{"title":"Integrating physics and topology in neural networks for learning rigid body dynamics","authors":"Amaury Wei, Olga Fink","doi":"10.1038/s41467-025-62250-7","DOIUrl":"https://doi.org/10.1038/s41467-025-62250-7","url":null,"abstract":"<p>Rigid body interactions are fundamental to numerous scientific disciplines, but remain challenging to simulate due to their abrupt nonlinear nature and sensitivity to complex, often unknown environmental factors. These challenges call for adaptable learning-based methods capable of capturing complex interactions beyond explicit physical models and simulations. While graph neural networks can handle simple scenarios, they struggle with complex scenes and long-term predictions. We introduce a novel framework for modeling rigid body dynamics and learning collision interactions, addressing key limitations of existing graph-based methods. Our approach extends the traditional representation of meshes by incorporating higher-order topology complexes, offering a physically consistent representation. Additionally, we propose a physics-informed message-passing neural architecture, embedding physical laws directly in the model. Our method demonstrates superior accuracy, even during long rollouts, and exhibits strong generalization to unseen scenarios. Importantly, this work addresses the challenge of multi-entity dynamic interactions, with applications spanning diverse scientific and engineering domains.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"14 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144701620","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optically programable quasi phase matching in four-wave mixing","authors":"Gil Bashan, Avishay Eyal, Moshe Tur, Ady Arie","doi":"10.1038/s41467-025-62025-0","DOIUrl":"https://doi.org/10.1038/s41467-025-62025-0","url":null,"abstract":"<p>Quasi-phase matching (QPM) enhances nonlinear optical processes by compensating for phase mismatch, but traditional methods require permanent material modifications, limiting applicability in centrosymmetric media like standard optical fibers. We introduce the first efficient, optically controlled QPM in perturbative nonlinear optics, achieved through temporal modulation of counter-propagating pump waves. This induces a dynamic spatial modulation of nonlinear polarization in a polarization-maintaining fiber, enabling spatiotemporal QPM for four-wave mixing without altering the medium. We demonstrate broadband wavelength conversion across 298 nm—including the C- and L-bands of optical telecommunications—with a conversion efficiency of 5.4%. Our results also show tunable spectral shaping and wavelength agility through simple control of the pump waves. This reconfigurable, all-optical technique not only overcomes limitations of conventional QPM but also opens new possibilities for adaptable nonlinear optics. Potential applications span classical data processing, fiber sensing, quantum state control, and robust frequency conversion in dynamically programmable photonic systems.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"1 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144701817","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Maximized circularly polarized luminescence from metal clusters accelerates chiral photopolymerization","authors":"Chong Zhang, Shan Guan, Zhi-Min Zhang, Bai-Yu Wu, Zhen Han, Shuang-Quan Zang","doi":"10.1038/s41467-025-62232-9","DOIUrl":"https://doi.org/10.1038/s41467-025-62232-9","url":null,"abstract":"<p>The practical application of the circularly polarized luminescence (CPL) emitted from chiral substances faces significant hurdles, primarily due to the small luminescence dissymmetry factor (<i>g</i><sub>lum</sub>) and low photoluminescence quantum yield (PLQY). Herein, we demonstrate a hierarchical system in which metal clusters exhibit excellent CPL performance, with both excellent <i>g</i><sub>lum</sub> factors and high PLQYs, thereby triggering enantioselective photopolymerization. Their CPL activities are sequentially amplified in different assembly forms induced by liquid crystals (LCs), and the maximum <i>g</i><sub>lum</sub> factor is increased by 1240 times, reaching a value of 1.24. The PLQYs of the metal clusters in different assembled states are sharply enhanced compared to that in the discrete state. Benefiting from the CPL performance of the metal clusters, their CPL was used to remotely regulate enantioselective polymerization, thus realizing light-to-matter chirality transfer. Impressively, upon incorporation of achiral luminophores, the polymer system is endowed with CPL through sequential chirality transfer. These innovative achievements open new avenues for the design and cutting-edge application of CPL-active metal clusters.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"21 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144701824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yingzhu Zi, Anjun Huang, Heping Zhao, Xue Bai, Yue Liu, Yangke Cun, Zhiguo Song, Jianbei Qiu, Yang Shen, Ji Zhou, Zhengwen Yang
