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For: Zhang Y, Mesaros A, Fujita K, Edkins SD, Hamidian MH, Ch'ng K, Eisaki H, Uchida S, Davis JCS, Khatami E, Kim EA. Machine learning in electronic-quantum-matter imaging experiments. Nature 2019;570:484-490. [PMID: 31217587 DOI: 10.1038/s41586-019-1319-8] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2018] [Accepted: 04/08/2019] [Indexed: 11/09/2022]
Number Cited by Other Article(s)
1
Pregowska A, Roszkiewicz A, Osial M, Giersig M. How scanning probe microscopy can be supported by artificial intelligence and quantum computing? Microsc Res Tech 2024;87:2515-2539. [PMID: 38864463 DOI: 10.1002/jemt.24629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2024] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/13/2024]
2
Arnold J, Schäfer F, Edelman A, Bruder C. Mapping Out Phase Diagrams with Generative Classifiers. PHYSICAL REVIEW LETTERS 2024;132:207301. [PMID: 38829098 DOI: 10.1103/physrevlett.132.207301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/26/2023] [Revised: 10/10/2023] [Accepted: 03/18/2024] [Indexed: 06/05/2024]
3
Kang S, Park J, Lee M. Machine learning-enabled autonomous operation for atomic force microscopes. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2023;94:123704. [PMID: 38109471 DOI: 10.1063/5.0172682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 11/26/2023] [Indexed: 12/20/2023]
4
Gui C, Zhang Z, Li Z, Luo C, Xia J, Wu X, Chu J. Deep learning analysis on transmission electron microscope imaging of atomic defects in two-dimensional materials. iScience 2023;26:107982. [PMID: 37810254 PMCID: PMC10551659 DOI: 10.1016/j.isci.2023.107982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/10/2023]  Open
5
Sobral JA, Obernauer S, Turkel S, Pasupathy AN, Scheurer MS. Machine learning the microscopic form of nematic order in twisted double-bilayer graphene. Nat Commun 2023;14:5012. [PMID: 37591848 PMCID: PMC10435506 DOI: 10.1038/s41467-023-40684-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 08/01/2023] [Indexed: 08/19/2023]  Open
6
Jang Y, Kim CH, Go A. Classification of magnetic order from electronic structure by using machine learning. Sci Rep 2023;13:12445. [PMID: 37528106 PMCID: PMC10394061 DOI: 10.1038/s41598-023-38863-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 07/16/2023] [Indexed: 08/03/2023]  Open
7
Chen X, Xu S, Shabani S, Zhao Y, Fu M, Millis AJ, Fogler MM, Pasupathy AN, Liu M, Basov DN. Machine Learning for Optical Scanning Probe Nanoscopy. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023;35:e2109171. [PMID: 36333118 DOI: 10.1002/adma.202109171] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Revised: 07/09/2022] [Indexed: 06/16/2023]
8
Tang B, Song Y, Qin M, Tian Y, Wu ZW, Jiang Y, Cao D, Xu L. Machine learning-aided atomic structure identification of interfacial ionic hydrates from AFM images. Natl Sci Rev 2023;10:nwac282. [PMID: 37266561 PMCID: PMC10232042 DOI: 10.1093/nsr/nwac282] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 06/21/2024]  Open
9
Zou Q, Oli BD, Zhang H, Benigno J, Li X, Li L. Deciphering Alloy Composition in Superconducting Single-Layer FeSe1-xSx on SrTiO3(001) Substrates by Machine Learning of STM/S Data. ACS APPLIED MATERIALS & INTERFACES 2023;15:22644-22650. [PMID: 37125966 PMCID: PMC10176460 DOI: 10.1021/acsami.2c23324] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
10
Cassella G, Sutterud H, Azadi S, Drummond ND, Pfau D, Spencer JS, Foulkes WMC. Discovering Quantum Phase Transitions with Fermionic Neural Networks. PHYSICAL REVIEW LETTERS 2023;130:036401. [PMID: 36763402 DOI: 10.1103/physrevlett.130.036401] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 11/18/2022] [Indexed: 06/18/2023]
11
Yu LW, Zhang SY, Shen PX, Deng DL. Unsupervised Learning of Interacting Topological Phases from Experimental Observables. FUNDAMENTAL RESEARCH 2023. [DOI: 10.1016/j.fmre.2022.12.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]  Open
