[1] A Avsar, A Ciarrocchi, M Pizzochero et al. Defect induced, layer-modulated magnetism in ultrathin metallic PtSe2. Nat Nanotechnol, 14, 674(2019).

[2] M Zhou, W Wang, J Lu et al. How defects influence the photoluminescence of TMDCs. Nano Res, 14, 29(2021).

[3] J Jiang, Z Ni. Defect engineering in two-dimensional materials. J Semicond, 40, 070403(2019).

[4] X Chen, F Du, C Wang et al. Direct visualization of breakdown-induced metal migration in enhanced modified lateral silicon-controlled rectifiers. IEEE Trans Electron Devices, 68, 1378(2021).

[5] X Wu, C Luo, P Hao et al. Probing and manipulating the interfacial defects of InGaAs dual-layer metal oxides at the atomic scale. Adv Mater, 30, 1703025(2018).

[6] C Luo, C Wang, X Wu et al. In situ transmission electron microscopy characterization and manipulation of two-dimensional layered materials beyond graphene. Small, 13, 1604259(2017).

[7] R G Mendes, J Pang, A Bachmatiuk et al. Electron-driven in situ transmission electron microscopy of 2D transition metal dichalcogenides and their 2D heterostructures. ACS Nano, 13, 978(2019).

[8] Z Dong, Y Ma. Atomic-level handedness determination of chiral crystals using aberration-corrected scanning transmission electron microscopy. Nat Commun, 11, 1588(2020).

[9] N J Zaluzec. The influence of Cs/Cc correction in analytical imaging and spectroscopy in scanning and transmission electron microscopy. Ultramicroscopy, 151, 240(2015).

[10] Y Lin, M Zhou, X Tai et al. Analytical transmission electron microscopy for emerging advanced materials. Matter, 4, 2309(2021).

[11] J Zhang, Y Yu, P Wang et al. Characterization of atomic defects on the photoluminescence in two-dimensional materials using transmission electron microscope. InfoMat, 1, 85(2019).

[12] B H Kim, J Yang, D Lee et al. Liquid-phase transmission electron microscopy for studying colloidal inorganic nanoparticles. Adv Mater, 30, 1703316(2018).

[13] Z Fan, L Zhang, D Baumann et al. In situ transmission electron microscopy for energy materials and devices. Adv Mater, 31, 1900608(2019).

[14] X Yang, C Luo, X Y Tian et al. A review of in situ transmission electron microscopy study on the switching mechanism and packaging reliability in non-volatile memory. J Semicond, 42, 013102(2021).

[15] C Zhang, K V Larionov, K L Firestein et al. Optomechanical properties of MoSe2 nanosheets as revealed by in situ transmission electron microscopy. Nano Lett, 22, 673(2022).

[16] N de Jonge, L Houben, R E Dunin-Borkowski et al. Resolution and aberration correction in liquid cell transmission electron microscopy. Nat Rev Mater, 4, 61(2019).

[17] H Xu, X Wu, X Tian et al. Dynamic structure-properties characterization and manipulation in advanced nanodevices. Mater Today Nano, 7, 100042(2019).

[18] J S Cai, R Cai, Z T Sun et al. Confining TiO2 nanotubes in PECVD-enabled graphene capsules toward ultrafast K-ion storage: in situ TEM/XRD study and DFT analysis. Nano-Micro Lett, 12, 123(2020).

[19] R B Wang, Z T Song, W X Song et al. Phase-change memory based on matched Ge-Te, Sb-Te, and In-Te octahedrons: Improved electrical performances and robust thermal stability. Infomat, 3, 1008(2021).

[20] Y H Wang, J B Pang, Q L Cheng et al. Applications of 2D-layered palladium diselenide and its van der Waals heterostructures in electronics and optoelectronics. Nano-Micro Lett, 13, 143(2021).

[21] Y L Wu, R R Gaddam, C Zhang et al. Stabilising cobalt sulphide nanocapsules with nitrogen-doped carbon for high-performance sodium-ion storage. Nano-Micro Lett, 12, 48(2020).

[22] H Zhang, Y Yang, H Xu et al. Li4Ti5O12 spinel anode: Fundamentals and advances in rechargeable batteries. Infomat, 4, e12228(2021).

[23] I Ibrahim, J Kalbacova, V Engemaier et al. Confirming the dual role of etchants during the enrichment of semiconducting single wall carbon nanotubes by chemical vapor deposition. Chem Mater, 27, 5964(2015).

