--- DOAJ_listed: '1' OA_place: publisher OA_type: gold PlanS_conform: '1' _id: '22248' abstract: - lang: eng text: Many living and artificial systems improve their fitness or performance by adapting to changing environments or diverse training data. However, it remains unclear how environmental variation shapes adaptation, what is learned, and when memory of past conditions is retained. Here we show how cyclic environmental change can produce robust memory. Using a model athermal disordered solid trained by inverse design to attain target elastic properties over a prescribed range, we find that the system evolves toward a marginally absorbing manifold (MAM), meaning that training is reversible within the training range but not beyond it, which encodes a memory of that range. We further propose a general mechanism for MAM formation and memory encoding based on discontinuities in the gradient of the trained quantity. These results provide a simple, broadly applicable physical framework for how adaptive systems learn under changing environments and retain memory of past conditions. acknowledgement: "We thank Nathan Keim, Aayush Desai, Nicholas Barton,\r\nand Gašper Tkacik for important and stimulating discussions. ˇ\r\nThe work was funded by the Institute of Science and Technology Austria." article_number: '023029' article_processing_charge: Yes article_type: original author: - first_name: Mengjie full_name: Zu, Mengjie id: 26dd9e7c-e86a-11eb-a854-82ac731c9ae2 last_name: Zu - first_name: Carl Peter full_name: Goodrich, Carl Peter id: EB352CD2-F68A-11E9-89C5-A432E6697425 last_name: Goodrich orcid: 0000-0002-1307-5074 citation: ama: 'Zu M, Goodrich CP. Learning by Training: Emergent physical memory from cyclically tuning disordered sphere packings. PRX Life. 2026;4(2). doi:10.1103/48k2-cw3b' apa: 'Zu, M., & Goodrich, C. P. (2026). Learning by Training: Emergent physical memory from cyclically tuning disordered sphere packings. PRX Life. American Physical Society. https://doi.org/10.1103/48k2-cw3b' chicago: 'Zu, Mengjie, and Carl Peter Goodrich. “Learning by Training: Emergent Physical Memory from Cyclically Tuning Disordered Sphere Packings.” PRX Life. American Physical Society, 2026. https://doi.org/10.1103/48k2-cw3b.' ieee: 'M. Zu and C. P. Goodrich, “Learning by Training: Emergent physical memory from cyclically tuning disordered sphere packings,” PRX Life, vol. 4, no. 2. American Physical Society, 2026.' ista: 'Zu M, Goodrich CP. 2026. Learning by Training: Emergent physical memory from cyclically tuning disordered sphere packings. PRX Life. 4(2), 023029.' mla: 'Zu, Mengjie, and Carl Peter Goodrich. “Learning by Training: Emergent Physical Memory from Cyclically Tuning Disordered Sphere Packings.” PRX Life, vol. 4, no. 2, 023029, American Physical Society, 2026, doi:10.1103/48k2-cw3b.' short: M. Zu, C.P. Goodrich, PRX Life 4 (2026). corr_author: '1' das_tickbox: '1' dataavailabilitystatement: "The data that support the findings of this article are not\r\npublicly available. The data are available from the authors\r\nupon reasonable request." date_created: 2026-07-05T22:01:37Z date_published: 2026-06-18T00:00:00Z date_updated: 2026-07-06T07:28:45Z day: '18' ddc: - '570' department: - _id: CaGo doi: 10.1103/48k2-cw3b file: - access_level: open_access checksum: e2d13c30bf9c036951fd2ba3455cf72a content_type: application/pdf creator: dernst date_created: 2026-07-06T07:24:43Z date_updated: 2026-07-06T07:24:43Z file_id: '22251' file_name: 2026_PRXLife_Zu.pdf file_size: 2758728 relation: main_file success: 1 file_date_updated: 2026-07-06T07:24:43Z fulldoi: https://doi.org/10.1103/48k2-cw3b has_accepted_license: '1' intvolume: ' 4' issue: '2' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '06' oa: 1 oa_version: Published Version publication: PRX Life publication_identifier: eissn: - 2835-8279 publication_status: published publisher: American Physical Society quality_controlled: '1' researchdata_availability: upon request scopus_import: '1' status: public supplementarymaterial: no title: 'Learning by Training: Emergent physical memory from cyclically tuning disordered sphere