12
Andrejevic N, Andrejevic J, Bernevig BA, Regnault N, Han F, Fabbris G, Nguyen T, Drucker NC, Rycroft CH, Li M. Machine-Learning Spectral Indicators of Topology. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022;34:e2204113. [PMID: 36193763 DOI: 10.1002/adma.202204113] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 07/18/2022] [Indexed: 06/16/2023]
13
Botifoll M, Pinto-Huguet I, Arbiol J. Machine learning in electron microscopy for advanced nanocharacterization: current developments, available tools and future outlook. NANOSCALE HORIZONS 2022;7:1427-1477. [PMID: 36239693 DOI: 10.1039/d2nh00377e] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
14
van Mastrigt R, Dijkstra M, van Hecke M, Coulais C. Machine Learning of Implicit Combinatorial Rules in Mechanical Metamaterials. PHYSICAL REVIEW LETTERS 2022;129:198003. [PMID: 36399748 DOI: 10.1103/physrevlett.129.198003] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 09/14/2022] [Indexed: 06/16/2023]
15
Zhao E, Mak TH, He C, Ren Z, Pak KK, Liu YJ, Jo GB. Observing a topological phase transition with deep neural networks from experimental images of ultracold atoms. OPTICS EXPRESS 2022;30:37786-37794. [PMID: 36258360 DOI: 10.1364/oe.473770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
16
Fu Z, Liu W, Huang C, Mei T. A Review of Performance Prediction Based on Machine Learning in Materials Science. NANOMATERIALS (BASEL, SWITZERLAND) 2022;12:nano12172957. [PMID: 36079994 PMCID: PMC9457802 DOI: 10.3390/nano12172957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 08/07/2022] [Accepted: 08/24/2022] [Indexed: 05/11/2023]
17
Zhang H, Jiang S, Wang X, Zhang W, Huang X, Ouyang X, Yu Y, Liu Y, Deng DL, Duan LM. Experimental demonstration of adversarial examples in learning topological phases. Nat Commun 2022;13:4993. [PMID: 36008401 PMCID: PMC9411630 DOI: 10.1038/s41467-022-32611-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 08/04/2022] [Indexed: 11/08/2022]  Open
18
Mai H, Le TC, Chen D, Winkler DA, Caruso RA. Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery. Chem Rev 2022;122:13478-13515. [PMID: 35862246 DOI: 10.1021/acs.chemrev.2c00061] [Citation(s) in RCA: 72] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
19
Venderley J, Mallayya K, Matty M, Krogstad M, Ruff J, Pleiss G, Kishore V, Mandrus D, Phelan D, Poudel L, Wilson AG, Weinberger K, Upreti P, Norman M, Rosenkranz S, Osborn R, Kim EA. Harnessing interpretable and unsupervised machine learning to address big data from modern X-ray diffraction. Proc Natl Acad Sci U S A 2022;119:e2109665119. [PMID: 35679347 PMCID: PMC9214512 DOI: 10.1073/pnas.2109665119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2021] [Accepted: 02/26/2022] [Indexed: 11/18/2022]  Open
20
Boeri L, Hennig R, Hirschfeld P, Profeta G, Sanna A, Zurek E, Pickett WE, Amsler M, Dias R, Eremets MI, Heil C, Hemley RJ, Liu H, Ma Y, Pierleoni C, Kolmogorov AN, Rybin N, Novoselov D, Anisimov V, Oganov AR, Pickard CJ, Bi T, Arita R, Errea I, Pellegrini C, Requist R, Gross EKU, Margine ER, Xie SR, Quan Y, Hire A, Fanfarillo L, Stewart GR, Hamlin JJ, Stanev V, Gonnelli RS, Piatti E, Romanin D, Daghero D, Valenti R. The 2021 room-temperature superconductivity roadmap. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2022;34:183002. [PMID: 34544070 DOI: 10.1088/1361-648x/ac2864] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Accepted: 09/20/2021] [Indexed: 06/13/2023]
21
Glavin NR, Ajayan PM, Kar S. Quantum Materials Manufacturing. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2022:e2109892. [PMID: 35195312 DOI: 10.1002/adma.202109892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2021] [Revised: 01/13/2022] [Indexed: 06/14/2023]
22
Xu S, McLeod AS, Chen X, Rizzo DJ, Jessen BS, Yao Z, Wang Z, Sun Z, Shabani S, Pasupathy AN, Millis AJ, Dean CR, Hone JC, Liu M, Basov DN. Deep Learning Analysis of Polaritonic Wave Images. ACS NANO 2021;15:18182-18191. [PMID: 34714043 DOI: 10.1021/acsnano.1c07011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
