--- _id: '9293' abstract: - lang: eng text: 'We consider planning problems for graphs, Markov Decision Processes (MDPs), and games on graphs in an explicit state space. While graphs represent the most basic planning model, MDPs represent interaction with nature and games on graphs represent interaction with an adversarial environment. We consider two planning problems with k different target sets: (a) the coverage problem asks whether there is a plan for each individual target set; and (b) the sequential target reachability problem asks whether the targets can be reached in a given sequence. For the coverage problem, we present a linear-time algorithm for graphs, and quadratic conditional lower bound for MDPs and games on graphs. For the sequential target problem, we present a linear-time algorithm for graphs, a sub-quadratic algorithm for MDPs, and a quadratic conditional lower bound for games on graphs. Our results with conditional lower bounds, based on the boolean matrix multiplication (BMM) conjecture and strong exponential time hypothesis (SETH), establish (i) model-separation results showing that for the coverage problem MDPs and games on graphs are harder than graphs, and for the sequential reachability problem games on graphs are harder than MDPs and graphs; and (ii) problem-separation results showing that for MDPs the coverage problem is harder than the sequential target problem.' article_number: '103499' article_processing_charge: No article_type: original author: - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X - first_name: Wolfgang full_name: Dvořák, Wolfgang last_name: Dvořák - first_name: Monika H full_name: Henzinger, Monika H id: 540c9bbd-f2de-11ec-812d-d04a5be85630 last_name: Henzinger orcid: 0000-0002-5008-6530 - first_name: Alexander full_name: Svozil, Alexander last_name: Svozil citation: ama: Chatterjee K, Dvořák W, Henzinger MH, Svozil A. Algorithms and conditional lower bounds for planning problems. Artificial Intelligence. 2021;297(8). doi:10.1016/j.artint.2021.103499 apa: Chatterjee, K., Dvořák, W., Henzinger, M. H., & Svozil, A. (2021). Algorithms and conditional lower bounds for planning problems. Artificial Intelligence. Elsevier. https://doi.org/10.1016/j.artint.2021.103499 chicago: Chatterjee, Krishnendu, Wolfgang Dvořák, Monika H Henzinger, and Alexander Svozil. “Algorithms and Conditional Lower Bounds for Planning Problems.” Artificial Intelligence. Elsevier, 2021. https://doi.org/10.1016/j.artint.2021.103499. ieee: K. Chatterjee, W. Dvořák, M. H. Henzinger, and A. Svozil, “Algorithms and conditional lower bounds for planning problems,” Artificial Intelligence, vol. 297, no. 8. Elsevier, 2021. ista: Chatterjee K, Dvořák W, Henzinger MH, Svozil A. 2021. Algorithms and conditional lower bounds for planning problems. Artificial Intelligence. 297(8), 103499. mla: Chatterjee, Krishnendu, et al. “Algorithms and Conditional Lower Bounds for Planning Problems.” Artificial Intelligence, vol. 297, no. 8, 103499, Elsevier, 2021, doi:10.1016/j.artint.2021.103499. short: K. Chatterjee, W. Dvořák, M.H. Henzinger, A. Svozil, Artificial Intelligence 297 (2021). date_created: 2021-03-28T22:01:40Z date_published: 2021-03-16T00:00:00Z date_updated: 2023-09-26T10:41:42Z day: '16' department: - _id: KrCh doi: 10.1016/j.artint.2021.103499 external_id: arxiv: - '1804.07031' isi: - '000657537500003' intvolume: ' 297' isi: 1 issue: '8' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1804.07031 month: '03' oa: 1 oa_version: Preprint publication: Artificial Intelligence publication_identifier: issn: - 0004-3702 publication_status: published publisher: Elsevier quality_controlled: '1' related_material: record: - id: '35' relation: earlier_version status: public scopus_import: '1' status: public title: Algorithms and conditional lower bounds for planning problems type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 297 year: '2021' ... --- _id: '13063' abstract: - lang: eng text: We develop a Bayesian model (BayesRR-RC) that provides robust SNP-heritability estimation, an alternative to marker discovery, and accurate genomic prediction, taking 22 seconds per iteration to estimate 8.4 million SNP-effects and 78 SNP-heritability parameters in the UK Biobank. We find that only $\leq$ 10\% of the genetic variation captured for height, body mass index, cardiovascular disease, and type 2 diabetes is attributable to proximal regulatory regions within 10kb upstream of genes, while 12-25% is attributed to coding regions, 32-44% to introns, and 22-28% to