Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields | Paper Citation Record

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

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Observation 2ff3d5cd-4345-43f3-a873-163c80bb35bd · outbound

This paper cites Time- reflection symmetry relates ionization and recolli- sion events occurring before and after the reference time.

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Time- reflection symmetry relates ionization and recolli- sion events occurring before and after the reference time

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Observation 848c6e7e-4aea-4778-aa5a-b0c75dcc2832 · outbound

This paper cites In the dipole approximation and for inversion-symmetric targets, this operator corresponds to a reflection about the time-axis.

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields In the dipole approximation and for inversion-symmetric targets, this operator corresponds to a reflection about the time-axis

Reference 3

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Observation f91e1b52-e4d2-4b5d-9450-0446ef76e477 · outbound

This paper cites Note that while ˆRθ is a generic rotation operator, ro- tational symmetry only exists for specific angles θ=θ n.

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Note that while ˆRθ is a generic rotation operator, ro- tational symmetry only exists for specific angles θ=θ n

Reference 4

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Observation e1ea4476-2993-4040-83d5-933624d3ffaf · outbound

This paper cites These fields take the form, E(t) =E 0 sin(ωt)ˆ ex.(9) whereE 0 is the field amplitude,ωis the frequency andˆ ex denotes the polarization direction.

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields These fields take the form, E(t) =E 0 sin(ωt)ˆ ex.(9) whereE 0 is the field amplitude,ωis the frequency andˆ ex denotes the polarization direction

Reference 5

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Observation 19345bee-1031-411d-96b1-1ce35378360b · outbound

This paper cites Symmetries can be pre- served or broken by tuningϕand changing the temporal structure of the field.

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Symmetries can be pre- served or broken by tuningϕand changing the temporal structure of the field

Reference 6

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Observation a6c3a0db-0bc4-4bd7-9545-dd0a8f724422 · outbound

This paper cites Here, we use the convention in [30], which setsϕ=ϕ 1 −ϕ 0, withϕ 0 = 60 ◦.

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Here, we use the convention in [30], which setsϕ=ϕ 1 −ϕ 0, withϕ 0 = 60 ◦

Reference 7

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

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Observation 3ee635d5-b3f8-4cbc-a573-cb91a5a1620f · outbound

This paper cites Con- sequently, these saddle point solutions and distributions are mainly affected by the events taken into account.

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Con- sequently, these saddle point solutions and distributions are mainly affected by the events taken into account

Reference 9

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Observation fac3ae42-34d1-4c2e-a490-2e0ce53d4c8c · outbound

This paper cites 7(a)-(d) shows the imaginary part of the ioniza- tion time computed with the PINN solver for the bichro- matic fields shown in Fig.

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields 7(a)-(d) shows the imaginary part of the ioniza- tion time computed with the PINN solver for the bichro- matic fields shown in Fig

Reference 10

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Observation b4339d32-d992-4819-9d9a-02679f0d69e8 · outbound

This paper cites Path Integrals in Quantum Physics.

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Path Integrals in Quantum Physics

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Observation 68c0ae84-b1cd-468e-8dff-fd2becf0774d · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Misumi and C

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Observation 833972a6-6e6f-4d0d-bec4-9d049f03b6cf · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Andreassen, D

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Elder, K

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Altland and B

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Sali` eres, B

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Observation 809677ff-3654-4f4f-8876-dd8d75c51b7c · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Smirnova, A

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Torlina, M

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This paper cites Accurate retrieval of structural information from laser-induced photoelectron and high-harmonic spectra by few-cycle laser pulses.

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Accurate retrieval of structural information from laser-induced photoelectron and high-harmonic spectra by few-cycle laser pulses

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Cavaliere, G

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Influence of the Coulomb potential on above-threshold ionization: a quantum-orbit analysis beyond the strong-field approximation

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Coulomb-corrected quantum interference in above-threshold ionization: Working towards multi-trajectory electron holography

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Huang, M

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Zhang, X

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Hashim, R

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Hashim, D

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Below threshold nonsequential double ionization with linearly polarized two-color fields II: Quantum interference

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Hashim, D

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Amini, J

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Liu and L

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Nataf and P.-H

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Weber, J

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Nocedal and S

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Murray, Newton-type methods, inWiley Encyclopedia of Operations Research and Management Science(Wiley, Hoboken, NJ, USA, 2011)

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Figueira de Morisson Faria, H

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Habibovi´ c, W

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Koch and D

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Koch and D

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Shaaran, C

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Yan and D

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Cruz Rodriguez, T

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Reference 67

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Reference 69

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Rivera-Dean, P

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Stammer, J

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Reference 73

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Habibovi´ c and D

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Habibovi´ c, W

Reference 76

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Habibovi´ c and D

Reference 77

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Observation 3768f8a6-344e-4fbf-9c1b-5438ba9080f9 · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Caron, P

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

Reference 79

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Observation d32b9f14-b465-4355-a5be-c1a99d2800c5 · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Cho and D

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Observation 98d38404-dda8-45f2-a0c2-2fd68d9d497a · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Hajivassiliou, M

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Observation edccd767-ba4c-4dcf-8a63-5313ccbb0155 · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Hirschman, B

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Observation 940aebd2-b4ba-4adc-99c8-38c6d36cff1c · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Chomet, S

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

Reference 84

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Observation 76feb768-c47d-4f1f-b708-387b26e83f10 · outbound

This paper cites an unresolved cited work.

Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

Reference 85

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Observation d521c38a-754a-485c-bcf7-b20182ab9744 · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

Reference 86

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Observation 2fd90c89-1588-4d55-8ff0-3172a9b2b84f · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

Reference 87

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Observation 48b18f1f-61c1-4723-88cb-b5bb13fb4416 · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Raissi, P

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Observation b508c21f-b2da-42d8-b82a-a33ab4baa5ec · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

Reference 89

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Observation 955c890a-7f25-4d06-9262-4bc4b01e6fbe · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Ehlotzky, Atomic phenomena in bichromatic laser fields, Physics Reports345, 175 (2001)

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Observation aa01b480-fbe3-45d0-960d-4f3c7a9d7a8d · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

Reference 91

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Observation 8e7d30bb-1c0b-4a7b-855b-209978b95241 · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Bashkansky, P

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Observation 288ca60e-a939-4932-a6b5-66b8180552f3 · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Becker and D

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Observation 41db46e9-ad93-45b2-b255-dfd0f88675f2 · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Busuladˇ zi´ c, A

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Observation 825b585c-834d-4e90-855f-d71d84bc3cde · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

Reference 95

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Observation 60ae85a9-a81a-4cd2-b688-36592da7a881 · outbound

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Neufeld, D

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

Reference 97

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

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Physics-informed neural networks for solving saddle-point equations in strong-field physics with tailored fields Unresolved cited work

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