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| 001 | 622215 | ||
| 005 | 20250715170851.0 | ||
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| 100 | 1 | _ | |a Munteanu, Valentin |0 P:(DE-H253)PIP1096639 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Neural network analysis of neutron and X-ray reflectivity data incorporating prior knowledge |
| 260 | _ | _ | |a Copenhagen |c 2024 |b Munksgaard |
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| 520 | _ | _ | |a Due to the ambiguity related to the lack of phase information, determining the physical parameters of multilayer thin films from measured neutron and X-ray reflectivity curves is, on a fundamental level, an underdetermined inverse problem. This ambiguity poses limitations on standard neural networks, constraining the range and number of considered parameters in previous machine learning solutions. To overcome this challenge, a novel training procedure has been designed which incorporates dynamic prior boundaries for each physical parameter as additional inputs to the neural network. In this manner, the neural network can be trained simultaneously on all well-posed subintervals of a larger parameter space in which the inverse problem is underdetermined. During inference, users can flexibly input their own prior knowledge about the physical system to constrain the neural network prediction to distinct target subintervals in the parameter space. The effectiveness of the method is demonstrated in various scenarios, including multilayer structures with a box model parameterization and a physics-inspired special parameterization of the scattering length density profile for a multilayer structure. In contrast to previous methods, this approach scales favourably when increasing the complexity of the inverse problem, working properly even for a five-layer multilayer model and a periodic multilayer model with up to 17 open parameters. |
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| 700 | 1 | _ | |a Starostin, Vladimir |b 1 |
| 700 | 1 | _ | |a Greco, Alessandro |b 2 |
| 700 | 1 | _ | |a Pithan, Linus |0 P:(DE-H253)PIP1017835 |b 3 |
| 700 | 1 | _ | |a Gerlach, Alexander |b 4 |
| 700 | 1 | _ | |a Hinderhofer, Alexander |b 5 |
| 700 | 1 | _ | |a Kowarik, Stefan |b 6 |
| 700 | 1 | _ | |a Schreiber, Frank |0 P:(DE-H253)PIP1008437 |b 7 |e Corresponding author |
| 773 | 1 | 8 | |a 10.1107/s1600576724002115 |b International Union of Crystallography (IUCr) |d 2024-03-31 |n 2 |p 456-469 |3 journal-article |2 Crossref |t Journal of Applied Crystallography |v 57 |y 2024 |x 1600-5767 |
| 773 | _ | _ | |a 10.1107/S1600576724002115 |g Vol. 57, no. 2, p. 456 - 469 |0 PERI:(DE-600)2020879-0 |n 2 |p 456-469 |t Journal of applied crystallography |v 57 |y 2024 |x 1600-5767 |
