Pub Date : 2026-03-25DOI: 10.1038/s41586-026-10279-z
Cole D. Fincher, Colin Gilgenbach, Christian Roach, Rachel Osmundsen, Aubrey Penn, Michael D. Thouless, W. Craig Carter, Brian W. Sheldon, James M. LeBeau, Yet-Ming Chiang
Charging rates, cycling performance and safety of solid-state batteries using metal negative electrodes are often limited by dendrites1,2,3, the growth of which depends on coupling between electrochemical and mechanical driving forces. Previously, it has been assumed that dendrites propagate when plating-induced stresses reach the fracture stress of the solid electrolyte. Here we show that dendrites can propagate at far lower stresses. Using operando birefringence microscopy4, we directly measure stresses around growing dendrites in garnet Li6.6La3Zr1.6Ta0.4O12, a highly stable solid electrolyte5,6,7. Plating-induced stresses are present throughout growth and approach the mechanical fracture stress for the slowest-growing dendrites. As current densities and dendrite velocities increase, the stresses accompanying dendrite growth surprisingly decrease, with dendrite propagation occurring at stresses up to 75% lower than under mechanical load alone. Cryogenic scanning transmission electron microscopy (STEM) of dendrites propagated at high current reveals electrolyte decomposition to new phases, associated with which is a net molar volume contraction. The electrochemically induced mode of embrittlement may be mitigated through understanding and control of the nature of phase transitions accompanying instability.
{"title":"Electrochemical corrosion accompanies dendrite growth in solid electrolytes","authors":"Cole D. Fincher, Colin Gilgenbach, Christian Roach, Rachel Osmundsen, Aubrey Penn, Michael D. Thouless, W. Craig Carter, Brian W. Sheldon, James M. LeBeau, Yet-Ming Chiang","doi":"10.1038/s41586-026-10279-z","DOIUrl":"https://doi.org/10.1038/s41586-026-10279-z","url":null,"abstract":"Charging rates, cycling performance and safety of solid-state batteries using metal negative electrodes are often limited by dendrites1,2,3, the growth of which depends on coupling between electrochemical and mechanical driving forces. Previously, it has been assumed that dendrites propagate when plating-induced stresses reach the fracture stress of the solid electrolyte. Here we show that dendrites can propagate at far lower stresses. Using operando birefringence microscopy4, we directly measure stresses around growing dendrites in garnet Li6.6La3Zr1.6Ta0.4O12, a highly stable solid electrolyte5,6,7. Plating-induced stresses are present throughout growth and approach the mechanical fracture stress for the slowest-growing dendrites. As current densities and dendrite velocities increase, the stresses accompanying dendrite growth surprisingly decrease, with dendrite propagation occurring at stresses up to 75% lower than under mechanical load alone. Cryogenic scanning transmission electron microscopy (STEM) of dendrites propagated at high current reveals electrolyte decomposition to new phases, associated with which is a net molar volume contraction. The electrochemically induced mode of embrittlement may be mitigated through understanding and control of the nature of phase transitions accompanying instability.","PeriodicalId":18787,"journal":{"name":"Nature","volume":"17 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147506185","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}
Pub Date : 2026-03-25DOI: 10.1038/s41586-026-10355-4
Zeynep Okray, Pedro F Jacob, Ciara Stern, Kieran Desmond, Nils Otto, Clifford B Talbot, Paola Vargas-Gutierrez, Scott Waddell
{"title":"Retraction Note: Multisensory learning binds neurons into a cross-modal memory engram.","authors":"Zeynep Okray, Pedro F Jacob, Ciara Stern, Kieran Desmond, Nils Otto, Clifford B Talbot, Paola Vargas-Gutierrez, Scott Waddell","doi":"10.1038/s41586-026-10355-4","DOIUrl":"https://doi.org/10.1038/s41586-026-10355-4","url":null,"abstract":"","PeriodicalId":18787,"journal":{"name":"Nature","volume":" ","pages":""},"PeriodicalIF":48.5,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147513479","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}