packings' tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 4 year: '2026' ... --- DOAJ_listed: '1' OA_place: publisher OA_type: gold PlanS_conform: '1' _id: '22288' abstract: - lang: eng text: Soft solids and their surface deformations control the response of many natural and artificial systems. Yet, their underlying properties are vigorously debated, particularly for polymer networks. While molecular-scale theories predict no interfacial changes with macroscopic deformation, multiple experiments suggest otherwise. To settle this issue, we measure displacement fields near the interface of a silicone gel, in the limit of small deformations. We discover an unexpected multiscale response. The shear modulus decreases smoothly by half with 20  μ⁢m of the interface. At the same time we observe a surface excess elasticity, that depends on history and outer medium composition. These results reveal the fundamentally multiscale nature of polymeric surfaces, and call for further experimental and theoretical investigations into the basic understanding of soft solid interfaces. acknowledgement: The authors thank Katharine Jensen, Stefanie Heyden, Thomas Salez, Francesco Stellacci, Denis Bartolo, Francesco Picella, Hélène Delanoë-Ayari, Mathieu Leocmach, Antoine Bérut, Cécile Cottin-Bizonne, Anne-Laure Biance, and Oriane Talabart for useful discussions. We also thank the reviewers for excellent suggestions that substantively improved the manuscript. article_number: '021063' article_processing_charge: Yes article_type: original arxiv: 1 author: - first_name: Nicolas full_name: Bain, Nicolas last_name: Bain - first_name: Lawrence A. full_name: Wilen, Lawrence A. last_name: Wilen - first_name: Dominic full_name: Gerber, Dominic last_name: Gerber - first_name: Mengjie full_name: Zu, Mengjie id: 26dd9e7c-e86a-11eb-a854-82ac731c9ae2 last_name: Zu - first_name: Carl Peter full_name: Goodrich, Carl Peter id: EB352CD2-F68A-11E9-89C5-A432E6697425 last_name: Goodrich orcid: 0000-0002-1307-5074 - first_name: Senthilkumar full_name: Duraivel, Senthilkumar last_name: Duraivel - first_name: Kaarthik full_name: Varma, Kaarthik last_name: Varma - first_name: Harsha full_name: Koganti, Harsha last_name: Koganti - first_name: Robert W. full_name: Style, Robert W. last_name: Style - first_name: Eric R. full_name: Dufresne, Eric R. last_name: Dufresne citation: ama: Bain N, Wilen LA, Gerber D, et al. Multiscale interfacial mechanics of soft solids. Physical Review X. 2026;16(2). doi:10.1103/8msx-l8s7 apa: Bain, N., Wilen, L. A., Gerber, D., Zu, M., Goodrich, C. P., Duraivel, S., … Dufresne, E. R. (2026). Multiscale interfacial mechanics of soft solids. Physical Review X. American Physical Society. https://doi.org/10.1103/8msx-l8s7 chicago: Bain, Nicolas, Lawrence A. Wilen, Dominic Gerber, Mengjie Zu, Carl Peter Goodrich, Senthilkumar Duraivel, Kaarthik Varma, Harsha Koganti, Robert W. Style, and Eric R. Dufresne. “Multiscale Interfacial Mechanics of Soft Solids.” Physical Review X. American Physical Society, 2026. https://doi.org/10.1103/8msx-l8s7. ieee: N. Bain et al., “Multiscale interfacial mechanics of soft solids,” Physical Review X, vol. 16, no. 2. American Physical Society, 2026. ista: Bain N, Wilen LA, Gerber D, Zu M, Goodrich CP, Duraivel S, Varma K, Koganti H, Style RW, Dufresne ER. 2026. Multiscale interfacial mechanics of soft solids. Physical Review X. 16(2), 021063. mla: Bain, Nicolas, et al. “Multiscale Interfacial Mechanics of Soft Solids.” Physical Review X, vol. 16, no. 2, 021063, American Physical Society, 2026, doi:10.1103/8msx-l8s7. short: N. Bain, L.A. Wilen, D. Gerber, M. Zu, C.P. Goodrich, S. Duraivel, K. Varma, H. Koganti, R.W. Style, E.R. Dufresne, Physical Review X 16 (2026). das_tickbox: '1' dataavailabilitystatement: The data that support the findings of this article are openly available https://github.com/nicobain/Multiscale_interfacial_mechanics_soft_solids_data date_created: 2026-07-13T09:40:54Z date_published: 2026-06-30T00:00:00Z date_updated: 2026-07-13T11:17:51Z day: '30' ddc: - '530' department: - _id: CaGo doi: 10.1103/8msx-l8s7 external_id: arxiv: - '2410.09158' file: - access_level: open_access checksum: 