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| 999 | C | 5 | |a 10.1051/jphysrad:01950001107030700 |9 -- missing cx lookup -- |1 Abelès |p 307 - |2 Crossref |t J. Phys. Radium |v 11 |y 1950 |
| 999 | C | 5 | |a 10.1088/1361-6420/aa9581 |9 -- missing cx lookup -- |1 Adler |p 124007 - |2 Crossref |t Inverse Probl. |v 33 |y 2017 |
| 999 | C | 5 | |a 10.1364/AO.33.001806 |9 -- missing cx lookup -- |1 Allman |p 1806 - |2 Crossref |t Appl. Opt. |v 33 |y 1994 |
| 999 | C | 5 | |a 10.1063/5.0078814 |9 -- missing cx lookup -- |1 Andrejevic |p 011421 - |2 Crossref |t Appl. Phys. Rev. |v 9 |y 2022 |
| 999 | C | 5 | |a 10.6028/jres.098.004 |9 -- missing cx lookup -- |1 Ankner |p 47 - |2 Crossref |t J. Res. Natl Inst. Standards |v 98 |y 1993 |
| 999 | C | 5 | |a 10.1038/s41598-021-02085-6 |9 -- missing cx lookup -- |1 Aoki |p 22711 - |2 Crossref |t Sci. Rep. |v 11 |y 2021 |
| 999 | C | 5 | |2 Crossref |u Ardizzone, L., Kruse, J., Rother, C. & Köthe, U. (2019). International Conference on Learning Representations (ICLR2019), 6-9 May 2019, New Orleans, Louisiana, USA, abstract rJed6j0cKX. |
| 999 | C | 5 | |2 Crossref |u Babu, A. V., Zhou, T., Kandel, S., Bicer, T., Liu, Z., Judge, W., Ching, D. J., Jiang, Y., Veseli, S., Henke, S., Chard, R., Yao, Y., Sirazitdinova, E., Gupta, G., Holt, M. V., Foster, I. T., Miceli, A. & Cherukara, M. J. (2022). arXiv:2209.09408. |
| 999 | C | 5 | |2 Crossref |u Bae, J., Zhang, M. R., Ruan, M., Wang, E., Hasegawa, S., Ba, J. & Grosse, R. (2022). arXiv:2212.03905. |
| 999 | C | 5 | |a 10.1007/978-3-642-38177-5 |9 -- missing cx lookup -- |2 Crossref |u Benediktovich, A., Feranchuk, I. & Ulyanenkov, A. (2014). Theoretical Concepts of X-ray Nanoscale Analysis: Theory and Applications. Berlin, Heidelberg: Springer. |
| 999 | C | 5 | |a 10.1103/PhysRevA.38.2457 |9 -- missing cx lookup -- |1 Braslau |p 2457 - |2 Crossref |t Phys. Rev. A |v 38 |y 1988 |
| 999 | C | 5 | |a 10.1021/acs.langmuir.9b03785 |9 -- missing cx lookup -- |1 Chu |p 906 - |2 Crossref |t Langmuir |v 36 |y 2020 |
| 999 | C | 5 | |a 10.1007/978-1-62703-275-9_7 |9 -- missing cx lookup -- |2 Crossref |u Clifton, L. A., Neylon, C. & Lakey, J. H. (2012). Examining Protein-Lipid Complexes Using Neutron Scattering, pp. 119-150. Totowa: Humana Press. |
| 999 | C | 5 | |2 Crossref |u Collobert, R., Puhrsch, C. & Synnaeve, G. (2016). arXiv:1609.03193. |
| 999 | C | 5 | |a 10.1007/978-3-540-88588-7 |9 -- missing cx lookup -- |2 Crossref |u Daillant, J. & Gibaud, A. (2009). X-ray and Neutron Reflectivity. Heidelberg: Springer. |
| 999 | C | 5 | |a 10.1088/2632-2153/abf257 |9 -- missing cx lookup -- |1 Doucet |p 035001 - |2 Crossref |t Mach. Learn. Sci. Technol. |v 2 |y 2021 |