[24] J Pang, Y Wang, X Yang et al. A wafer-scale two-dimensional platinum monosulfide ultrathin film via metal sulfurization for high performance photoelectronics. Mater Adv, 3, 1497(2022).

[25] Y Sun, B Sun, J B He et al. Compositional and structural engineering of inorganic nanowires toward advanced properties and applications. Infomat, 1, 496(2019).

[26] J W Wang, Z R Jia, X H Liu et al. Construction of 1D heterostructure NiCo@C/ZnO nanorod with enhanced microwave absorption. Nano-Micro Lett, 13, 175(2021).

[27] B J Yu, S D Liu, W H Xie et al. Versatile core-shell magnetic fluorescent mesoporous microspheres for multilevel latent fingerprints magneto-optic information recognition. Infomat, 4, e12289(2022).

[28] M Schorb, I Haberbosch, W J H Hagen et al. Software tools for automated transmission electron microscopy. Nat Methods, 16, 471(2019).

[29] B Plotkin-Swing, G J Corbin, S De Carlo et al. Hybrid pixel direct detector for electron energy loss spectroscopy. Ultramicroscopy, 217, 113067(2020).

[30] A Maigné, M Wolf. Low-dose electron energy-loss spectroscopy using electron counting direct detectors. Microscopy, 67, i86(2018).

[31] X Chen, L H Zhou, P Wang et al. Effects associated with nanostructure fabrication using in situ liquid cell TEM technology. Nano-Micro Lett, 7, 385(2015).

[32] S Zhang, J B Pang, Q L Cheng et al. High-performance electronics and optoelectronics of monolayer tungsten diselenide full film from pre-seeding strategy. Infomat, 3, 1455(2021).

[33] T Ishida, A Shinozaki, M Kuwahara et al. Performance of a silicon-on-insulator direct electron detector in a low-voltage transmission electron microscope. Microscopy, 70, 321(2021).

[34] C Ophus, J Ciston, J Pierce et al. Efficient linear phase contrast in scanning transmission electron microscopy with matched illumination and detector interferometry. Nat Commun, 7, 10719(2016).

[35] F Hui, C Li, Y H Chen et al. Understanding the structural evolution of Au/WO2.7 compounds in hydrogen atmosphere by atomic scale in situ environmental TEM. Nano Res, 13, 3019(2020).

[36] Y Jiang, Z F Zhang, W T Yuan et al. Recent advances in gas-involved in situ studies via transmission electron microscopy. Nano Res, 11, 42(2018).

[37] Y Wang, X X Peng, A Abelson et al. In situ TEM observation of neck formation during oriented attachment of PbSe nanocrystals. Nano Res, 12, 2549(2019).

[38] B Weng, Y H Jiang, H G Liao et al. Visualizing light-induced dynamic structural transformations of Au clusters-based photocatalyst via in situ TEM. Nano Res, 14, 2805(2021).

[39] Y T Zhu, D D Yuan, H Zhang et al. Atomic-scale insights into the formation of 2D crystals from in situ transmission electron microscopy. Nano Res, 14, 1650(2021).

[40] A Alberti, C Bongiorno, E Smecca et al. Pb clustering and PbI2 nanofragmentation during methylammonium lead iodide perovskite degradation. Nat Commun, 10, 2196(2019).

[41] S R Spurgeon, C Ophus, L Jones et al. Towards data-driven next-generation transmission electron microscopy. Nat Mater, 20, 274(2020).

[42] S V Kalinin, A R Lupini, O Dyck et al. Lab on a beam—Big data and artificial intelligence in scanning transmission electron microscopy. MRS Bull, 44, 565(2019).

[43] F Uesugi, S Koshiya, J Kikkawa et al. Non-negative matrix factorization for mining big data obtained using four-dimensional scanning transmission electron microscopy. Ultramicroscopy, 221, 113168(2021).

[44] O Dyck, M Ziatdinov, D B Lingerfelt et al. Atom-by-atom fabrication with electron beams. Nat Rev Mater, 4, 497(2019).

[45] M Chen, W Dai, S Y Sun et al. Convolutional neural networks for automated annotation of cellular cryo-electron tomograms. Nat Methods, 14, 983(2017).

