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However, these approaches often suffer from computational inefficiency. Here, we propose a two-stage physics-informed neural network framework that decomposes the cross-scale mapping task into two specialized sub-networks. The first stage, the physics-informed geometric mapping network, integrates conformal transformation theory to efficiently encode raw spatial coordinate distributions into a compact set of mapping coefficients. The second stage, the physics-informed partial-wave network, expands the input dimensions to include these geometric descriptors alongside incident field parameters, encompassing the complete state-space of the scattering problem. By embedding the Helmholtz equation and corresponding boundary conditions as explicit physical constraints within the partial-wave expansion framework, the network is guided toward physically consistent solutions: Near-instantaneous and accurate prediction of scalar scattering coefficients for given object\u2013wave configurations, with inference times of approximately 5\u20134\u2009s for physics-informed geometric mapping network and 6.5\u20134\u2009s for physics-informed partial-wave network. The well-trained model is further employed to reconstruct the scattered fields and evaluate the radiation forces in real-world wavelength-order objects. The predicted results basically agree with those obtained from numerical simulations, while achieving significantly improved in computational efficiency.<\/jats:p>","DOI":"10.1121\/10.0044901","type":"journal-article","created":{"date-parts":[[2026,8,13]],"date-time":"2026-08-13T13:03:31Z","timestamp":1786626211000},"page":"1502-1520","update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":0,"title":["Physics-informed learning for end-to-end acoustic scattering of wavelength-order axisymmetric objects: From geometric profiles to acoustic radiation forces"],"prefix":"10.1121","volume":"160","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5343-7455","authenticated-orcid":false,"given":"Tianquan","family":"Tang","sequence":"first","affiliation":[{"name":"School of Mechatronic Engineering and Automation, Foshan University 1 , 33 Guangyun Road, Nanhai District, Foshan,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yanming","family":"Zhang","sequence":"additional","affiliation":[{"name":"Purdue University 2 Elmore Family School of Electrical and Computer Engineering, , West Lafayette, Indiana 47907,","place":["USA"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0087-7510","authenticated-orcid":false,"given":"Lixi","family":"Huang","sequence":"additional","affiliation":[{"name":"Department of Mechanical Engineering, The University of Hong Kong 3 , Pokfulam, Hong Kong SAR,","place":["China"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"231","published-online":{"date-parts":[[2026,8,13]]},"reference":[{"key":"2026081308273830300_c1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/ncomms9661","article-title":"Holographic acoustic elements for manipulation of levitated objects","volume":"6","year":"2015","journal-title":"Nat. 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