| 999 | C | 5 | |a 10.1016/S0009-2614(97)00941-X |9 -- missing cx lookup -- |1 Fenter |p 521 - |2 Crossref |t Chem. Phys. Lett. |v 277 |y 1997 |
| 999 | C | 5 | |a 10.1107/S1600577517018057 |9 -- missing cx lookup -- |1 Festersen |p 432 - |2 Crossref |t J. Synchrotron Rad. |v 25 |y 2018 |
| 999 | C | 5 | |a 10.1088/0953-8984/13/21/322 |9 -- missing cx lookup -- |1 Fragneto-Cusani |p 4973 - |2 Crossref |t J. Phys. Condens. Matter |v 13 |y 2001 |
| 999 | C | 5 | |a 10.1007/BF00342633 |9 -- missing cx lookup -- |1 Fukushima |p 121 - |2 Crossref |t Biol. Cybern. |v 20 |y 1975 |
| 999 | C | 5 | |a 10.1201/b16018 |9 -- missing cx lookup -- |2 Crossref |u Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A. & Rubin, D. B. (2013). Bayesian Data Analysis. Boca Raton: Chapman and Hall/CRC. |
| 999 | C | 5 | |a 10.1107/S1600576722006653 |9 -- missing cx lookup -- |1 Glavic |p 1063 - |2 Crossref |t J. Appl. Cryst. |v 55 |y 2022 |
| 999 | C | 5 | |a 10.1107/S1600576722002230 |9 -- missing cx lookup -- |1 Greco |p 362 - |2 Crossref |t J. Appl. Cryst. |v 55 |y 2022 |
| 999 | C | 5 | |a 10.1088/2632-2153/abf9b1 |9 -- missing cx lookup -- |1 Greco |p 045003 - |2 Crossref |t Mach. Learn. Sci. Technol. |v 2 |y 2021 |
| 999 | C | 5 | |a 10.1107/S1600576719013311 |9 -- missing cx lookup -- |1 Greco |p 1342 - |2 Crossref |t J. Appl. Cryst. |v 52 |y 2019 |
| 999 | C | 5 | |a 10.3390/s22239517 |9 -- missing cx lookup -- |1 Guessoum |p 9517 - |2 Crossref |t Sensors |v 22 |y 2022 |
| 999 | C | 5 | |2 Crossref |u He, K., Zhang, X., Ren, S. & Sun, J. (2016). 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 27-30 June 2016, Las Vegas, Nevada, USA, pp. 770-778. New York: IEEE. |
| 999 | C | 5 | |a 10.1016/bs.mie.2015.05.019 |9 -- missing cx lookup -- |2 Crossref |u Heinrich, F. (2016). Deuteration in Biological Neutron Reflectometry, pp. 211-230. Amsterdam: Elsevier. |
| 999 | C | 5 | |2 Crossref |u Hendrycks, D. & Gimpel, K. (2020). arXiv:1606.08415. |
| 999 | C | 5 | |a 10.1107/S1600576722011566 |9 -- missing cx lookup -- |1 Hinderhofer |p 3 - |2 Crossref |t J. Appl. Cryst. |v 56 |y 2023 |
| 999 | C | 5 | |2 Crossref |u Holý, V., Pietsch, U. & Baumbach, T. (1999). High-Resolution X-ray Scattering from Thin Films and Multilayers. Berlin: Springer. |
| 999 | C | 5 | |1 Ioffe |y 2015 |2 Crossref |o Ioffe 2015 |
| 999 | C | 5 | |1 Kabanikhin |y 2008 |2 Crossref |o Kabanikhin 2008 |
| 999 | C | 5 | |a 10.1107/S1600576721009043 |9 -- missing cx lookup -- |1 Kim |p 1572 - |2 Crossref |t J. Appl. Cryst. |v 54 |y 2021 |
| 999 | C | 5 | |2 Crossref |u Kingma, D. P. & Ba, J. (2017). arXiv:1412.6980. |
| 999 | C | 5 | |a 10.1016/j.ymssp.2020.107398 |9 -- missing cx lookup -- |1 Kiranyaz |p 107398 - |2 Crossref |t Mech. Syst. Signal Process. |v 151 |y 2021 |