[46] C H Lee, A Khan, D Luo et al. Deep learning enabled strain mapping of single-atom defects in two-dimensional transition metal dichalcogenides with sub-picometer precision. Nano Lett, 20, 3369(2020).

[47] R K Vasudevan, M Ziatdinov, S Jesse et al. Phases and interfaces from real space atomically resolved data: physics-based deep data image analysis. Nano Lett, 16, 5574(2016).

[48] A Belianinov, Q He, M Kravchenko et al. Identification of phases, symmetries and defects through local crystallography. Nat Commun, 6, 7801(2015).

[49] C T Nelson, R K Vasudevan, X Zhang et al. Exploring physics of ferroelectric domain walls via Bayesian analysis of atomically resolved STEM data. Nat Commun, 11, 6361(2020).

[50] Y LeCun, B Boser, J S Denker et al. Backpropagation applied to handwritten zip code recognition. Neural Comput, 1, 541(1989).

[51] A Krizhevsky, I Sutskever, G E Hinton. ImageNet classification with deep convolutional neural networks. Proceedings of the 25th International Conference on Neural Information Processing Systems - Volume 1, 1097(2012).

[52] O Ronneberger, P Fischer, T Brox. U-Net: convolutional networks for biomedical image segmentation, 234(2015).

[53] Y LeCun, Y Bengio, G Hinton. Deep learning. Nature, 521, 436(2015).

[54] L C Chen, Y Zhu, G Papandreou et al. Encoder-decoder with atrous separable convolution for semantic image segmentation(2018).

[55] M Ge, F Su, Z Zhao et al. Deep learning analysis on microscopic imaging in materials science. Mater Today Nano, 11, 100087(2020).

[56] J Dan, X Zhao, S J Pennycook. A machine perspective of atomic defects in scanning transmission electron microscopy. InfoMat, 1, 359(2019).

[57] W Li, K G Field, D Morgan. Automated defect analysis in electron microscopic images. npj Comput Mater, 4, 36(2018).

[58] A Maksov, O Dyck, K Wang et al. Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2. npj Comput Mater, 5, 12(2019).

[59] J M Ede, R Beanland. Partial scanning transmission electron microscopy with deep learning. Sci Rep, 10, 8332(2020).

[60] C Zhang, J Feng, L R DaCosta et al. Atomic resolution convergent beam electron diffraction analysis using convolutional neural networks. Ultramicroscopy, 210, 112921(2019).

[61] C Wang, Q Zou, Z Cheng et al. Tailoring atomic 1T phase CrTe2 for in situ fabrication. Nanotechnology, 33, 085302(2021).

[62] A Ziletti, D Kumar, M Scheffler et al. Insightful classification of crystal structures using deep learning. Nat Commun, 9, 2775(2018).

[63] L Yao, Z Ou, B Luo et al. Machine learning to reveal nanoparticle dynamics from liquid-phase TEM videos. ACS Cent Sci, 6, 1421(2020).

[64] S H Yang, W Choi, B W Cho et al. Deep learning-assisted quantification of atomic dopants and defects in 2D materials. Adv Sci, 8, 2101099(2021).

[65] K M Roccapriore, M Ziatdinov, S H Cho et al. Predictability of localized plasmonic responses in nanoparticle assemblies. Small, 17, 2100181(2021).

[66] S V Kalinin, O Dyck, S Jesse et al. Exploring order parameters and dynamic processes in disordered systems via variational autoencoders. Sci Adv, 7, eabd5084(2021).

[67] Y Han, J Jang, E Cha et al. Deep learning STEM-EDX tomography of nanocrystals. Nat Mach Intell, 3, 267(2021).

[68] X Wang, J Li, H D Ha et al. Autodetect-mNP: an unsupervised machine learning algorithm for automated analysis of transmission electron microscope images of metal nanoparticles. J Am Chem Soc, 1, 316(2021).

[69] M Ragone, V Yurkiv, B Song et al. Atomic column heights detection in metallic nanoparticles using deep convolutional learning. Comput Mater Sci, 180, 109722(2020).

[70] B Lee, S Yoon, J W Lee et al. Statistical characterization of the morphologies of nanoparticles through machine learning based electron microscopy image analysis. ACS Nano, 14, 17125(2020).

[71] G D Förster, A Castan, A Loiseau et al. A deep learning approach for determining the chiral indices of carbon nanotubes from high-resolution transmission electron microscopy images. Carbon, 169, 465(2020).