Pub Date : 2026-03-25DOI: 10.1038/d41586-026-00919-9
{"title":"Anticancer antibodies can evolve to cause autoimmune brain disease.","authors":"","doi":"10.1038/d41586-026-00919-9","DOIUrl":"https://doi.org/10.1038/d41586-026-00919-9","url":null,"abstract":"","PeriodicalId":18787,"journal":{"name":"Nature","volume":" ","pages":""},"PeriodicalIF":48.5,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147513485","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}
Pub Date : 2026-03-25DOI: 10.1038/d41586-026-00900-6
Ewen Callaway
{"title":"Who let the wolves in? Genetic record for domestic dogs pushed back by 5,000 years.","authors":"Ewen Callaway","doi":"10.1038/d41586-026-00900-6","DOIUrl":"https://doi.org/10.1038/d41586-026-00900-6","url":null,"abstract":"","PeriodicalId":18787,"journal":{"name":"Nature","volume":" ","pages":""},"PeriodicalIF":48.5,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147513511","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}
Pub Date : 2026-03-25DOI: 10.1038/d41586-026-00899-w
Davide Castelvecchi
{"title":"How to build an AI scientist: first peer-reviewed paper spills the secrets.","authors":"Davide Castelvecchi","doi":"10.1038/d41586-026-00899-w","DOIUrl":"https://doi.org/10.1038/d41586-026-00899-w","url":null,"abstract":"","PeriodicalId":18787,"journal":{"name":"Nature","volume":"17 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147518583","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}
Pub Date : 2026-03-25DOI: 10.1038/s41586-026-10112-7
Anders Bergström, Anja Furtwängler, Sarah Johnston, Erika Rosengren, Abagail Breidenstein, Thomas Booth, Jesse B. McCabe, Jessica Peto, Mia Williams, Monica Kelly, Frankie Tait, Chris Baumann, Rita Radzeviciute, Christopher Barrington, Kyriaki Anastasiadou, Alexandre Gilardet, Isabelle Glocke, Mattias Sherman, Anastasia Brativnyk, Alexander Herbig, Kay Prüfer, Saskia Pfrengle, Joscha Gretzinger, Tatiana R. Feuerborn, Ella Reiter, Anna Linderholm, Sophy Charlton, Fernando Racimo, Lea Mikkola, Hugo Anderson-Whymark, Douglas Baird, Anne Birgitte Gotfredsen, Hervé Bocherens, Anne Bridault, Rainer Brocke, Dorothée G. Drucker, Andrew S. Fairbairn, Laurent Frantz, Boris Gasparyan, Liane Giemsch, Mietje Germonpré, Luc Janssens, Andrew W. Kandel, Kurt Kjær, Martina Lázničková-Galetová, Daniel Loponte, Ola Magnell, Louise Martin, Susanne C. Münzel, Gökhan Mustafaoğlu
The earliest morphologically identifiable dogs are from Europe and date to at least 14,000 years ago1,2,3,4,5, although early remains are also found in other regions. The origin of early dogs in Europe, and their relationships to other dogs, has remained elusive in the absence of genome-wide data. Similarly, although dogs were the only domestic animal to predate agriculture, little is known about how the arrival of Neolithic farmers from Southwest Asia affected the dogs living with European Mesolithic hunter-gatherers. Here we analysed 216 canid remains, including 181 from Palaeolithic and Mesolithic Europe. We developed a genome-wide capture approach that enriched endogenous DNA by 10–100-fold and could distinguish dog from wolf ancestry for 141 of 216 remains. The oldest dog data that we recovered are from a 14,200-year-old dog from the Kesslerloch site in Switzerland, and we find that it shares ancestry with later worldwide dogs—inconsistent with the hypothesis that European Upper Palaeolithic dogs derived wholly from a separate domestication process. The Kesslerloch dog already displays more affinity to Mesolithic, Neolithic and present-day European dogs than to Asian dogs, demonstrating that dog genetic diversification had started well before 14,200 years ago. We find a Neolithic influx of Southwest Asian ancestry into Europe, but this seems to have been of smaller magnitude than in humans, suggesting that Mesolithic dogs contributed substantially to Neolithic, and, ultimately, probably also modern, European dogs.