| 999 | C | 5 | |2 Crossref |u Klambauer, G., Unterthiner, T., Mayr, A. & Hochreiter, S. (2017). Advances in Neural Information Processing Systems, Vol. 30, edited by I. Guyon, U. V. Luxburg, S. Bengio, H. Wallach, R. Fergus, S. Vishwanathan & R. Garnett. Red Hook: Curran Associates. |
| 999 | C | 5 | |2 Crossref |u Komatsuzaki, A. (2019). arXiv:1906.06669. |
| 999 | C | 5 | |2 Crossref |u Kovachki, N., Li, Z., Liu, B., Azizzadenesheli, K., Bhattacharya, K., Stuart, A. & Anandkumar, A. (2023). arXiv:2108.08481. |
| 999 | C | 5 | |a 10.1103/PhysRevLett.96.125504 |9 -- missing cx lookup -- |1 Kowarik |p 125504 - |2 Crossref |t Phys. Rev. Lett. |v 96 |y 2006 |
| 999 | C | 5 | |a 10.1016/S0168-9002(03)01512-2 |9 -- missing cx lookup -- |1 Kozhevnikov |p 519 - |2 Crossref |t Nucl. Instrum. Methods Phys. Res. A |v 508 |y 2003 |
| 999 | C | 5 | |a 10.1021/ja806211r |9 -- missing cx lookup -- |1 Lehmkühler |p 585 - |2 Crossref |t J. Am. Chem. Soc. |v 131 |y 2009 |
| 999 | C | 5 | |a 10.1088/1361-6420/ab6d57 |9 -- missing cx lookup -- |1 Li |p 065005 - |2 Crossref |t Inverse Probl. |v 36 |y 2020 |
| 999 | C | 5 | |2 Crossref |u Li, Z., Kovachki, N., Azizzadenesheli, K., Liu, B., Bhattacharya, K., Stuart, A. & Anandkumar, A. (2020). arXiv:2003.03485. |
| 999 | C | 5 | |2 Crossref |u Li, Z., Kovachki, N. B., Azizzadenesheli, K., Liu, B., Bhattacharya, K., Stuart, A. & Anandkumar, A. (2021). International Conference on Learning Representations (ICLR2021), 4 May 2021, Vienna, Austria, abstract c8P9NQVtmnO. |
| 999 | C | 5 | |a 10.1021/jp510321k |9 -- missing cx lookup -- |1 Lorch |p 819 - |2 Crossref |t J. Phys. Chem. C |v 119 |y 2015 |
| 999 | C | 5 | |2 Crossref |u Loshchilov, I. & Hutter, F. (2019). International Conference on Learning Representations (ICLR2019), 6-9 May 2019, New Orleans, Louisiana, USA, abstract Bkg6RiCqY7. |
| 999 | C | 5 | |a 10.1016/0921-4526(91)90037-F |9 -- missing cx lookup -- |1 Majkrzak |p 75 - |2 Crossref |t Physica B |v 173 |y 1991 |
| 999 | C | 5 | |a 10.1016/S0921-4526(98)00260-9 |9 -- missing cx lookup -- |1 Majkrzak |p 338 - |2 Crossref |t Physica B |v 248 |y 1998 |
| 999 | C | 5 | |a 10.1016/j.physb.2004.10.038 |9 -- missing cx lookup -- |1 Masoudi |p 21 - |2 Crossref |t Physica B |v 356 |y 2005 |
| 999 | C | 5 | |a 10.1016/0168-9002(94)91188-6 |9 -- missing cx lookup -- |1 Metzger |p 398 - |2 Crossref |t Nucl. Instrum. Methods Phys. Res. A |v 350 |y 1994 |
| 999 | C | 5 | |a 10.1007/978-3-642-18672-1 |9 -- missing cx lookup -- |2 Crossref |u Michely, T. & Krug, J. (2004). Islands, Mounds, and Atoms. Patterns and Processes in Crystal Growth Far from Equilibrium. Heidelberg: Springer. |
