Generative Latent Space Dynamics of Electron Density | Paper Citation Record

Observation 2c9051fd-d3ce-41a3-9db9-8f65c67c4262 · outbound

This paper cites Accuracy of charge densities in electronic structure calculations.

Generative Latent Space Dynamics of Electron Density Accuracy of charge densities in electronic structure calculations

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:20.401552Z

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Observation 7bf7f4b8-d231-4403-b04a-6de9585bf1a3 · outbound

This paper cites Convergence acceleration of iterative sequences.

Generative Latent Space Dynamics of Electron Density Convergence acceleration of iterative sequences

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:19.999084Z

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Observation 7a2d8e7c-dd76-45df-b8b7-36af5b41079c · outbound

This paper cites A class of methods for solving nonlinear simultaneous equations.

Generative Latent Space Dynamics of Electron Density A class of methods for solving nonlinear simultaneous equations

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:19.694084Z

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Observation f0073742-ccb0-4e4f-a768-46ed2229e842 · outbound

This paper cites Accelerating self-consistent field iterations in kohn-sham density functional theory using a low-rank approximation of the dielectric matrix.

Generative Latent Space Dynamics of Electron Density Accelerating self-consistent field iterations in kohn-sham density functional theory using a low-rank approximation of the dielectric matrix

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:19.436041Z

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Observation cd251d88-ba42-437a-8038-48245de1e147 · outbound

This paper cites A recipe for charge density prediction.

Generative Latent Space Dynamics of Electron Density A recipe for charge density prediction

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:19.161971Z

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Observation 47f9285e-4364-43cd-b9fd-27d89599361e · outbound

This paper cites Higher-order equivariant neural networks for charge density prediction in materials.

Generative Latent Space Dynamics of Electron Density Higher-order equivariant neural networks for charge density prediction in materials

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:18.958306Z

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Observation eda97d85-a120-41a4-b75b-853d739c729f · outbound

This paper cites Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids.

Generative Latent Space Dynamics of Electron Density Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:18.715016Z

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Observation 591477a3-2111-4b23-8a15-c8b6e27de0c2 · outbound

This paper cites DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction.

Generative Latent Space Dynamics of Electron Density DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:05.375473Z

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Observation 4c08a690-d5c3-44dd-9a27-373288a5c2bd · outbound

This paper cites Machine learning electron density prediction using weighted smooth overlap of atomic positions.

Generative Latent Space Dynamics of Electron Density Machine learning electron density prediction using weighted smooth overlap of atomic positions

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:18.472836Z

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Observation 2594299d-e21a-4694-a1f0-1ac55f543484 · outbound

This paper cites Image super-resolution inspired electron density prediction.

Generative Latent Space Dynamics of Electron Density Image super-resolution inspired electron density prediction

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:18.273668Z

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Observation 25f9b147-96a5-415e-b271-4f184028d432 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Generative Latent Space Dynamics of Electron Density High- resolution image synthesis with latent diffusion models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:05.569538Z

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Observation 9a9ab148-667e-41c1-8475-c8df446b3454 · outbound

This paper cites Gpaw: An open python package for electronic structure calculations.

Generative Latent Space Dynamics of Electron Density Gpaw: An open python package for electronic structure calculations

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:18.065988Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 50eb98e2-7109-41c1-9ef6-e578566d036f · outbound

This paper cites The atomic simulation environment—a python library for working with atoms.

Generative Latent Space Dynamics of Electron Density The atomic simulation environment—a python library for working with atoms

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:17.809270Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f624ecd0-549a-4a6e-ae4d-90c60f98e8fc · outbound

This paper cites Projector augmented-wave method.

Generative Latent Space Dynamics of Electron Density Projector augmented-wave method

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:17.689822Z

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Observation 73013e73-92df-413b-854b-a7e582e8acae · outbound

This paper cites Real-space grid implementation of the projector augmented wave method.

Generative Latent Space Dynamics of Electron Density Real-space grid implementation of the projector augmented wave method

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:17.532380Z

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Observation 4c0aa2be-1aaf-4e71-9d8a-f1afab1c2e3b · outbound

This paper cites Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position.