23
Bohrdt A, Kim S, Lukin A, Rispoli M, Schittko R, Knap M, Greiner M, Léonard J. Analyzing Nonequilibrium Quantum States through Snapshots with Artificial Neural Networks. PHYSICAL REVIEW LETTERS 2021;127:150504. [PMID: 34678012 DOI: 10.1103/physrevlett.127.150504] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 08/11/2021] [Accepted: 09/07/2021] [Indexed: 06/13/2023]
24
Diegmiller R, Doherty CA, Stern T, Imran Alsous J, Shvartsman SY. Size scaling in collective cell growth. Development 2021;148:271938. [PMID: 34463760 DOI: 10.1242/dev.199663] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 08/12/2021] [Indexed: 02/03/2023]
25
Rao N, Liu K, Pollet L. Inferring hidden symmetries of exotic magnets from detecting explicit order parameters. Phys Rev E 2021;104:015311. [PMID: 34412223 DOI: 10.1103/physreve.104.015311] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 06/13/2021] [Indexed: 11/07/2022]
26
Käming N, Dawid A, Kottmann K, Lewenstein M, Sengstock K, Dauphin A, Weitenberg C. Unsupervised machine learning of topological phase transitions from experimental data. MACHINE LEARNING: SCIENCE AND TECHNOLOGY 2021. [DOI: 10.1088/2632-2153/abffe7] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]  Open
27
Miles C, Bohrdt A, Wu R, Chiu C, Xu M, Ji G, Greiner M, Weinberger KQ, Demler E, Kim EA. Correlator convolutional neural networks as an interpretable architecture for image-like quantum matter data. Nat Commun 2021;12:3905. [PMID: 34162847 PMCID: PMC8222395 DOI: 10.1038/s41467-021-23952-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Accepted: 05/27/2021] [Indexed: 11/09/2022]  Open
28
Twyman R, Gibson SJ, Molony J, Quintanilla J. Principal component analysis of diffuse magnetic neutron scattering: a theoretical study. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2021;33:324002. [PMID: 34038888 DOI: 10.1088/1361-648x/ac056f] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2020] [Accepted: 05/26/2021] [Indexed: 06/12/2023]
29
Vinograd I, Zhou R, Hirata M, Wu T, Mayaffre H, Krämer S, Liang R, Hardy WN, Bonn DA, Julien MH. Locally commensurate charge-density wave with three-unit-cell periodicity in YBa2Cu3Oy. Nat Commun 2021;12:3274. [PMID: 34075033 PMCID: PMC8169916 DOI: 10.1038/s41467-021-23140-w] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2021] [Accepted: 04/16/2021] [Indexed: 11/20/2022]  Open
30
Sotres J, Boyd H, Gonzalez-Martinez JF. Enabling autonomous scanning probe microscopy imaging of single molecules with deep learning. NANOSCALE 2021;13:9193-9203. [PMID: 33885692 DOI: 10.1039/d1nr01109j] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
31
Tula T, Möller G, Quintanilla J, Giblin SR, Hillier AD, McCabe EE, Ramos S, Barker DS, Gibson S. Machine learning approach to muon spectroscopy analysis. JOURNAL OF PHYSICS. CONDENSED MATTER : AN INSTITUTE OF PHYSICS JOURNAL 2021;33:194002. [PMID: 33545697 DOI: 10.1088/1361-648x/abe39e] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 02/05/2021] [Indexed: 06/12/2023]
32
Rodrigues JD, Dhar HS, Walker BT, Smith JM, Oulton RF, Mintert F, Nyman RA. Learning the Fuzzy Phases of Small Photonic Condensates. PHYSICAL REVIEW LETTERS 2021;126:150602. [PMID: 33929251 DOI: 10.1103/physrevlett.126.150602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 03/18/2021] [Indexed: 06/12/2023]
33
Zhao E, Lee J, He C, Ren Z, Hajiyev E, Liu J, Jo GB. Heuristic machinery for thermodynamic studies of SU(N) fermions with neural networks. Nat Commun 2021;12:2011. [PMID: 33790292 PMCID: PMC8012572 DOI: 10.1038/s41467-021-22270-5] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2020] [Accepted: 03/02/2021] [Indexed: 11/10/2022]  Open
34
