-8cbed189d58c · outbound

This paper cites Approximation capabilities of multilayer feedforward networks.

Machine learning enhanced atom probe tomography analysis: a snapshot review Approximation capabilities of multilayer feedforward networks

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Observation 00959397-5f41-494a-a663-f1188de934eb · outbound

This paper cites Unsupervised learning: foundations of neural computation: MIT press; 1999.

Machine learning enhanced atom probe tomography analysis: a snapshot review Unsupervised learning: foundations of neural computation: MIT press; 1999

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Observation e2b1c7bd-6359-4dc7-9420-83aea8deb211 · outbound

This paper cites A review of clustering techniques and developments.

Machine learning enhanced atom probe tomography analysis: a snapshot review A review of clustering techniques and developments

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Observation 56c7bb7e-627d-499c-8675-78c68f2241cb · outbound

This paper cites Applied dynamic programming: Princeton university press; 2015.

Machine learning enhanced atom probe tomography analysis: a snapshot review Applied dynamic programming: Princeton university press; 2015

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Observation 1a8c282d-d6eb-49c1-a943-38a82b5fe1a5 · outbound

This paper cites Dimensionality reduction: A comparative review.

Machine learning enhanced atom probe tomography analysis: a snapshot review Dimensionality reduction: A comparative review

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Observation 7454e940-eb35-4cd4-8d85-43ef8d81d9ff · outbound

This paper cites Machine learning assisted crystallographic reconstruction from atom probe tomographic images.

Machine learning enhanced atom probe tomography analysis: a snapshot review Machine learning assisted crystallographic reconstruction from atom probe tomographic images

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Observation 38aff38e-7b43-4a3a-a0cd-df6693a5b71d · outbound

This paper cites Pointnet: Deep learning on point sets for 3d classification and segmentation.

Machine learning enhanced atom probe tomography analysis: a snapshot review Pointnet: Deep learning on point sets for 3d classification and segmentation

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Observation c38c8e31-308d-4c25-af22-92286914c154 · outbound

This paper cites Harris 3D: a robust extension of the Harris operator for interest point detection on 3D meshes.

Machine learning enhanced atom probe tomography analysis: a snapshot review Harris 3D: a robust extension of the Harris operator for interest point detection on 3D meshes

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Observation b0cff136-8362-41fa-8eae-4d3d776af817 · outbound

This paper cites A pulsed mass spectrometer with time dispersion.

Machine learning enhanced atom probe tomography analysis: a snapshot review A pulsed mass spectrometer with time dispersion

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Observation 0048acf5-192c-444d-a008-9d6e660e681a · outbound

This paper cites Colloquium: 100 years of mass spectrometry: Perspectives and future trends.

Machine learning enhanced atom probe tomography analysis: a snapshot review Colloquium: 100 years of mass spectrometry: Perspectives and future trends

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Observation 5f650aca-1bf5-487a-a2b3-ecfacfaf2e9b · outbound

This paper cites Proton transfer reaction mass spectrometry and the unambiguous real-time detection of 2, 4, 6 trinitrotoluene.

Machine learning enhanced atom probe tomography analysis: a snapshot review Proton transfer reaction mass spectrometry and the unambiguous real-time detection of 2, 4, 6 trinitrotoluene

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Observation 98b6bb37-fc32-4531-b056-571241abcd5f · outbound

This paper cites diradical.

Machine learning enhanced atom probe tomography analysis: a snapshot review diradical

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Observation 5acf89cc-83aa-4225-9023-1b29d84b5a0b · outbound

This paper cites Strain- induced asymmetric line segregation at faceted S i grain boundaries.

Machine learning enhanced atom probe tomography analysis: a snapshot review Strain- induced asymmetric line segregation at faceted S i grain boundaries

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Observation 6e6f4a39-eb54-4139-89af-f8a15f056d94 · outbound

This paper cites Principal component analysis of TOF-SIMS images of organic monolayers.

Machine learning enhanced atom probe tomography analysis: a snapshot review Principal component analysis of TOF-SIMS images of organic monolayers

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Observation 4c6b1dbc-856f-453e-a8c2-8dd9630642fa · outbound

This paper cites Spatial and spectral correlations in MALDI mass spectrometry images by clustering and multivariate analysis.