47354f40981223fb0c9afe292f16ead1 content_type: application/pdf creator: dernst date_created: 2026-07-13T11:16:47Z date_updated: 2026-07-13T11:16:47Z file_id: '22309' file_name: 2026_PhysicalReviewX_Bain.pdf file_size: 4367284 relation: main_file success: 1 file_date_updated: 2026-07-13T11:16:47Z fulldoi: https://doi.org/10.1103/8msx-l8s7 has_accepted_license: '1' intvolume: ' 16' issue: '2' language: - iso: eng month: '06' oa: 1 oa_version: Published Version publication: Physical Review X publication_identifier: issn: - 2160-3308 publication_status: published publisher: American Physical Society quality_controlled: '1' researchdata_availability: yes scopus_import: '1' status: public supplementarymaterial: yes title: Multiscale interfacial mechanics of soft solids tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 16 year: '2026' ... --- OA_place: repository OA_type: green _id: '21237' abstract: - lang: eng text: Intelligent soft matter lies at the intersection of materials science, physics, and cognitive science, promising to change how we design and interact with materials. This transformative field aims to create materials with life-like capabilities, such as perception, learning, memory, and adaptive behavior. Unlike traditional materials, which typically perform static or predefined functions, intelligent soft matter can dynamically interact with its environment, integrating multiple sensory inputs, retaining past experiences, and making decisions to optimize its responses. Inspired by biological systems, these materials leverage the inherent properties of soft matter such as flexibility, adaptability, and responsiveness to perform functions that mimic cognitive processes. By synthesizing current research trends and projecting their evolution, we present a forward-looking perspective on how intelligent soft matter could be constructed, with the aim of inspiring innovations in areas such as biomedical devices, adaptive robotics, and beyond. We highlight new pathways for integrating sensing, memory and actuation with low-power internal operations, and we discuss key challenges in realizing materials that exhibit truly “intelligent behavior”. These approaches outline a path toward more robust, versatile, and scalable materials that can potentially act, compute, and “think” through their inherent intrinsic material properties—moving beyond traditional smart technologies that rely on external control. acknowledgement: 'The work is the result of the SoftComp Topical workshop on Intelligent Soft Matter, Salou 2025 (https://softmat.net/intelligent-soft-matter/) financed by SoftComp Network of Excellence (https://eu-softcomp.net/). Various AI tools were used for preparation of the manuscript: language models Google Gemini 2.0 series and Discovery Engine (https://explore-the-unknown.vercel.app) for literature processing, structuring contributions, finding concept overlaps and summarizing according to procedure explained in https://github.com/vbaulin/IntelliDE/.' article_processing_charge: No article_type: review author: - first_name: Vladimir A. full_name: Baulin, Vladimir A. last_name: Baulin - first_name: Achille full_name: Giacometti, Achille last_name: Giacometti - first_name: Dmitry A. full_name: Fedosov, Dmitry A. last_name: Fedosov - first_name: Stephen full_name: Ebbens, Stephen last_name: Ebbens - first_name: Nydia R. full_name: Varela-Rosales, Nydia R. last_name: Varela-Rosales - first_name: Neus full_name: Feliu, Neus last_name: Feliu - first_name: Mithun full_name: Chowdhury, Mithun last_name: Chowdhury - first_name: Minghan full_name: Hu, Minghan last_name: Hu - first_name: Rudolf full_name: Füchslin, Rudolf last_name: Füchslin - first_name: Marjolein full_name: Dijkstra, Marjolein last_name: Dijkstra - first_name: Matan full_name: Mussel, Matan last_name: Mussel - first_name: René full_name: van Roij, René last_name: van Roij - first_name: Dong full_name: Xie, Dong last_name: Xie - first_name: Vassil full_name: Tzanov, Vassil last_name: Tzanov - first_name: Mengjie full_name: Zu, Mengjie id: 26dd9e7c-e86a-11eb-a854-82ac731c9ae2 last_name: Zu - first_name: Samuel full_name: Hidalgo-Caballero, Samuel