Generative Latent Space Dynamics of Electron Density Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:17.320254Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4c579be5-aab2-4630-a8c5-d4f8cde9810c · outbound

This paper cites Gradient-based learning applied to document recognition.

Generative Latent Space Dynamics of Electron Density Gradient-based learning applied to document recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:17.162975Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5318b940-9fd2-437e-9e60-dff5b89000fb · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Generative Latent Space Dynamics of Electron Density Imagenet classification with deep convolutional neural networks

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:06.592810Z

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Observation 181ce248-2192-4b52-81cd-255d2503f2e5 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Generative Latent Space Dynamics of Electron Density Deep Residual Learning for Image Recognition

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:06.690040Z

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Observation 4804ef03-652f-4cb6-bb3c-194348ca4571 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Generative Latent Space Dynamics of Electron Density Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:06.793514Z

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Observation 682a5c3f-008f-4b4c-8dbb-71240fc84b2e · outbound

This paper cites Denoising diffusion probabilistic models.

Generative Latent Space Dynamics of Electron Density Denoising diffusion probabilistic models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:06.920347Z

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Observation 628fd616-c0d2-4dac-843a-651fae66a7ee · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Generative Latent Space Dynamics of Electron Density Generative modeling by estimating gradients of the data distribution

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:07.083644Z

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Observation 75036b3f-a37c-4923-88f3-3e2947bc8c1c · outbound

This paper cites Generalized jensen-shannon divergence loss for learning with noisy labels.

Generative Latent Space Dynamics of Electron Density Generalized jensen-shannon divergence loss for learning with noisy labels

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:16.995587Z

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Observation ff987006-04ea-43c1-af32-30879a6ff2c0 · outbound

This paper cites Efficient space–time reduced order model for linear dynamical systems in python using less than 120 lines of code.

Generative Latent Space Dynamics of Electron Density Efficient space–time reduced order model for linear dynamical systems in python using less than 120 lines of code

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:16.842969Z

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Observation 16f43668-e3f1-47c7-9ffc-376353adc09c · outbound

This paper cites Component-wise reduced order model lattice-type structure design.

Generative Latent Space Dynamics of Electron Density Component-wise reduced order model lattice-type structure design

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:16.683003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e686b4a0-4148-457d-9cfb-2e6076587eda · outbound

This paper cites Gradient-based constrained optimization using a database of linear reduced-order models.

Generative Latent Space Dynamics of Electron Density Gradient-based constrained optimization using a database of linear reduced-order models

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:16.538511Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6d13e75-3ac4-4663-8985-4f643db8ecd0 · outbound

This paper cites Space–time least-squares petrov–galerkin projection for nonlinear model reduction.

Generative Latent Space Dynamics of Electron Density Space–time least-squares petrov–galerkin projection for nonlinear model reduction

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:16.421645Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5a799b84-6f49-4829-89d6-9a5e6faf7358 · outbound

This paper cites Reduced order models for lagrangian hydrodynamics.

Generative Latent Space Dynamics of Electron Density Reduced order models for lagrangian hydrodynamics

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:16.249512Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9c0af5b6-e88c-4a5a-a489-f23b5d858cfd · outbound

This paper cites Space–time reduced order model for large-scale linear dynamical systems with application to boltzmann transport problems.

Generative Latent Space Dynamics of Electron Density Space–time reduced order model for large-scale linear dynamical systems with application to boltzmann transport problems

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:16.082423Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5667111d-15fd-44c2-b3e5-85758e0794b6 · outbound

This paper cites Sns: A solution-based nonlinear subspace method for time-dependent model order reduction.

Generative Latent Space Dynamics of Electron Density Sns: A solution-based nonlinear subspace method for time-dependent model order reduction

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:15.918495Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6fb4ac0e-9846-420e-95e7-7fe0754f9d6d · outbound

This paper cites S-opt: A points selection algorithm for hyper-reduction in reduced order models.