{"title":"Force-light-heat stimulation-induced multicolor chromism and multifunctional applications of europium tungstate phosphor","authors":"Yingzhu Zi, Anjun Huang, Heping Zhao, Xue Bai, Yue Liu, Yangke Cun, Zhiguo Song, Jianbei Qiu, Yang Shen, Ji Zhou, Zhengwen Yang","doi":"10.1038/s41467-025-62167-1","DOIUrl":"https://doi.org/10.1038/s41467-025-62167-1","url":null,"abstract":"<p>Stimulus-responsive chromogenic luminescent materials are promising for security and optical storage, yet force-induced color change in inorganic materials remains rarely reported. Here we report a europium tungstate that exhibits mechanochromism, driven by pressure-induced tungsten valence transformation and color center formation. The sample color shifts from orange to black with increasing pressure, accompanied by a linear variation in reflectance. A luminescence modulation rate of 100% for Eu<sup>3+</sup> is achieved due to the strong reabsorption of the black state. Negative photochromism, switching from black/orange to white, occurs under laser irradiation or heating via the reversible phase transition between EuWO<sub>4</sub> and Eu<sub>2</sub>W<sub>2</sub>O<sub>9</sub>. The luminescence modulation is attributed to the synergistic effects of body color reabsorption and nonradiative transitions. Our work demonstrates a robust inorganic material responsive to force, light, and heat, offering versatile functionality for pressure sensing, anti-counterfeiting, and optical storage, and provides a design strategy for multicolor chromogenic materials.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"90 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144701561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ancestral sequence reconstruction as a tool for structural analysis of modular polyketide synthases","authors":"Taichi Chisuga, Shota Takinami, Zengwei Liao, Masayuki Karasawa, Naruhiko Adachi, Masato Kawasaki, Toshio Moriya, Toshiya Senda, Tohru Terada, Fumitaka Kudo, Tadashi Eguchi, Shogo Nakano, Sohei Ito, Akimasa Miyanaga","doi":"10.1038/s41467-025-62168-0","DOIUrl":"https://doi.org/10.1038/s41467-025-62168-0","url":null,"abstract":"<p>Modular polyketide synthases (PKSs) are large multi-domain enzymes critical for the biosynthesis of polyketide antibiotics. However, challenges with structural analysis limits our mechanistic understanding of modular PKSs. In this report, we explore the potential of ancestral sequence reconstruction (ASR) for structure analysis of target proteins. As a model, we focus on the FD-891 PKS loading module composed of ketosynthase-like decarboxylase (KS<sub>Q</sub>), acyltransferase (AT) and acyl carrier protein (ACP) domains. We construct a KS<sub>Q</sub>AncAT chimeric didomain by replacing the native AT with an ancestral AT (AncAT) using ASR. After confirming that KS<sub>Q</sub>AncAT chimeric didomain retains similar enzymatic function to the native KS<sub>Q</sub>AT didomain, we successfully determine a high-resolution crystal structure of the KS<sub>Q</sub>AncAT chimeric didomain and cryo-EM structures of the KS<sub>Q</sub>–ACP complex. These cryo-EM structures, which could not be determined for the native protein, exemplify the utility of ASR to enable cryo-EM single-particle analysis. Our findings demonstrate that integrating ASR with structural analysis provides deeper mechanistic insight into modular PKSs. Furthermore, applying ASR to a partial region of the targeted multi-domain proteins could expand the potential of ASR and may serve as a valuable framework for investigating the structure and function of various multi-domain proteins.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"90 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144701576","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nicolas M. B. Brancucci, Christin Gumpp, Geert-Jan van Gemert, Xiao Yu, Armin Passecker, Flore Nardella, Basil T. Thommen, Marc Chambon, Gerardo Turcatti, Ludovic Halby, Benjamin Blasco, Maëlle Duffey, Paola B. Arimondo, Teun Bousema, Artur Scherf, Didier Leroy, Taco W. A. Kooij, Matthias Rottmann, Till S. Voss