Machine learning enhanced atom probe tomography analysis: a snapshot review Spatial and spectral correlations in MALDI mass spectrometry images by clustering and multivariate analysis

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source=pdf_text observed=2026-08-16T11:52:31.722990Z digest=sha256:97e25fde5d757eb85e26bf16d4635a9c9b0cf957764deff82501f7657bac7b72

Observation 003ebdbc-db03-482b-93c8-3ed3c06544ae · outbound

This paper cites An unsupervised MVA method to compare specific regions in human breast tumor tissue samples using ToF-SIMS.

Machine learning enhanced atom probe tomography analysis: a snapshot review An unsupervised MVA method to compare specific regions in human breast tumor tissue samples using ToF-SIMS

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Observation 41762b92-d8c6-4f3f-a69a-3689dce5fde7 · outbound

This paper cites Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry.

Machine learning enhanced atom probe tomography analysis: a snapshot review Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry

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Observation d503f19d-78b2-4d23-914e-a6b9e9c7fe77 · outbound

This paper cites Enhancing element identification by expectation–maximization method in atom probe tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Enhancing element identification by expectation–maximization method in atom probe tomography

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source=pdf_text observed=2026-08-16T11:52:31.736340Z digest=sha256:c91e66a015c7decaf2e2f108d1cad5d9099286b7c2eeddc66f6d59b9da2f0fb4

Observation 5c51ff8b-a66d-40fd-becb-919ba589cda9 · outbound

This paper cites Bayesian approach to automatic mass -spectrum peak identification in atom probe tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Bayesian approach to automatic mass -spectrum peak identification in atom probe tomography

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Observation d45f6e40-1c30-44de-875d-339f2c2fe46a · outbound

This paper cites Investigations of field evaporation wit h a field - desorption microscope.

Machine learning enhanced atom probe tomography analysis: a snapshot review Investigations of field evaporation wit h a field - desorption microscope

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Observation ea82e258-1a36-44f9-a7fd-10dce2eb07b2 · outbound

This paper cites Modeling Atom Probe Tomography: A review.

Machine learning enhanced atom probe tomography analysis: a snapshot review Modeling Atom Probe Tomography: A review

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Observation 1277c89e-e71f-4ae1-9f10-c7816170711c · outbound

This paper cites A full -scale simulation approach for atom probe tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review A full -scale simulation approach for atom probe tomography

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Observation 11ceafd5-1714-4b07-981c-ed04dd0f124e · outbound

This paper cites Revealing latent pole and zone line information in atom probe detector maps using crystallographically correlated metrics.

Machine learning enhanced atom probe tomography analysis: a snapshot review Revealing latent pole and zone line information in atom probe detector maps using crystallographically correlated metrics

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Observation c5bafecb-e9ab-4055-8c3c-661e4cea369f · outbound

This paper cites Automatic analysis of electron backscatter diffraction patterns.

Machine learning enhanced atom probe tomography analysis: a snapshot review Automatic analysis of electron backscatter diffraction patterns

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Observation 52f01347-2e19-42fc-8936-9771110d5381 · outbound

This paper cites Orientation imaging: The emergence of a new microscopy.

Machine learning enhanced atom probe tomography analysis: a snapshot review Orientation imaging: The emergence of a new microscopy

Reference 80

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no resolver link, observed 2026-08-16T11:52:31.767668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:52:31.767668Z digest=sha256:33b089959d57ff4357f10cfbe0a78210527938de16a2c2eeb5af6fc331d563ee

Observation 25c2fcbf-7caa-4b63-931a-56a19db003e7 · outbound

This paper cites Machine -learning-based atom probe crystallographic analysis.

Machine learning enhanced atom probe tomography analysis: a snapshot review Machine -learning-based atom probe crystallographic analysis

Reference 81

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no resolver link, observed 2026-08-16T11:52:31.772101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:52:31.772101Z digest=sha256:3870212a4300461a74cdcdedf7318d2c4a6a2b642fcab47446e39066e03afc0a

Observation 8cf2234a-b25c-4885-b03e-cf87b5e56b35 · outbound

This paper cites Quantitative three -dimensional imaging of chemical sho rt-range order via machine learning enhanced atom probe tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Quantitative three -dimensional imaging of chemical sho rt-range order via machine learning enhanced atom probe tomography

Reference 82

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no resolver link, observed 2026-08-16T11:52:31.776610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:52:31.776610Z digest=sha256:0de9d08742680b5f64bf6ae879e9e19060073cb677131868bbcab3eab2824b29

Observation c24bbb7d-b782-4c43-b30c-8a529df0f932 · outbound

This paper cites Short -range ordering and its effects on mechanical properties of high-entropy alloys.