distal 10-500kb upstream regions. Up to 24% of all cis and coding regions of each chromosome are associated with each trait, with over 3,100 independent exonic and intronic regions and over 5,400 independent regulatory regions having >95% probability of contributing >0.001% to the genetic variance of these four traits. Our open-source software (GMRM) provides a scalable alternative to current approaches for biobank data. article_processing_charge: No author: - first_name: Matthew Richard full_name: Robinson, Matthew Richard id: E5D42276-F5DA-11E9-8E24-6303E6697425 last_name: Robinson orcid: 0000-0001-8982-8813 citation: ama: Robinson MR. Probabilistic inference of the genetic architecture of functional enrichment of complex traits. 2021. doi:10.5061/dryad.sqv9s4n51 apa: Robinson, M. R. (2021). Probabilistic inference of the genetic architecture of functional enrichment of complex traits. Dryad. https://doi.org/10.5061/dryad.sqv9s4n51 chicago: Robinson, Matthew Richard. “Probabilistic Inference of the Genetic Architecture of Functional Enrichment of Complex Traits.” Dryad, 2021. https://doi.org/10.5061/dryad.sqv9s4n51. ieee: M. R. Robinson, “Probabilistic inference of the genetic architecture of functional enrichment of complex traits.” Dryad, 2021. ista: Robinson MR. 2021. Probabilistic inference of the genetic architecture of functional enrichment of complex traits, Dryad, 10.5061/dryad.sqv9s4n51. mla: Robinson, Matthew Richard. Probabilistic Inference of the Genetic Architecture of Functional Enrichment of Complex Traits. Dryad, 2021, doi:10.5061/dryad.sqv9s4n51. short: M.R. Robinson, (2021). date_created: 2023-05-23T16:20:16Z date_published: 2021-11-04T00:00:00Z date_updated: 2023-09-26T10:36:15Z day: '04' ddc: - '570' department: - _id: MaRo doi: 10.5061/dryad.sqv9s4n51 license: https://creativecommons.org/publicdomain/zero/1.0/ main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.sqv9s4n51 month: '11' oa: 1 oa_version: Published Version publisher: Dryad related_material: link: - relation: software url: https://github.com/medical-genomics-group/gmrm record: - id: '8429' relation: used_in_publication status: public status: public title: Probabilistic inference of the genetic architecture of functional enrichment of complex traits tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data_reference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '9304' abstract: - lang: eng text: The high processing cost, poor mechanical properties and moderate performance of Bi2Te3–based alloys used in thermoelectric devices limit the cost-effectiveness of this energy conversion technology. Towards solving these current challenges, in the present work, we detail a low temperature solution-based approach to produce Bi2Te3-Cu2-xTe nanocomposites with improved thermoelectric performance. Our approach consists in combining proper ratios of colloidal nanoparticles and to consolidate the resulting mixture into nanocomposites using a hot press. The transport properties of the nanocomposites are characterized and compared with those of pure Bi2Te3 nanomaterials obtained following the same procedure. In contrast with most previous works, the presence of Cu2-xTe nanodomains does not result in a significant reduction of the lattice thermal conductivity of the reference Bi2Te3 nanomaterial, which is already very low. However, the introduction of Cu2-xTe yields a nearly threefold increase of the power factor associated to a simultaneous increase of the Seebeck coefficient and electrical conductivity at temperatures above 400 K. Taking into account the band alignment of the two materials, we rationalize this increase by considering that Cu2-xTe nanostructures, with a relatively low electron affinity, are able to inject electrons into Bi2Te3, enhancing in this way its electrical conductivity. The simultaneous increase of the Seebeck coefficient is related to the energy filtering of charge carriers at energy barriers within Bi2Te3 domains associated with the accumulation of electrons in regions nearby a Cu2-xTe/Bi2Te3 heterojunction. Overall, with the incorporation of a proper amount of Cu2-xTe nanoparticles, we demonstrate a 250% improvement of the thermoelectric figure of merit of Bi2Te3. acknowledgement: "This work was supported by the European Regional Development Funds and by the Generalitat de Catalunya through the project 2017SGR1246. Y.Z, C.X, M.L, K.X and X.H thank the China Scholarship Council for the scholarship support. MI acknowledges financial support from IST