last_name: Hidalgo-Caballero - first_name: Ye full_name: Yuan, Ye last_name: Yuan - first_name: Luca full_name: Cocconi, Luca last_name: Cocconi - first_name: Cheol-Min full_name: Ghim, Cheol-Min last_name: Ghim - first_name: Cécile full_name: Cottin-Bizonne, Cécile last_name: Cottin-Bizonne - first_name: M. Carmen full_name: Miguel, M. Carmen last_name: Miguel - first_name: Maria Jose full_name: Esplandiu, Maria Jose last_name: Esplandiu - first_name: Juliane full_name: Simmchen, Juliane last_name: Simmchen - first_name: Wolfgang J. full_name: Parak, Wolfgang J. last_name: Parak - first_name: Marco full_name: Werner, Marco last_name: Werner - first_name: Gerhard full_name: Gompper, Gerhard last_name: Gompper - first_name: Martin M. full_name: Hanczyc, Martin M. last_name: Hanczyc citation: ama: 'Baulin VA, Giacometti A, Fedosov DA, et al. Intelligent soft matter: Towards embodied intelligence. Soft Matter. 2025;(21):4129-4145. doi:10.1039/d5sm00174a' apa: 'Baulin, V. A., Giacometti, A., Fedosov, D. A., Ebbens, S., Varela-Rosales, N. R., Feliu, N., … Hanczyc, M. M. (2025). Intelligent soft matter: Towards embodied intelligence. Soft Matter. Royal Society of Chemistry. https://doi.org/10.1039/d5sm00174a' chicago: 'Baulin, Vladimir A., Achille Giacometti, Dmitry A. Fedosov, Stephen Ebbens, Nydia R. Varela-Rosales, Neus Feliu, Mithun Chowdhury, et al. “Intelligent Soft Matter: Towards Embodied Intelligence.” Soft Matter. Royal Society of Chemistry, 2025. https://doi.org/10.1039/d5sm00174a.' ieee: 'V. A. Baulin et al., “Intelligent soft matter: Towards embodied intelligence,” Soft Matter, no. 21. Royal Society of Chemistry, pp. 4129–4145, 2025.' ista: 'Baulin VA, Giacometti A, Fedosov DA, Ebbens S, Varela-Rosales NR, Feliu N, Chowdhury M, Hu M, Füchslin R, Dijkstra M, Mussel M, van Roij R, Xie D, Tzanov V, Zu M, Hidalgo-Caballero S, Yuan Y, Cocconi L, Ghim C-M, Cottin-Bizonne C, Miguel MC, Esplandiu MJ, Simmchen J, Parak WJ, Werner M, Gompper G, Hanczyc MM. 2025. Intelligent soft matter: Towards embodied intelligence. Soft Matter. (21), 4129–4145.' mla: 'Baulin, Vladimir A., et al. “Intelligent Soft Matter: Towards Embodied Intelligence.” Soft Matter, no. 21, Royal Society of Chemistry, 2025, pp. 4129–45, doi:10.1039/d5sm00174a.' short: V.A. Baulin, A. Giacometti, D.A. Fedosov, S. Ebbens, N.R. Varela-Rosales, N. Feliu, M. Chowdhury, M. Hu, R. Füchslin, M. Dijkstra, M. Mussel, R. van Roij, D. Xie, V. Tzanov, M. Zu, S. Hidalgo-Caballero, Y. Yuan, L. Cocconi, C.-M. Ghim, C. Cottin-Bizonne, M.C. Miguel, M.J. Esplandiu, J. Simmchen, W.J. Parak, M. Werner, G. Gompper, M.M. Hanczyc, Soft Matter (2025) 4129–4145. date_created: 2026-02-16T15:03:08Z date_published: 2025-06-07T00:00:00Z date_updated: 2026-02-17T11:27:48Z day: '07' department: - _id: CaGo doi: 10.1039/d5sm00174a external_id: pmid: - '40358970' fulldoi: https://doi.org/10.1039/d5sm00174a issue: '21' language: - iso: eng main_file_link: - open_access: '1' url: https://eprints.whiterose.ac.uk/id/eprint/226553/4/Perspective_v6_clean.pdf month: '06' oa: 1 oa_version: Submitted Version page: 4129-4145 pmid: 1 publication: Soft Matter publication_identifier: eissn: - 1744-6848 issn: - 1744-683X publication_status: published publisher: Royal Society of Chemistry quality_controlled: '1' status: public title: 'Intelligent soft matter: Towards embodied intelligence' type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2025' ... --- OA_place: publisher OA_type: hybrid _id: '19856' abstract: - lang: eng text: Unlike in crystals, it is difficult to trace emergent material properties of amorphous solids to their underlying structure. Nevertheless, one can tune features of a disordered spring network, ranging from bulk elastic constants to specific allosteric responses, through highly precise alterations of the structure. This has been understood through the notion of independent bond-level response—the observation that, in many cases, different springs have different effects on different properties. While this idea has motivated inverse design in numerous contexts, it has not been formalized and quantified in a general context that not just informs but