| 999 | C | 5 | |a 10.1088/2632-2153/abe7b5 |9 -- missing cx lookup -- |1 Mironov |p 035006 - |2 Crossref |t Mach. Learn. Sci. Technol. |v 2 |y 2021 |
| 999 | C | 5 | |2 Crossref |u Misra, D. (2020). arXiv:1908.08681. |
| 999 | C | 5 | |a 10.1103/PhysRevE.66.061801 |9 -- missing cx lookup -- |1 Mukherjee |p 061801 - |2 Crossref |t Phys. Rev. E |v 66 |y 2002 |
| 999 | C | 5 | |a 10.1016/0925-2312(91)90023-5 |9 -- missing cx lookup -- |1 Murtagh |p 183 - |2 Crossref |t Neurocomputing |v 2 |y 1991 |
| 999 | C | 5 | |a 10.1107/S1600576718017296 |9 -- missing cx lookup -- |1 Nelson |p 193 - |2 Crossref |t J. Appl. Cryst. |v 52 |y 2019 |
| 999 | C | 5 | |a 10.1529/biophysj.105.067595 |9 -- missing cx lookup -- |1 Neville |p 1275 - |2 Crossref |t Biophys. J. |v 90 |y 2006 |
| 999 | C | 5 | |a 10.1051/rphysap:01980001503076100 |9 -- missing cx lookup -- |1 Névot |p 761 - |2 Crossref |t Rev. Phys. Appl. |v 15 |y 1980 |
| 999 | C | 5 | |2 Crossref |u Newton, R. G. (1974). Scattering Theory in Mathematical Physics, NATO Advanced Study Institutes Series, Vol 9, edited by J. A. Lavita & J. P. Marchand, pp. 193-235. Dordrecht: Springer. |
| 999 | C | 5 | |a 10.1038/s41524-022-00876-7 |9 -- missing cx lookup -- |2 Crossref |u Oommen, V., Shukla, K., Goswami, S., Dingreville, R. & Karniadakis, G. E. (2022). NPJ Comput. Mater. 8, 190. |
| 999 | C | 5 | |2 Crossref |u Orhan, E. & Pitkow, X. (2018). International Conference on Learning Representations (ICLR2018), 30 April to 3 May 2018, Vancouver, Canada, abstract HkwBEMWCZ. |
| 999 | C | 5 | |a 10.1103/PhysRev.95.359 |9 -- missing cx lookup -- |1 Parratt |p 359 - |2 Crossref |t Phys. Rev. |v 95 |y 1954 |
| 999 | C | 5 | |2 Crossref |u Paszke, A., Gross, S., Massa, F., Lerer, A., Bradbury, J., Chanan, G., Killeen, T., Lin, Z., Gimelshein, N., Antiga, L., Desmaison, A., Köpf, A., Yang, E., DeVito, Z., Raison, M., Tejani, A., Chilamkurthy, S., Steiner, B., Fang, L., Bai, J. & Chintala, S. (2019). arXiv:1912.01703. |
| 999 | C | 5 | |a 10.1103/PhysRevE.50.2369 |9 -- missing cx lookup -- |1 Pershan |p 2369 - |2 Crossref |t Phys. Rev. E |v 50 |y 1994 |
| 999 | C | 5 | |2 Crossref |u Pithan, L., Greco, A., Hinderhofer, A., Gerlach, A., Kowarik, S., Rußegger, N., Dax, I. & Schreiber, F. (2022). Reflectometry Curves (XRR and NR) and Corresponding Fits for Machine Learning, https://zenodo.org/records/6497438. |
| 999 | C | 5 | |2 Crossref |u Pithan, L., Starostin, V., Mareček, D., Petersdorf, L., Völter, C., Munteanu, V., Jankowski, M., Konovalov, O., Gerlach, A., Hinderhofer, A., Murphy, B., Kowarik, S. & Schreiber, F. (2023). arXiv:2306.11899. |
| 999 | C | 5 | |a 10.1103/PhysRevB.45.602 |9 -- missing cx lookup -- |1 Pynn |p 602 - |2 Crossref |t Phys. Rev. B |v 45 |y 1992 |