Austria. YL acknowledges funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 754411. ICN2\r\nacknowledges funding from Generalitat de Catalunya 2017 SGR 327 and the Spanish MINECO project ENE2017-85087-C3. ICN2 is supported by the Severo Ochoa program from the Spanish MINECO (grant no. SEV-2017-0706) and is funded by the CERCA Program/Generalitat de Catalunya. Part of the present work has been performed in the framework of Universitat Autònoma de Barcelona Materials Science PhD program." article_number: '129374' article_processing_charge: No article_type: original author: - first_name: Yu full_name: Zhang, Yu last_name: Zhang - first_name: Congcong full_name: Xing, Congcong last_name: Xing - first_name: Yu full_name: Liu, Yu id: 2A70014E-F248-11E8-B48F-1D18A9856A87 last_name: Liu orcid: 0000-0001-7313-6740 - first_name: Mengyao full_name: Li, Mengyao last_name: Li - first_name: Ke full_name: Xiao, Ke last_name: Xiao - first_name: Pablo full_name: Guardia, Pablo last_name: Guardia - first_name: Seungho full_name: Lee, Seungho id: BB243B88-D767-11E9-B658-BC13E6697425 last_name: Lee orcid: 0000-0002-6962-8598 - first_name: Xu full_name: Han, Xu last_name: Han - first_name: Ahmad full_name: Moghaddam, Ahmad last_name: Moghaddam - first_name: Joan J full_name: Roa, Joan J last_name: Roa - first_name: Jordi full_name: Arbiol, Jordi last_name: Arbiol - first_name: Maria full_name: Ibáñez, Maria id: 43C61214-F248-11E8-B48F-1D18A9856A87 last_name: Ibáñez orcid: 0000-0001-5013-2843 - first_name: Kai full_name: Pan, Kai last_name: Pan - first_name: Mirko full_name: Prato, Mirko last_name: Prato - first_name: Ying full_name: Xie, Ying last_name: Xie - first_name: Andreu full_name: Cabot, Andreu last_name: Cabot citation: ama: Zhang Y, Xing C, Liu Y, et al. Influence of copper telluride nanodomains on the transport properties of n-type bismuth telluride. Chemical Engineering Journal. 2021;418(8). doi:10.1016/j.cej.2021.129374 apa: Zhang, Y., Xing, C., Liu, Y., Li, M., Xiao, K., Guardia, P., … Cabot, A. (2021). Influence of copper telluride nanodomains on the transport properties of n-type bismuth telluride. Chemical Engineering Journal. Elsevier. https://doi.org/10.1016/j.cej.2021.129374 chicago: Zhang, Yu, Congcong Xing, Yu Liu, Mengyao Li, Ke Xiao, Pablo Guardia, Seungho Lee, et al. “Influence of Copper Telluride Nanodomains on the Transport Properties of N-Type Bismuth Telluride.” Chemical Engineering Journal. Elsevier, 2021. https://doi.org/10.1016/j.cej.2021.129374. ieee: Y. Zhang et al., “Influence of copper telluride nanodomains on the transport properties of n-type bismuth telluride,” Chemical Engineering Journal, vol. 418, no. 8. Elsevier, 2021. ista: Zhang Y, Xing C, Liu Y, Li M, Xiao K, Guardia P, Lee S, Han X, Moghaddam A, Roa JJ, Arbiol J, Ibáñez M, Pan K, Prato M, Xie Y, Cabot A. 2021. Influence of copper telluride nanodomains on the transport properties of n-type bismuth telluride. Chemical Engineering Journal. 418(8), 129374. mla: Zhang, Yu, et al. “Influence of Copper Telluride Nanodomains on the Transport Properties of N-Type Bismuth Telluride.” Chemical Engineering Journal, vol. 418, no. 8, 129374, Elsevier, 2021, doi:10.1016/j.cej.2021.129374. short: Y. Zhang, C. Xing, Y. Liu, M. Li, K. Xiao, P. Guardia, S. Lee, X. Han, A. Moghaddam, J.J. Roa, J. Arbiol, M. Ibáñez, K. Pan, M. Prato, Y. Xie, A. Cabot, Chemical Engineering Journal 418 (2021). date_created: 2021-04-04T22:01:20Z date_published: 2021-08-15T00:00:00Z date_updated: 2023-09-27T07:36:29Z day: '15' department: - _id: MaIb doi: 10.1016/j.cej.2021.129374 ec_funded: 1 external_id: isi: - '000655672000005' intvolume: ' 418' isi: 1 issue: '8' language: - iso: eng main_file_link: - open_access: '1' url: https://ddd.uab.cat/record/271949 month: '08' oa: 1 oa_version: Submitted Version project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: Chemical Engineering Journal publication_identifier: issn: - 1385-8947 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: Influence of copper telluride nanodomains on the transport properties of n-type bismuth telluride type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 418 year: '2021' ... --- _id: '9793' abstract: - lang: eng text: Astrocytes extensively infiltrate the neuropil to regulate critical aspects of synaptic development and function. This process is regulated by transcellular interactions between astrocytes and neurons via cell adhesion molecules. How astrocytes coordinate developmental processes among one another to parse out the synaptic