Roest LI, van Heijst SE, Maduro L, Rojo J, Conesa-Boj S. Charting the low-loss region in electron energy loss spectroscopy with machine learning. Ultramicroscopy 2021;222:113202. [PMID: 33453606 DOI: 10.1016/j.ultramic.2021.113202] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Revised: 12/22/2020] [Accepted: 01/05/2021] [Indexed: 11/25/2022]
35
Lidiak A, Gong Z. Unsupervised Machine Learning of Quantum Phase Transitions Using Diffusion Maps. PHYSICAL REVIEW LETTERS 2020;125:225701. [PMID: 33315426 DOI: 10.1103/physrevlett.125.225701] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Accepted: 10/15/2020] [Indexed: 06/12/2023]
36
Zhang YH, Zheng PL, Zhang Y, Deng DL. Topological Quantum Compiling with Reinforcement Learning. PHYSICAL REVIEW LETTERS 2020;125:170501. [PMID: 33156669 DOI: 10.1103/physrevlett.125.170501] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2020] [Revised: 09/08/2020] [Accepted: 09/14/2020] [Indexed: 06/11/2023]
37
Gordon OM, Hodgkinson JEA, Farley SM, Hunsicker EL, Moriarty PJ. Automated Searching and Identification of Self-Organized Nanostructures. NANO LETTERS 2020;20:7688-7693. [PMID: 32866019 DOI: 10.1021/acs.nanolett.0c03213] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/11/2023]
38
Solving optimization tasks in condensed matter. NAT MACH INTELL 2020. [DOI: 10.1038/s42256-020-00240-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
39
Wang D, Wei S, Yuan A, Tian F, Cao K, Zhao Q, Zhang Y, Zhou C, Song X, Xue D, Yang S. Machine Learning Magnetic Parameters from Spin Configurations. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2020;7:2000566. [PMID: 32832350 PMCID: PMC7435232 DOI: 10.1002/advs.202000566] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 05/29/2020] [Indexed: 05/27/2023]
40
Bartkiewicz K, Gneiting C, Černoch A, Jiráková K, Lemr K, Nori F. Experimental kernel-based quantum machine learning in finite feature space. Sci Rep 2020;10:12356. [PMID: 32704032 PMCID: PMC7378258 DOI: 10.1038/s41598-020-68911-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Accepted: 06/24/2020] [Indexed: 11/10/2022]  Open
41
Atomic-scale electronic structure of the cuprate pair density wave state coexisting with superconductivity. Proc Natl Acad Sci U S A 2020;117:14805-14811. [PMID: 32546526 PMCID: PMC7334493 DOI: 10.1073/pnas.2002429117] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]  Open
42
Gordon OM, Moriarty PJ. Machine learning at the (sub)atomic scale: next generation scanning probe microscopy. MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2020. [DOI: 10.1088/2632-2153/ab7d2f] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
43
Ghosh S, Matty M, Baumbach R, Bauer ED, Modic KA, Shekhter A, Mydosh JA, Kim EA, Ramshaw BJ. One-component order parameter in URu2Si2 uncovered by resonant ultrasound spectroscopy and machine learning. SCIENCE ADVANCES 2020;6:eaaz4074. [PMID: 32181367 PMCID: PMC7060057 DOI: 10.1126/sciadv.aaz4074] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Accepted: 12/10/2019] [Indexed: 06/10/2023]
44
Gordon OM, Junqueira FLQ, Moriarty PJ. Embedding human heuristics in machine-learning-enabled probe microscopy. MACHINE LEARNING-SCIENCE AND TECHNOLOGY 2020. [DOI: 10.1088/2632-2153/ab42ec] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
45
Agar JC, Naul B, Pandya S, van der Walt S, Maher J, Ren Y, Chen LQ, Kalinin SV, Vasudevan RK, Cao Y, Bloom JS, Martin LW. Revealing ferroelectric switching character using deep recurrent neural networks. Nat Commun 2019;10:4809. [PMID: 31641122 PMCID: PMC6805893 DOI: 10.1038/s41467-019-12750-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2019] [Accepted: 09/18/2019] [Indexed: 11/22/2022]  Open
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Linking the pseudogap in the cuprates with local symmetry breaking: A commentary. Proc Natl Acad Sci U S A 2019;116:14395-14397. [PMID: 31285324 PMCID: PMC6642401 DOI: 10.1073/pnas.1908786116] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]  Open
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