Machine learning enhanced atom probe tomography analysis: a snapshot review Short -range ordering and its effects on mechanical properties of high-entropy alloys

Reference 83

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no resolver link, observed 2026-08-16T11:52:31.781230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:52:31.781230Z digest=sha256:63605ec46271a80b2a85c026b337656e7e54a1429f84ede1c253dd4db6b58a9d

Observation aa2cbe9e-546f-4549-80e8-93bf52595ec0 · outbound

This paper cites Chemical medium -range order in a medium-entropy alloy.

Machine learning enhanced atom probe tomography analysis: a snapshot review Chemical medium -range order in a medium-entropy alloy

Reference 84

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no resolver link, observed 2026-08-16T11:52:31.785555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:52:31.785555Z digest=sha256:b4712c93ee3bad924cc87e59f4dcd1ae955a3c5ebafe7fc08893afa7e98ae8e6

Observation 3a4d4faa-076c-4da5-a1b6-7ec439acc53d · outbound

This paper cites Short-range order and its impact on the CrCoNi medium-entropy alloy.

Machine learning enhanced atom probe tomography analysis: a snapshot review Short-range order and its impact on the CrCoNi medium-entropy alloy

Reference 85

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verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.442240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.789972Z digest=sha256:250afb681ad87ea177f4bf3371f8bccb4efba4720591b95b44129615795bcab5

Observation 7c575ea3-f236-45b8-ad83-a847a51e0375 · outbound

This paper cites The formation of ordered clusters in Ti–7Al and Ti–6Al–4V.

Machine learning enhanced atom probe tomography analysis: a snapshot review The formation of ordered clusters in Ti–7Al and Ti–6Al–4V

Reference 86

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verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.423761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.794336Z digest=sha256:fd2924cd3e071c2a557bcf73f439fc3a6ea979508b2997c48b40db16012b4cdb

Observation b9ea77a3-4c6f-48f1-bc1f-cc37f6e52619 · outbound

This paper cites Direct imaging of short - range order and its impact on deformation in Ti-6Al.

Machine learning enhanced atom probe tomography analysis: a snapshot review Direct imaging of short - range order and its impact on deformation in Ti-6Al

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.405076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.799245Z digest=sha256:4dd717c775f99ac94940797f3fb3e0b0bced5d2fad11a1b8457a6080f1d12a8c

Observation 6902c953-7bd4-4627-92da-2643f4f7ee1a · outbound

This paper cites Insights into microstructural interfaces in aerospace alloys characterised b y atom probe tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Insights into microstructural interfaces in aerospace alloys characterised b y atom probe tomography

Reference 88

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verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.387605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.803638Z digest=sha256:8758d345c898af754172773f6c6260a621767beb7a8e63baec991593ad38e3dc

Observation df961066-3ff9-4e19-a914-6b3e0816493f · outbound

This paper cites A procedure for quantification of precipitate microstructures from three-dimensional atom probe data.

Machine learning enhanced atom probe tomography analysis: a snapshot review A procedure for quantification of precipitate microstructures from three-dimensional atom probe data

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.369432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.808054Z digest=sha256:75418a3178ac7b021834b4c60fcec51281fac5b49d26eec38beba5177892feb9

Observation 82c5d506-12e1-40e5-a51e-efa7ab24aabb · outbound

This paper cites New Techniques for the Analysis of Fine-Scaled Clustering Phenomena within Atom Probe Tomography (APT) Data.

Machine learning enhanced atom probe tomography analysis: a snapshot review New Techniques for the Analysis of Fine-Scaled Clustering Phenomena within Atom Probe Tomography (APT) Data

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.351289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.812735Z digest=sha256:9210259ca4be76f45f04b9e50a65202b0133a0f9ea17cb5609dee39244f2da62

Observation b90f75d2-61a9-4e9f-963d-f5e61555313a · outbound

This paper cites Hierarchical density -based cluster analysis frame work for atom probe tomography data.

Machine learning enhanced atom probe tomography analysis: a snapshot review Hierarchical density -based cluster analysis frame work for atom probe tomography data

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.334853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.817545Z digest=sha256:d2e7ed2a00abc0f192b1e53c40da44733c8a69b3a14814241c8b548c8901b9c8

Observation 8d897593-1d7a-47b0-af6a-303e73e9e386 · outbound

This paper cites The Application of the OPTICS Algorithm to Cluster Analysis in Atom Probe Tomography Data.