Generative Latent Space Dynamics of Electron Density S-opt: A points selection algorithm for hyper-reduction in reduced order models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:15.775357Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0492de19-5375-4767-bfae-0dfbd3befe0c · outbound

This paper cites Local la- grangian reduced-order modeling for the rayleigh-taylor instability by solution manifold decom- position.

Generative Latent Space Dynamics of Electron Density Local la- grangian reduced-order modeling for the rayleigh-taylor instability by solution manifold decom- position

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:15.589026Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 912ccc7d-8fd1-42ce-9d56-5e5c1b0792a6 · outbound

This paper cites Multidimensional scaling.

Generative Latent Space Dynamics of Electron Density Multidimensional scaling

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:15.429848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2484375b-5ce4-425e-9ba0-699f75303905 · outbound

This paper cites A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder.

Generative Latent Space Dynamics of Electron Density A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:15.289438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71cfea65-bbd9-4f1a-979e-b82ffb6c2c4a · outbound

This paper cites A fast and accurate do- main decomposition nonlinear manifold reduced order model.

Generative Latent Space Dynamics of Electron Density A fast and accurate do- main decomposition nonlinear manifold reduced order model

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:15.154109Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce69f6ba-bdbc-4378-bcbf-8db3f30ab5fd · outbound

This paper cites Lasdi: Parametric latent space dynamics identification.

Generative Latent Space Dynamics of Electron Density Lasdi: Parametric latent space dynamics identification

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:15.056073Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a460c4b1-b464-4b18-84b6-bc5d72a22684 · outbound

This paper cites glasdi: Parametric physics-informed greedy latent space dynamics identification.

Generative Latent Space Dynamics of Electron Density glasdi: Parametric physics-informed greedy latent space dynamics identification

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:14.911037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a0c98e7b-2f0a-49fb-ad53-71c7b9a0b706 · outbound

This paper cites Gplasdi: Gaus- sian process-based interpretable latent space dynamics identification through deep autoencoder.

Generative Latent Space Dynamics of Electron Density Gplasdi: Gaus- sian process-based interpretable latent space dynamics identification through deep autoencoder

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:14.720133Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ceb458e0-55ba-4ac3-9ae6-4e04d6efff6e · outbound

This paper cites Weak-form latent space dynamics identification.

Generative Latent Space Dynamics of Electron Density Weak-form latent space dynamics identification

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:14.530854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e2cfccec-9640-4362-94bb-78d98b1afc6c · outbound

This paper cites tlasdi: Thermodynamics-informed latent space dynamics identification.

Generative Latent Space Dynamics of Electron Density tlasdi: Thermodynamics-informed latent space dynamics identification

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:14.339879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation af796b8d-6c7c-4b54-b15c-3f0d9fa347c9 · outbound

This paper cites Physics-informed active learning with simultaneous weak-form latent space dynamics identification.

Generative Latent Space Dynamics of Electron Density Physics-informed active learning with simultaneous weak-form latent space dynamics identification

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:14.137480Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bd926112-15d8-414b-9e26-f0d4bba84a9a · outbound

This paper cites an unresolved cited work.

Generative Latent Space Dynamics of Electron Density Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-05T14:00:13.983410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3dc85c57-2743-45d1-8de8-6cf0ccc6ac03 · outbound

This paper cites A global geometric framework for nonlinear dimensionality reduction.

Generative Latent Space Dynamics of Electron Density A global geometric framework for nonlinear dimensionality reduction

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:10.141766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9719214-29ff-4450-9cba-b887a638c341 · outbound

This paper cites Manifold learning: What, how, and why.

Generative Latent Space Dynamics of Electron Density Manifold learning: What, how, and why

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:13.832815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d49aa45-3d6f-43ba-8ea0-dfdef94dd9a6 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Generative Latent Space Dynamics of Electron Density Fourier Neural Operator for Parametric Partial Differential Equations

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:10.381883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2574111f-2b36-469d-80cd-1f2213aa1c97 · outbound

This paper cites Factorized Fourier Neural Operators.

Generative Latent Space Dynamics of Electron Density Factorized Fourier Neural Operators

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:10.478711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a029701e-e58e-4510-99d4-5e44baab06ae · outbound

This paper cites DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.