[72] M Ziatdinov, O Dyck, A Maksov et al. Deep learning of atomically resolved scanning transmission electron microscopy images: Chemical identification and tracking local transformations. ACS Nano, 11, 12742(2017).

[73] W S Li, H K Ning, Z H Yu et al. Reducing the power consumption of two-dimensional logic transistors. J Semicond, 40, 091002(2019).

[74] J L Wang. A novel spin-FET based on 2D antiferromagnet. J Semicond, 40, 020401(2019).

[75] F Liang, C Wang, C Luo et al. Ferromagnetic CoSe broadband photodetector at room temperature. Nanotechnology, 31, 374002(2020).

[76] H Zhang, X T Jiang, Y L Wang et al. Preface to the special issue on monoelemental 2D semiconducting materials and their applications. J Semicond, 41, 080101(2020).

[77] J S Zhou, J H Yang, Z M Wei. Photodetectors based on 2D material/Si heterostructure. J Semicond, 41, 080401(2020).

[78] N Q Deng, H Tian, J Zhang et al. Black phosphorus junctions and their electrical and optoelectronic applications. J Semicond, 42, 081001(2021).

[79] C L Wang, X Wu, Y H Ma et al. Metallic few-layered VSe2 nanosheets: high two-dimensional conductivity for flexible in-plane solid-state supercapacitors. J Mater Chem A, 6, 8299(2018).

[80] C Wang, X Wu, X Zhang et al. Iron-doped VSe2 nanosheets for enhanced hydrogen evolution reaction. Appl Phys Lett, 116, 223901(2020).

[81] H Qiu, T Xu, Z Wang et al. Hopping transport through defect-induced localized states in molybdenum disulphide. Nat Commun, 4, 2642(2013).

[82] C Wang, M Jin, D Liu et al. VSe2 quantum dots with high-density active edges for flexible efficient hydrogen evolution reaction. J Phys D, 54, 214006(2021).

[83] S Zhang, C G Wang, M Y Li et al. Defect structure of localized excitons in a WSe2 monolayer. Phys Rev Lett, 119, 046101(2017).

[84] X Wang, Y Zhang, H Si et al. Single-atom vacancy defect to trigger high-efficiency hydrogen evolution of MoS2. J Am Chem Soc, 142, 4298(2020).

[85] K Barthelmi, J Klein, A Hötger et al. Atomistic defects as single-photon emitters in atomically thin MoS2. Appl Phys Lett, 117, 070501(2020).

[86] T Susi, J C Meyer, J Kotakoski. Manipulating low-dimensional materials down to the level of single atoms with electron irradiation. Ultramicroscopy, 180, 163(2017).

[87] S J Pennycook, D E Jesson. High-resolution Z-contrast imaging of crystals. Ultramicroscopy, 37, 14(1991).

[88] E D Boyes, A P LaGrow, M R Ward et al. Single atom dynamics in chemical reactions. Acc Chem Res, 53, 390(2020).

[89] R Mi, D Li, Z Hu et al. Morphology effects of CeO2 nanomaterials on the catalytic combustion of toluene: a combined kinetics and diffuse reflectance infrared fourier transform spectroscopy study. ACS Catal, 11, 7876(2021).

[90] B Ni, X Wang. Face the edges: catalytic active sites of nanomaterials. Adv Sci, 2, 1500085(2015).

[91] H M Zheng. Imaging, understanding, and control of nanoscale materials transformations. MRS Bull, 46, 443(2021).

[92] W H Wang, S W Chee, H W Yan et al. Growth dynamics of vertical and lateral layered double hydroxide nanosheets during electrodeposition. Nano Lett, 21, 5977(2021).

[93] F Shi, J Peng, F Li et al. Design of highly durable core−shell catalysts by controlling shell distribution guided by in situ corrosion study. Adv Mater, 33, 2101511(2021).

[94] Z Ou, Z Wang, B Luo et al. Kinetic pathways of crystallization at the nanoscale. Nat Mater, 19, 450(2020).

[95] M R Hauwiller, X Ye, M R Jones et al. Tracking the effects of ligands on oxidative etching of gold nanorods in graphene liquid cell electron microscopy. ACS Nano, 14, 10239(2020).

[96] H Shan, W Gao, Y Xiong et al. Nanoscale kinetics of asymmetrical corrosion in core-shell nanoparticles. Nat Commun, 9, 1011(2018).