Machine learning enhanced atom probe tomography analysis: a snapshot review The Application of the OPTICS Algorithm to Cluster Analysis in Atom Probe Tomography Data

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.318546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.822117Z digest=sha256:9b60d3b9a3f663a8c5c0aabc081517be8b03e3d22185e0d2dbd67e8b085eca11

Observation 9a3ef29a-33f4-4c01-af46-43743baf89dd · outbound

This paper cites Detecting Clusters in Atom Probe Data with Gaussian Mixture Models.

Machine learning enhanced atom probe tomography analysis: a snapshot review Detecting Clusters in Atom Probe Data with Gaussian Mixture Models

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.301892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.826900Z digest=sha256:38aa3dfbfccadc613c8974c6d5c838947b025261971989bcf2289a3418e847bf

Observation 7f8d56aa-aeb2-4369-bb69-5456644e9984 · outbound

This paper cites Structural analyses in three -dimensional atom probe: a Fourier transform approach.

Machine learning enhanced atom probe tomography analysis: a snapshot review Structural analyses in three -dimensional atom probe: a Fourier transform approach

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.286275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.831170Z digest=sha256:5d23102a98b53d8e2d51e44d90409fbe050fb0f93d0cba5329bdde61bb240266

Observation 23478e79-6ad3-4b74-974f-91cc15877f3d · outbound

This paper cites Quantitative chemical - structure evaluation using atom probe tomography: Short -range order analysis of Fe –Al.

Machine learning enhanced atom probe tomography analysis: a snapshot review Quantitative chemical - structure evaluation using atom probe tomography: Short -range order analysis of Fe –Al

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.271661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.836064Z digest=sha256:c43152d9b661beb9fcc1c92aa30b651e148bf98955f9c93b8245a8188ef6dc6c

Observation 9340f17f-8611-455c-8edb-332568b6e7c9 · outbound

This paper cites Quantifying short -range order using atom probe tomography.

Machine learning enhanced atom probe tomography analysis: a snapshot review Quantifying short -range order using atom probe tomography

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.256864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.840461Z digest=sha256:e80571fb75a810b040560dd1844850b75cf7586d9e9fa2f6f94b1f7a51f1d4fa

Observation f8dacf84-49ea-46f1-adef-d0bd31693e66 · outbound

This paper cites Short -range order in multicomponent materials.

Machine learning enhanced atom probe tomography analysis: a snapshot review Short -range order in multicomponent materials

Reference 97

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verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.240968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.844800Z digest=sha256:6dd243e879ccb1b3a0ce611743313987c1728b26f8b1343b4c5ca793b6817044

Observation 1bd302c7-fdd9-4a6f-ba0f-540b4c331429 · outbound

This paper cites Unraveling the origin of local chemical ordering in Fe-based solid-solutions.

Machine learning enhanced atom probe tomography analysis: a snapshot review Unraveling the origin of local chemical ordering in Fe-based solid-solutions

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.226238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.849302Z digest=sha256:b387b270f27677bb1756f5932df7060271532f47619ddf58e9d9f1cc25925f19

Observation 316c65ea-2d3d-4981-821a-aeb397b20445 · outbound

This paper cites Machine Learning -Enabled Tomographic Imaging of Chemical Short-Range Atomic Ordering.

Machine learning enhanced atom probe tomography analysis: a snapshot review Machine Learning -Enabled Tomographic Imaging of Chemical Short-Range Atomic Ordering

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.211497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.854175Z digest=sha256:f2f79771b435f604d12d404cfab4e19dc64980bbeb32a79c8735e58812798da5

Observation c5bf2283-c56e-4cef-b84a-4d09e2d89ac6 · outbound

This paper cites Direct recognition of crystal structures via three-dimensional convolutional neural networks with high accuracy and tolerance to random displacements and missing atoms.

Machine learning enhanced atom probe tomography analysis: a snapshot review Direct recognition of crystal structures via three-dimensional convolutional neural networks with high accuracy and tolerance to random displacements and missing atoms

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T11:52:33.196901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-16T11:52:31.859470Z digest=sha256:f21b4d6ad113aaeb21afd740aaeb493517894a311b6457a5a09d6be80cd9f038

Pith citing papers

No inbound Pith citation observations are available.