Literature Search

Machine learning orbital-free density functional theory: taming quantum shell effects in deformed nuclei

#1

(Dec 30, 2024)

e-Print:
- 2412.20739 [nucl-th]

pdf

reference search0 citations

Machine Learning Enabled Large-scale Modeling of Functional Electron Materials

#2

Sheng Zhang
(
- Virginia U.
)

(Dec 2, 2024)

DOI

reference search0 citations

Learning Density Functionals from Noisy Quantum Data

#3

Emiel Koridon
(
- U. Leiden (main) and
- Amsterdam U.
)
,
Felix Frohnert
(
- U. Leiden (main)
)
,
Eric Prehn
(
- U. Leiden (main)
)
,
Evert van Nieuwenburg
(
- U. Leiden (main)
)
,
Jordi Tura
(
- U. Leiden (main)
)

et al.

(Sep 4, 2024)

e-Print:
- 2409.02921 [quant-ph]

pdf

reference search0 citations

Neural-network-supported basis optimizer for the configuration interaction problem in quantum many-body clusters: Feasibility study and numerical proof

#4

et al.

(May 31, 2024)

Published in:
- Phys.Rev.B 111 (2025) 3, 035124
•
e-Print:
- 2406.00151 [cond-mat.str-el]

pdfDOI

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Physics-Inspired Evolutionary Machine Learning Method: From the Schrödinger Equation to an Orbital-Free-DFT Kinetic Energy Functional

#5

(May 28, 2024)

Published in:
- J.Phys.Chem.A 128 (2024) 40, 8787-8794
•
e-Print:
- 2405.18417 [physics.chem-ph]

pdfDOI

reference search0 citations

Solving deep-learning density functional theory via variational autoencoders

#6

(Mar 14, 2024)

Published in:
- Mach.Learn.Sci.Tech. 5 (2024) 3, 035015
•
e-Print:
- 2403.09788 [physics.comp-ph]

DOI

reference search0 citations

Challenges and opportunities in the supervised learning of quantum circuit outputs

#7

(Feb 7, 2024)

e-Print:
- 2402.04992 [cond-mat.dis-nn]

pdf

reference search1 citation

Global sampling of Feynman's diagrams through normalizing flow

#8

(Feb 1, 2024)

Published in:
- Phys.Rev.Res. 6 (2024) 3, 033041
•
e-Print:
- 2402.00736 [cond-mat.str-el]

pdfDOI

reference search0 citations

Learning the phase transitions of two-dimensional Potts model with a pre-trained one-dimensional neural network

#9

(Dec 13, 2023)

Published in:
- Results Phys. 56 (2024) 107264

DOI

reference search2 citations

GradDFT. A software library for machine learning enhanced density functional theory

#10

(Sep 22, 2023)

Published in:
- J.Chem.Phys. 160 (2024) 6, 062501
•
e-Print:
- 2309.15127 [physics.chem-ph]

pdfDOI

reference search3 citations

Electronic structure prediction of multi-million atom systems through uncertainty quantification enabled transfer learning

#11

(Aug 24, 2023)

Published in:
- npj Computat.Mater. 10 (2024) 1, 175
•
e-Print:
- 2308.13096 [cond-mat.mtrl-sci]

DOI

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Developing Density Functional Theory with Physical Prior Knowledge

#12

Ryan Pederson

(Aug 21, 2023)

pdflinks

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Kernel based quantum machine learning at record rate: Many-body distribution functionals as compact representations

#13

(Jul 21, 2023)

Published in:
- J.Chem.Phys. 159 (2023) 3, 034106

DOI

reference search1 citation

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems

#14

et al.

(Jul 17, 2023)

e-Print:
- 2307.08423 [cs.LG]

pdf

reference search3 citations

Solution of inverse problem for Gross-Pitaevskii equation with artificial neural networks

#15

(Jun 25, 2023)

Published in:
- Laser Phys.Lett. 20 (2023) 9, 095501
•
e-Print:
- 2306.14184 [cond-mat.quant-gas]

pdfDOI

reference search1 citation

Deep learning nonlocal and scalable energy functionals for quantum Ising models

#16

(May 24, 2023)

Published in:
- Phys.Rev.B 108 (2023) 12, 125113
•
e-Print:
- 2305.15370 [cond-mat.str-el]

pdfDOI

reference search2 citations

Detection of Berezinskii–Kosterlitz–Thouless transitions for the two-dimensional q-state clock models with neural networks

#17

(Mar 1, 2023)

Published in:
- Eur.Phys.J.Plus 138 (2023) 12, 1118
•
e-Print:
- 2303.00439 [cond-mat.dis-nn]

pdfDOI

reference search2 citations

Generalizing Neural Wave Functions

#18

(Feb 8, 2023)

e-Print:
- 2302.04168 [cs.LG]

pdf

reference search9 citations

Thermodynamics and its prediction and CALPHAD modeling: Review, state of the art, and perspectives

#19

Zi-Kui Liu

(Jan 5, 2023)

Published in:
- Calphad 82 (2023) 102580
•
e-Print:
- 2301.02132 [cond-mat.stat-mech]

pdfDOI

reference search0 citations

Machine learning phases of an Abelian gauge theory

#20

Jhao-Hong Peng
(
- Duke U. and
- Taiwan, Natl. Taiwan U.
)
,
Yuan-Heng Tseng
(
- Taiwan, Natl. Taiwan U.
)
,
Fu-Jiun Jiang
(
- Taiwan, Natl. Taiwan U.
)

(Dec 30, 2022)

Published in:
- PTEP 2023 (2023) 7, 073A03
•
e-Print:
- 2212.14655 [hep-lat]

DOI

reference search4 citations

On the kinetic energy density functional: The limit of the density derivative order

#21

(Jul 15, 2022)

Published in:
- Phys.Scripta 97 (2022) 11, 115003
•
e-Print:
- 2207.07491 [quant-ph]

pdfDOI

reference search0 citations

A universal training scheme and the resulting universality for machine learning phases

#22

Yuan-Heng Tseng
(
- Taiwan, Natl. Normal U.
)
,
Fu-Jiun Jiang
(
- Taiwan, Natl. Normal U.
)
,
C.-Y. Huang
(
- Taiwan, Natl. Taiwan U. and
- Tunghai U.
)

(May 6, 2022)

Published in:
- PTEP 2023 (2023) 1, 013A03
•
e-Print:
- 2205.03061 [cond-mat.dis-nn]

DOI

reference search3 citations

Deep Learning the Functional Renormalization Group

#23

Domenico Di Sante
(
- Bologna U., Dept. Astron. and
- New York U., CCPP
)
,
Matija Medvidović
(
)
,
Alessandro Toschi
(
- TU Vienna
)
,
Giorgio Sangiovanni
(
- Wurzburg U.
)
,
Cesare Franchini
(
)

et al.

(Feb 26, 2022)

Published in:
- Phys.Rev.Lett. 129 (2022) 13, 136402
•
e-Print:
- 2202.13268 [cond-mat.str-el]

pdfDOI

reference search10 citations

Resolution of Initial Value Problems of Ordinary Differential Equations Systems

#24

(Feb 14, 2022)

Published in:
- Mathematics 10 (2022) 4, 593

pdfDOI

reference search0 citations

Descriptors for Machine Learning Model of Generalized Force Field in Condensed Matter Systems

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arXiv Category