{"title":"An all-in-one pipeline for the in vitro discovery and in vivo testing of Plasmodium falciparum malaria transmission blocking drugs","authors":"Nicolas M. B. Brancucci, Christin Gumpp, Geert-Jan van Gemert, Xiao Yu, Armin Passecker, Flore Nardella, Basil T. Thommen, Marc Chambon, Gerardo Turcatti, Ludovic Halby, Benjamin Blasco, Maëlle Duffey, Paola B. Arimondo, Teun Bousema, Artur Scherf, Didier Leroy, Taco W. A. Kooij, Matthias Rottmann, Till S. Voss","doi":"10.1038/s41467-025-62014-3","DOIUrl":"https://doi.org/10.1038/s41467-025-62014-3","url":null,"abstract":"<p>Elimination of malaria will require new drugs with potent activity against <i>Plasmodium falciparum</i> mature stage V gametocytes, the only stages infective to the mosquito vector. The identification and comprehensive validation of molecules active against these quiescent stages is difficult due to the specific biology of gametocytes, challenges linked to their cultivation in vitro and the lack of animal models suitable for evaluating the transmission-blocking potential of drug candidates in vivo. Here, we present a transmission-blocking drug discovery and development platform that builds on transgenic NF54/iGP1_RE9H<sup>ulg8</sup> parasites engineered to conditionally produce large numbers of stage V gametocytes expressing a red-shifted firefly luciferase viability reporter. Besides developing a robust in vitro screening assay for the reliable identification of stage V gametocytocidal compounds, we also establish a preclinical in vivo malaria transmission model based on infecting female humanized NODscidIL2Rγ<sup>null</sup> mice with pure NF54/iGP1_RE9H<sup>ulg8</sup> stage V gametocytes. Using whole animal bioluminescence imaging, we assess the in vivo gametocyte killing and clearance kinetics of antimalarial reference drugs and clinical drug candidates and identify markedly different pharmacodynamic response profiles. Finally, we combine this mouse model with mosquito feeding assays and thus firmly establish a valuable tool for the systematic in vivo evaluation of transmission-blocking drug efficacy.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"22 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144710670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Guilherme N. Fasolin, Matias Spektor, Renan Marques, Juliana Camargo
{"title":"Determinants of climate change risk perception in Latin America","authors":"Guilherme N. Fasolin, Matias Spektor, Renan Marques, Juliana Camargo","doi":"10.1038/s41467-025-58072-2","DOIUrl":"https://doi.org/10.1038/s41467-025-58072-2","url":null,"abstract":"<p>Climate change risk perceptions are subjective constructs that individuals use to interpret the potential harms of climate change and influence their engagement in mitigation and adaptation efforts. While research in high-income Western countries has identified cognitive processes, socio-cultural factors, and political ideology as key predictors of climate risk perceptions, their applicability to low- and middle-income regions remains uncertain. This study uses a cross-national survey conducted in Argentina, Brazil, Colombia, Chile, Ecuador, Peru, and Mexico (N = 5338) to assess climate risk perceptions in Latin America. We show that emotional responses, especially worry and perceived vulnerability to extreme weather, are the strongest predictors. In contrast, political ideology and socio-demographic factors exhibit weak and inconsistent associations, diverging from patterns observed in high-income countries. These findings highlight that climate change is not perceived as a politically divisive issue in the region, suggesting opportunities for cross-party collaboration on climate initiatives. Understanding these unique drivers in regions with emerging economies is crucial for developing effective, tailored risk communication strategies.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"121 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144710672","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zachary C. Drake, Elijah H. Day, Paul D. Toth, Steffen Lindert