Generative Latent Space Dynamics of Electron Density DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:10.555383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af15249-29d2-4d04-b2a2-3058963c53d5 · outbound

This paper cites DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction.

Generative Latent Space Dynamics of Electron Density DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:10.612033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2bc1676-ec42-446d-a70d-5fa9885c3ebf · outbound

This paper cites Hamiltonian systems and transformation in hilbert space.

Generative Latent Space Dynamics of Electron Density Hamiltonian systems and transformation in hilbert space

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:13.665082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a7f85885-f0bc-4ab2-b13b-a0ed01c68f32 · outbound

This paper cites Score dynamics: Scaling molecular dynamics with picoseconds time steps via conditional diffusion model.

Generative Latent Space Dynamics of Electron Density Score dynamics: Scaling molecular dynamics with picoseconds time steps via conditional diffusion model

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:13.504003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 86d2c484-1598-4752-9441-8ce36c2b2123 · outbound

This paper cites Lost in latent space: An empirical study of latent diffusion models for physics emulation.

Generative Latent Space Dynamics of Electron Density Lost in latent space: An empirical study of latent diffusion models for physics emulation

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:10.884698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9617568b-93c2-4587-be83-1f423d209acf · outbound

This paper cites Neural ordinary differential equations.

Generative Latent Space Dynamics of Electron Density Neural ordinary differential equations

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:10.992284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3100adce-ae28-4db3-9c6f-4b8f1aab3c06 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Generative Latent Space Dynamics of Electron Density Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:11.058150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9b755fa-e4b5-42da-b06c-7080c1b6cded · outbound

This paper cites Scientific machine learning through physics–informed neural networks: Where we are and what’s next.

Generative Latent Space Dynamics of Electron Density Scientific machine learning through physics–informed neural networks: Where we are and what’s next

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:11.109370Z

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Unavailable: canonical work link unavailable.

Observation a5209de9-3abe-41ad-88d6-6a4c65cbdcef · outbound

This paper cites Fourcastnet: Accel- erating global high-resolution weather forecasting using adaptive fourier neural operators.

Generative Latent Space Dynamics of Electron Density Fourcastnet: Accel- erating global high-resolution weather forecasting using adaptive fourier neural operators

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:11.213946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db758d35-eebe-4372-8114-35ce9c0926a3 · outbound

This paper cites A foundation model for atomistic materials chemistry.

Generative Latent Space Dynamics of Electron Density A foundation model for atomistic materials chemistry

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T14:00:11.317474Z

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This paper cites Density-functional theory for time-dependent systems.

Generative Latent Space Dynamics of Electron Density Density-functional theory for time-dependent systems

Reference 57

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Observation 120f71a6-d552-4a5d-8993-8caf90aaf726 · outbound

This paper cites The equation of motion coupled-cluster method.

Generative Latent Space Dynamics of Electron Density The equation of motion coupled-cluster method

Reference 58

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This paper cites Orbital-free density functional theory: An attractive electronic structure method for large-scale first-principles simulations.

Generative Latent Space Dynamics of Electron Density Orbital-free density functional theory: An attractive electronic structure method for large-scale first-principles simulations

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:12.745076Z

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Observation 69970ba1-ba5f-46b3-89fd-b1afa452bab9 · outbound

This paper cites An introduction to orbital-free density functional theory.

Generative Latent Space Dynamics of Electron Density An introduction to orbital-free density functional theory

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:12.562824Z

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Observation 1d168719-0fc0-4689-b3f2-59f0774b93e8 · outbound

This paper cites Time-dependent orbital-free density functional theory: Background and pauli kernel approximations.

Generative Latent Space Dynamics of Electron Density Time-dependent orbital-free density functional theory: Background and pauli kernel approximations

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T14:00:12.383181Z

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Observation ae96ad7c-d16f-430c-89d4-5020dfd1a348 · outbound

This paper cites Defining Foundation Models for Computational Science: A Call for Clarity and Rigor.

Generative Latent Space Dynamics of Electron Density Defining Foundation Models for Computational Science: A Call for Clarity and Rigor

Reference 62

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