[97] H G Liao, D Zherebetskyy, H Xin et al. Facet development during platinum nanocube growth. Science, 345, 916(2014).

[98] F K Wang, S J Yang, T Y Zhai. 2D Bi2Se3 materials for optoelectronics. iScience, 24, 103291(2021).

[99] Q Li, J Lu, P Gupta et al. Engineering optical absorption in graphene and other 2D materials: Advances and applications. Adv Opt Mater, 7, 1900595(2019).

[100] J Qiao, X Kong, Z X Hu et al. High-mobility transport anisotropy and linear dichroism in few-layer black phosphorus. Nat Commun, 5, 4475(2014).

[101] C M O'Leary, C S Allen, C Huang et al. Phase reconstruction using fast binary 4D STEM data. Appl Phys Lett, 116, 124101(2020).

[102] D J Flannigan, A H Zewail. 4D electron microscopy: principles and applications. Acc Chem Res, 45, 1828(2012).

[103] S E Zeltmann, A Muller, K C Bustillo et al. Patterned probes for high precision 4D-STEM bragg measurements. Ultramicroscopy, 209, 112890(2020).

[104] C Koch. Determination of core structure periodicity and point defect density along dislocations(2002).

[105] J Su, M Wang, Y Li et al. Sub-millimeter-scale monolayer p-type H-phase VS2. Adv Funct Mater, 16, 2000240(2020).

[106] Q Ji, C Li, J Wang et al. Metallic vanadium disulfide nanosheets as a platform material for multifunctional electrode applications. Nano Lett, 17, 4908(2017).

[107] L Tao, K Chen, Z Chen et al. Centimeter-scale CVD growth of highly crystalline single-layer MoS2 film with spatial homogeneity and the visualization of grain boundaries. ACS Appl Mater Interfaces, 9, 12073(2017).

[108] M Acerce, D Voiry, M Chhowalla. Metallic 1T phase MoS2 nanosheets as supercapacitor electrode materials. Nat Nanotechnol, 10, 313(2015).

[109] D Teich, G Seifert, S Iijima et al. Helicity in ropes of chiral nanotubes: calculations and observation. Phys Rev Lett, 108, 235501(2012).

[110] M S Y Tang, E P Ng, J C Juan et al. Metallic and semiconducting carbon nanotubes separation using an aqueous two-phase separation technique: a review. Nanotechnology, 27, 332002(2016).

[111] J H Warner, Y C Lin, K He et al. Atomic level spatial variations of energy states along graphene edges. Nano Lett, 14, 6155(2014).

[112] Z W Yin, W Zhao, J Li et al. Advanced electron energy loss spectroscopy for battery studies. Adv Funct Mater, 32, 2107190(2022).

[113] A Pokle, J Coelho, E Macguire et al. EELS probing of lithium based 2D battery compounds processed by liquid phase exfoliation. Nano Energy, 30, 18(2016).

[114] H Ali, C Maynau, L Lajaunie et al. Transmission electron microscopy and electron energy-loss spectroscopy studies of hole-selective molybdenum oxide contacts in silicon solar cells. ACS Appl Mater Interfaces, 11, 43075(2019).

[115] A W Robertson, Y C Lin, S Wang et al. Atomic structure and spectroscopy of single metal (Cr, V) substitutional dopants in monolayer MoS2. ACS Nano, 10, 10227(2016).

[116] Q M Ramasse, C R Seabourne, D M Kepaptsoglou et al. Probing the bonding and electronic structure of single atom dopants in graphene with electron energy loss spectroscopy. Nano Lett, 13, 4989(2013).

[117] W Zhang, D H Seo, T Chen et al. Kinetic pathways of ionic transport in fast-charging lithium titanate. Science, 367, 1030(2020).

[118] F S Hage, G Radtke, D M Kepaptsoglou et al. Single-atom vibrational spectroscopy in the scanning transmission electron microscope. Science, 367, 1124(2020).

[119] Y A U Rehman, L M Po, M Liu. LiveNet: Improving features generalization for face liveness detection using convolution neural networks. Expert Syst Appl, 108, 159(2018).

[120] Z Tong, G Tanaka. Hybrid pooling for enhancement of generalization ability in deep convolutional neural networks. Neurocomputing, 333, 76(2019).

[121] S Zheng, C Wang, X Yuan et al. Super-compression of large electron microscopy time series by deep compressive sensing learning. Patterns, 2, 100292(2021).