{"title":"Deep-learning structure elucidation from single-mutant deep mutational scanning","authors":"Zachary C. Drake, Elijah H. Day, Paul D. Toth, Steffen Lindert","doi":"10.1038/s41467-025-62261-4","DOIUrl":"https://doi.org/10.1038/s41467-025-62261-4","url":null,"abstract":"<p>Deep learning has revolutionized the field of protein structure prediction. AlphaFold2, a deep neural network, vastly outperformed previous algorithms to provide near atomic-level accuracy when predicting protein structures. Despite its success, there still are limitations which prevent accurate predictions for numerous protein systems. Here we show that sparse residue burial restraints from deep mutational scanning (DMS) can refine AlphaFold2 to significantly enhance results. Burial information extracted from DMS is used to explicitly guide residue placement during structure generation. DMS-Fold was validated on both simulated and experimental single-mutant DMS, with DMS-Fold outperforming AlphaFold2 for 88% of protein targets and with 252 proteins having an improvement greater than 0.1 in TM-Score. DMS-Fold is free and publicly available: [https://github.com/LindertLab/DMS-Fold].</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"131 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144710860","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Untethered soft microrobot driven by a single actuator for agile navigations.","authors":"Yichuan Wu,Lai Cao,Guobin Lu,Peng Wang,Longqi Ran,Bei Peng","doi":"10.1038/s41467-025-61810-1","DOIUrl":"https://doi.org/10.1038/s41467-025-61810-1","url":null,"abstract":"Cockroaches are renowned for their ability to swiftly navigate through tight spaces and robustly withstand high impacts due to their well-controlled locomotion and highly flexible exoskeletons. It has been a long-standing challenge to replicate these features in untethered controllable microrobots (weighing~1 g). Here, we show that a single actuator is used to tune a microrobot's leg strokes for controllable movements in various directions (forward, backward, and diagonal). Weighing just over 1 g and measuring 2 cm in length, the untethered microrobot achieves a forward speed of 4.8 body lengths per second (BL/s) and a turning speed of 280 deg/s, resulting in an outstanding maneuverability that has only previously been achieved in multiply-actuated microrobots. The untethered microrobot can remain functional after being stepped on. The single actuator driving scheme, device structural architecture, and control techniques are investigated as key guidance for the development of future controllable and resilient miniaturized robots.","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"33 1","pages":"6842"},"PeriodicalIF":16.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144701115","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Ferroelectric NAND for efficient hardware bayesian neural networks","authors":"Minsuk Song, Ryun-Han Koo, Jangsaeng Kim, Chang-Hyeon Han, Jiyong Yim, Jonghyun Ko, Sijung Yoo, Duk-hyun Choe, Sangwook Kim, Wonjun Shin, Daewoong Kwon","doi":"10.1038/s41467-025-61980-y","DOIUrl":"https://doi.org/10.1038/s41467-025-61980-y","url":null,"abstract":"<p>The rapid advancement of artificial intelligence has enabled breakthroughs in diverse fields, including autonomous systems and medical diagnostics. However, conventional deterministic neural networks struggle to capture uncertainty, limiting their reliability when handling real-world data, which are often noisy, imbalanced, or scarce. Bayesian neural networks address this limitation by representing weights as probabilistic distributions, allowing for natural uncertainty quantification and improved robustness. Despite their advantages, hardware-based implementations face significant challenges due to the difficulty of independently tuning both the mean and variance of weight distributions. Herein, we propose a 3D ferroelectric NAND-based Bayesian neural network system that leverages incremental step pulse programming technology to achieve efficient and scalable probabilistic weight control. The page-level programming capabilities and intrinsic device-to-device variations enable gaussian weight distributions in a single programming step, without structural modifications. By modulating the incremental step pulse programming voltage step, we achieve precise weight distribution control. The proposed system demonstrates successful uncertainty estimation, enhanced energy efficiency, and robustness to external noise for medical images.</p>","PeriodicalId":19066,"journal":{"name":"Nature Communications","volume":"14 1","pages":""},"PeriodicalIF":16.6,"publicationDate":"2025-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144710669","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}