{"title":"Genomic history of early dogs in Europe","authors":"Anders Bergström, Anja Furtwängler, Sarah Johnston, Erika Rosengren, Abagail Breidenstein, Thomas Booth, Jesse B. McCabe, Jessica Peto, Mia Williams, Monica Kelly, Frankie Tait, Chris Baumann, Rita Radzeviciute, Christopher Barrington, Kyriaki Anastasiadou, Alexandre Gilardet, Isabelle Glocke, Mattias Sherman, Anastasia Brativnyk, Alexander Herbig, Kay Prüfer, Saskia Pfrengle, Joscha Gretzinger, Tatiana R. Feuerborn, Ella Reiter, Anna Linderholm, Sophy Charlton, Fernando Racimo, Lea Mikkola, Hugo Anderson-Whymark, Douglas Baird, Anne Birgitte Gotfredsen, Hervé Bocherens, Anne Bridault, Rainer Brocke, Dorothée G. Drucker, Andrew S. Fairbairn, Laurent Frantz, Boris Gasparyan, Liane Giemsch, Mietje Germonpré, Luc Janssens, Andrew W. Kandel, Kurt Kjær, Martina Lázničková-Galetová, Daniel Loponte, Ola Magnell, Louise Martin, Susanne C. Münzel, Gökhan Mustafaoğlu","doi":"10.1038/s41586-026-10112-7","DOIUrl":"https://doi.org/10.1038/s41586-026-10112-7","url":null,"abstract":"The earliest morphologically identifiable dogs are from Europe and date to at least 14,000 years ago1,2,3,4,5, although early remains are also found in other regions. The origin of early dogs in Europe, and their relationships to other dogs, has remained elusive in the absence of genome-wide data. Similarly, although dogs were the only domestic animal to predate agriculture, little is known about how the arrival of Neolithic farmers from Southwest Asia affected the dogs living with European Mesolithic hunter-gatherers. Here we analysed 216 canid remains, including 181 from Palaeolithic and Mesolithic Europe. We developed a genome-wide capture approach that enriched endogenous DNA by 10–100-fold and could distinguish dog from wolf ancestry for 141 of 216 remains. The oldest dog data that we recovered are from a 14,200-year-old dog from the Kesslerloch site in Switzerland, and we find that it shares ancestry with later worldwide dogs—inconsistent with the hypothesis that European Upper Palaeolithic dogs derived wholly from a separate domestication process. The Kesslerloch dog already displays more affinity to Mesolithic, Neolithic and present-day European dogs than to Asian dogs, demonstrating that dog genetic diversification had started well before 14,200 years ago. We find a Neolithic influx of Southwest Asian ancestry into Europe, but this seems to have been of smaller magnitude than in humans, suggesting that Mesolithic dogs contributed substantially to Neolithic, and, ultimately, probably also modern, European dogs.","PeriodicalId":18787,"journal":{"name":"Nature","volume":"17 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147506169","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}
Pub Date : 2026-03-25DOI: 10.1038/s41586-026-10267-3
Yuelin Shi, Dasheng Bi, Janis K. Hesse, Frank F. Lanfranchi, Shi Chen, Doris Y. Tsao
A fundamental paradigm in neuroscience is that neurons represent the world through fixed tuning functions, with stable mappings from stimulus features to firing rates1. Here, we report that tuning can instead shift rapidly and coherently across a neural population, enabling a dynamic transition from detecting a broad category to discriminating individual exemplars. We set out to address a longstanding debate in visual neuroscience about whether the inferotemporal cortex uses a specialized code for specific object categories or a general-purpose code that applies to all objects. We found that face-selective cells in macaque inferotemporal cortex initially adopted a general code optimized for face detection. However, after a rapid concerted population event lasting less than 20 ms, the neural code transformed into a face-specific one, with two striking features: response gradients to principal detection-related dimensions reversed direction, and new tuning emerged for multiple higher-dimensional features that support fine face discrimination. These dynamics in face patches were specific to face stimuli and did not occur in response to non-face objects. Thus, for faces, face cells transition from detection to discrimination by switching from an object-general code to a face-specific one. More broadly, our findings indicate that there is a previously unknown mechanism for neural representation: concerted stimulus-dependent switching of the neural code used by a cortical area.
{"title":"Rapid concerted switching of the neural code in the inferotemporal cortex","authors":"Yuelin Shi, Dasheng Bi, Janis K. Hesse, Frank F. Lanfranchi, Shi Chen, Doris Y. Tsao","doi":"10.1038/s41586-026-10267-3","DOIUrl":"https://doi.org/10.1038/s41586-026-10267-3","url":null,"abstract":"A fundamental paradigm in neuroscience is that neurons represent the world through fixed tuning functions, with stable mappings from stimulus features to firing rates1. Here, we report that tuning can instead shift rapidly and coherently across a neural population, enabling a dynamic transition from detecting a broad category to discriminating individual exemplars. We set out to address a longstanding debate in visual neuroscience about whether the inferotemporal cortex uses a specialized code for specific object categories or a general-purpose code that applies to all objects. We found that face-selective cells in macaque inferotemporal cortex initially adopted a general code optimized for face detection. However, after a rapid concerted population event lasting less than 20 ms, the neural code transformed into a face-specific one, with two striking features: response gradients to principal detection-related dimensions reversed direction, and new tuning emerged for multiple higher-dimensional features that support fine face discrimination. These dynamics in face patches were specific to face stimuli and did not occur in response to non-face objects. Thus, for faces, face cells transition from detection to discrimination by switching from an object-general code to a face-specific one. More broadly, our findings indicate that there is a previously unknown mechanism for neural representation: concerted stimulus-dependent switching of the neural code used by a cortical area.","PeriodicalId":18787,"journal":{"name":"Nature","volume":"57 1","pages":""},"PeriodicalIF":64.8,"publicationDate":"2026-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147506181","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}
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