| 999 | C | 5 | |a 10.1063/1.1336822 |9 -- missing cx lookup -- |1 Ritley |p 1453 - |2 Crossref |t Rev. Sci. Instrum. |v 72 |y 2001 |
| 999 | C | 5 | |a 10.1016/j.semcdb.2016.06.014 |9 -- missing cx lookup -- |1 Salditt |p 65 - |2 Crossref |t Semin. Cell Dev. Biol. |v 60 |y 2016 |
| 999 | C | 5 | |a 10.1016/0921-4526(95)00903-5 |9 -- missing cx lookup -- |1 Schlomka |p 44 - |2 Crossref |t Physica B |v 221 |y 1996 |
| 999 | C | 5 | |a 10.1209/epl/i2002-00274-6 |9 -- missing cx lookup -- |1 Seeck |p 376 - |2 Crossref |t Europhys. Lett. |v 60 |y 2002 |
| 999 | C | 5 | |a 10.1007/0-306-47077-2_19 |9 -- missing cx lookup -- |2 Crossref |u Sinha, S. K. & Pynn, R. (2002). Diffuse X-ray and Neutron Reflection from Surfaces and Interfaces, edited by S. J. L Billinge & M. F. Thorpe, pp. 351-373. New York: Springer US. |
| 999 | C | 5 | |a 10.1039/C6SM00369A |9 -- missing cx lookup -- |1 Sironi |p 3877 - |2 Crossref |t Soft Matter |v 12 |y 2016 |
| 999 | C | 5 | |a 10.1063/1.349629 |9 -- missing cx lookup -- |1 Sivia |p 732 - |2 Crossref |t J. Appl. Phys. |v 70 |y 1991 |
| 999 | C | 5 | |a 10.1016/j.jcis.2021.08.018 |9 -- missing cx lookup -- |1 Skoda |p 1673 - |2 Crossref |t J. Colloid Interface Sci. |v 606 |y 2022 |
| 999 | C | 5 | |a 10.1039/C7RA04900E |9 -- missing cx lookup -- |1 Skoda |p 34208 - |2 Crossref |t RSC Adv. |v 7 |y 2017 |
| 999 | C | 5 | |a 10.1103/PhysRevB.41.1111 |9 -- missing cx lookup -- |1 Tidswell |p 1111 - |2 Crossref |t Phys. Rev. B |v 41 |y 1990 |
| 999 | C | 5 | |a 10.1007/BFb0112834 |9 -- missing cx lookup -- |2 Crossref |u Tolan, M. (1999). X-ray Scattering from Soft-Matter Thin Films: Materials Science and Basic Research. Heidelberg: Springer. |
| 999 | C | 5 | |a 10.1107/S1600576718017016 |9 -- missing cx lookup -- |1 Treece |p 47 - |2 Crossref |t J. Appl. Cryst. |v 52 |y 2019 |
| 999 | C | 5 | |a 10.1007/BF01120784 |9 -- missing cx lookup -- |1 Volostnikov |p 601 - |2 Crossref |t J. Russ. Laser Res. |v 11 |y 1990 |
| 999 | C | 5 | |a 10.1021/ja00197a054 |9 -- missing cx lookup -- |1 Wasserman |p 5852 - |2 Crossref |t J. Am. Chem. Soc. |v 111 |y 1989 |
| 999 | C | 5 | |a 10.1016/j.advwatres.2022.104180 |9 -- missing cx lookup -- |1 Wen |p 104180 - |2 Crossref |t Adv. Water Resour. |v 163 |y 2022 |
| 999 | C | 5 | |a 10.1103/PhysRevB.84.075479 |9 -- missing cx lookup -- |1 Woll |p 075479 - |2 Crossref |t Phys. Rev. B |v 84 |y 2011 |
| 999 | C | 5 | |a 10.1103/PhysRevE.47.3174 |9 -- missing cx lookup -- |1 Zhou |p 3174 - |2 Crossref |t Phys. Rev. E |v 47 |y 1993 |
| 999 | C | 5 | |a 10.1016/0370-1573(94)00110-O |9 -- missing cx lookup -- |1 Zhou |p 223 - |2 Crossref |t Phys. Rep. |v 257 |y 1995 |
| Library | Collection | CLSMajor | CLSMinor | Language | Author |
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