enables and predicts inverse design. Here, we show how to quantify independent response by linearizing the simultaneous change in multiple emergent features, and introduce the much stronger notion of fully independent response. Remarkably, we find that the mechanical properties of disordered solids are always fully independent across a wide array of scenarios, regardless of the target features, tunable parameters, system size, dimensionality, and class of interactions. Furthermore, our formulation quantifies the susceptibility of features to parameter changes, which is correlated with the maximum linear tunability. We also demonstrate the implications for multifeature inverse design beyond the linear regime. These results formalize our understanding of a key fundamental difference between ordered and disordered solids while also creating a practical tool to both understand and perform inverse design. acknowledgement: We gratefully acknowledge Edouard Hannezo for helpful comments on the manuscript. The work was funded by the Institute of Science and Technology Austria. article_number: '238201' article_processing_charge: Yes (via OA deal) article_type: original arxiv: 1 author: - first_name: Mengjie full_name: Zu, Mengjie id: 26dd9e7c-e86a-11eb-a854-82ac731c9ae2 last_name: Zu - first_name: Aayush A full_name: Desai, Aayush A id: 502cfd30-32c1-11ee-a9a4-d8dad5c6739e last_name: Desai - first_name: Carl Peter full_name: Goodrich, Carl Peter id: EB352CD2-F68A-11E9-89C5-A432E6697425 last_name: Goodrich orcid: 0000-0002-1307-5074 citation: ama: Zu M, Desai AA, Goodrich CP. Fully independent response in disordered solids. Physical Review Letters. 2025;134(23). doi:10.1103/PhysRevLett.134.238201 apa: Zu, M., Desai, A. A., & Goodrich, C. P. (2025). Fully independent response in disordered solids. Physical Review Letters. American Physical Society. https://doi.org/10.1103/PhysRevLett.134.238201 chicago: Zu, Mengjie, Aayush A Desai, and Carl Peter Goodrich. “Fully Independent Response in Disordered Solids.” Physical Review Letters. American Physical Society, 2025. https://doi.org/10.1103/PhysRevLett.134.238201. ieee: M. Zu, A. A. Desai, and C. P. Goodrich, “Fully independent response in disordered solids,” Physical Review Letters, vol. 134, no. 23. American Physical Society, 2025. ista: Zu M, Desai AA, Goodrich CP. 2025. Fully independent response in disordered solids. Physical Review Letters. 134(23), 238201. mla: Zu, Mengjie, et al. “Fully Independent Response in Disordered Solids.” Physical Review Letters, vol. 134, no. 23, 238201, American Physical Society, 2025, doi:10.1103/PhysRevLett.134.238201. short: M. Zu, A.A. Desai, C.P. Goodrich, Physical Review Letters 134 (2025). corr_author: '1' date_created: 2025-06-22T22:02:06Z date_published: 2025-06-13T00:00:00Z date_updated: 2026-04-28T13:28:02Z day: '13' ddc: - '530' department: - _id: CaGo - _id: IlCa doi: 10.1103/PhysRevLett.134.238201 external_id: arxiv: - '2412.05031' isi: - '001509005900006' file: - access_level: open_access checksum: 040b6779c91aac62c15a9b2cc417b360 content_type: application/pdf creator: dernst date_created: 2025-06-23T11:41:08Z date_updated: 2025-06-23T11:41:08Z file_id: '19874' file_name: 2025_PhysReviewLetters_Zu.pdf file_size: 1132625 relation: main_file success: 1 file_date_updated: 2025-06-23T11:41:08Z fulldoi: https://doi.org/10.1103/PhysRevLett.134.238201 has_accepted_license: '1' intvolume: ' 134' isi: 1 issue: '23' language: - iso: eng month: '06' oa: 1 oa_version: Published Version publication: Physical Review Letters publication_identifier: eissn: - 1079-7114 issn: - 0031-9007 publication_status: published publisher: American Physical Society quality_controlled: '1' related_material: link: - description: News on ISTA website relation: press_release url: https://ista.ac.at/en/news/infinite-diversity-in-infinite-combinations/ scopus_import: '1' status: public title: Fully independent response in disordered solids tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: ba8df636-2132-11f1-aed0-ed93e2281fdd volume: 134 year: '2025' ... --- APC_amount: 3534 EUR OA_place: publisher OA_type: gold _id: '17407' abstract: - lang: eng text: The ability to control forces between sub-micron-scale building blocks offers significant potential for designing new materials through self-assembly. Traditionally, this involves identifying a crystal structure with a desired property and then designing building-block interactions so that it assembles spontaneously. However, this paradigm fails for structurally disordered solids, which lack a well-defined structure. Here, we show that disordered solids can still be treated from an inverse self-assembly perspective by bypassing structure and directly targeting material properties. Using the Poisson’s ratio as a primary example, we demonstrate how differentiable programming links interaction parameters with emergent behavior, enabling iterative training to achieve the desired Poisson’s ratio. We also tune other properties, including pressure and local 8-fold structural order, and can even control multiple properties simultaneously. This robust, transferable, and scalable approach can handle a wide variety of systems and properties, demonstrating the utility of disordered solids as a practical avenue for self-assembly platforms. acknowledgement: We thank M. Lechner for helpful discussions. article_number: '141' article_processing_charge: Yes article_type: original arxiv: 1 author: - first_name: Mengjie full_name: Zu, Mengjie id: 26dd9e7c-e86a-11eb-a854-82ac731c9ae2 last_name: Zu - first_name: Carl Peter full_name: Goodrich, Carl Peter id: EB352CD2-F68A-11E9-89C5-A432E6697425 last_name: Goodrich orcid: 0000-0002-1307-5074 citation: ama: Zu M, Goodrich CP. Designing athermal disordered solids with automatic differentiation. Communications Materials. 2024;5. doi:10.1038/s43246-024-00583-4 apa: Zu, M., & Goodrich, C. P. (2024). Designing athermal disordered solids with automatic differentiation. Communications Materials. Springer Nature. https://doi.org/10.1038/s43246-024-00583-4 chicago: Zu, Mengjie, and Carl Peter Goodrich. “Designing Athermal Disordered Solids with Automatic Differentiation.” Communications Materials. Springer Nature, 2024. https://doi.org/10.1038/s43246-024-00583-4. ieee: M. Zu and C. P. Goodrich, “Designing athermal disordered solids with automatic differentiation,” Communications Materials, vol. 5. Springer Nature, 2024. ista: Zu M, Goodrich CP. 2024. Designing athermal disordered solids with automatic differentiation. Communications Materials. 5, 141. mla: Zu, Mengjie, and Carl Peter Goodrich. “Designing Athermal Disordered Solids with Automatic Differentiation.” Communications Materials, vol. 5, 141, Springer Nature, 2024, doi:10.1038/s43246-024-00583-4. short: M. Zu, C.P. Goodrich, Communications Materials 5 (2024). corr_author: '1' das_tickbox: '1' dataavailabilitystatement: The authors declare that the data supporting the findings of this study are available within the paper and its Supplementary Information files date_created: 2024-08-11T22:01:11Z date_published: 2024-08-01T00:00:00Z date_updated: 2026-10-01T08:28:59Z day: '01' ddc: - '530' department: - _id: CaGo doi: 10.1038/s43246-024-00583-4 external_id: arxiv: - '2404.15101' file: - access_level: open_access checksum: d6f74e242db5f46bb0e380ee23a268af content_type: application/pdf creator: dernst date_created: 2024-08-12T07:56:38Z date_updated: 2024-08-12T07:56:38Z file_id: '17416' file_name: 2024_CommMaterials_Zu.pdf file_size: 9824134 relation: main_file success: 1 file_date_updated: 2024-08-12T07:56:38Z fulldoi: https://doi.org/10.1038/s43246-024-00583-4 has_accepted_license: '1' intvolume: ' 5' language: - iso: eng month: '08' oa: 1 oa_version: Published Version project: - _id: B67AFEDC-15C9-11EA-A837-991A96BB2854 name: IST Austria Open Access Fund publication: Communications Materials publication_identifier: eissn: - 2662-4443 publication_status: published publisher: Springer Nature quality_controlled: '1' researchdata_availability: yes (supplementary data) scopus_import: '1' status: public supplementarymaterial: yes title: Designing athermal disordered solids with automatic differentiation tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: 317138e5-6ab7-11ef-aa6d-ffef3953e345 volume: 5 year: '2024' ...