neuropil and form non-overlapping territories is unknown. Here we identify a molecular mechanism regulating astrocyte-astrocyte interactions during development to coordinate astrocyte morphogenesis and gap junction coupling. We show that hepaCAM, a disease-linked, astrocyte-enriched cell adhesion molecule, regulates astrocyte competition for territory and morphological complexity in the developing mouse cortex. Furthermore, conditional deletion of Hepacam from developing astrocytes significantly impairs gap junction coupling between astrocytes and disrupts the balance between synaptic excitation and inhibition. Mutations in HEPACAM cause megalencephalic leukoencephalopathy with subcortical cysts in humans. Therefore, our findings suggest that disruption of astrocyte self-organization mechanisms could be an underlying cause of neural pathology. acknowledgement: This work was supported by the National Institutes of Health (R01 DA047258 and R01 NS102237 to C.E., F32 NS100392 to K.T.B.) and the Holland-Trice Brain Research Award (to C.E.). K.T.B. was supported by postdoctoral fellowships from the Foerster-Bernstein Family and The Hartwell Foundation. The Hippenmeyer lab was supported by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovations program (725780 LinPro) to S.H. R.E. was supported by Ministerio de Ciencia y Tecnología (RTI2018-093493-B-I00). We thank the Duke Light Microscopy Core Facility, the Duke Transgenic Mouse Facility, Dr. U. Schulte for assistance with proteomic experiments, and Dr. D. Silver for critical review of the manuscript. Cartoon elements of figure panels were created using BioRender.com. article_processing_charge: No article_type: original author: - first_name: Katherine T. full_name: Baldwin, Katherine T. last_name: Baldwin - first_name: Christabel X. full_name: Tan, Christabel X. last_name: Tan - first_name: Samuel T. full_name: Strader, Samuel T. last_name: Strader - first_name: Changyu full_name: Jiang, Changyu last_name: Jiang - first_name: Justin T. full_name: Savage, Justin T. last_name: Savage - first_name: Xabier full_name: Elorza-Vidal, Xabier last_name: Elorza-Vidal - first_name: Ximena full_name: Contreras, Ximena id: 475990FE-F248-11E8-B48F-1D18A9856A87 last_name: Contreras - first_name: Thomas full_name: Rülicke, Thomas last_name: Rülicke - first_name: Simon full_name: Hippenmeyer, Simon id: 37B36620-F248-11E8-B48F-1D18A9856A87 last_name: Hippenmeyer orcid: 0000-0003-2279-1061 - first_name: Raúl full_name: Estévez, Raúl last_name: Estévez - first_name: Ru-Rong full_name: Ji, Ru-Rong last_name: Ji - first_name: Cagla full_name: Eroglu, Cagla last_name: Eroglu citation: ama: Baldwin KT, Tan CX, Strader ST, et al. HepaCAM controls astrocyte self-organization and coupling. Neuron. 2021;109(15):2427-2442.e10. doi:10.1016/j.neuron.2021.05.025 apa: Baldwin, K. T., Tan, C. X., Strader, S. T., Jiang, C., Savage, J. T., Elorza-Vidal, X., … Eroglu, C. (2021). HepaCAM controls astrocyte self-organization and coupling. Neuron. Elsevier. https://doi.org/10.1016/j.neuron.2021.05.025 chicago: Baldwin, Katherine T., Christabel X. Tan, Samuel T. Strader, Changyu Jiang, Justin T. Savage, Xabier Elorza-Vidal, Ximena Contreras, et al. “HepaCAM Controls Astrocyte Self-Organization and Coupling.” Neuron. Elsevier, 2021. https://doi.org/10.1016/j.neuron.2021.05.025. ieee: K. T. Baldwin et al., “HepaCAM controls astrocyte self-organization and coupling,” Neuron, vol. 109, no. 15. Elsevier, p. 2427–2442.e10, 2021. ista: Baldwin KT, Tan CX, Strader ST, Jiang C, Savage JT, Elorza-Vidal X, Contreras X, Rülicke T, Hippenmeyer S, Estévez R, Ji R-R, Eroglu C. 2021. HepaCAM controls astrocyte self-organization and coupling. Neuron. 109(15), 2427–2442.e10. mla: Baldwin, Katherine T., et al. “HepaCAM Controls Astrocyte Self-Organization and Coupling.” Neuron, vol. 109, no. 15, Elsevier, 2021, p. 2427–2442.e10, doi:10.1016/j.neuron.2021.05.025. short: K.T. Baldwin, C.X. Tan, S.T. Strader, C. Jiang, J.T. Savage, X. Elorza-Vidal, X. Contreras, T. Rülicke, S. Hippenmeyer, R. Estévez, R.-R. Ji, C. Eroglu, Neuron 109 (2021) 2427–2442.e10. date_created: 2021-08-06T09:08:25Z date_published: 2021-08-04T00:00:00Z date_updated: 2023-09-27T07:46:09Z day: '04' department: - _id: SiHi doi: 10.1016/j.neuron.2021.05.025 ec_funded: 1 external_id: isi: - '000692851900010' pmid: - '34171291' intvolume: ' 109' isi: 1 issue: '15' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1016/j.neuron.2021.05.025 month: '08' oa: 1 oa_version: Published Version page: 2427-2442.e10 pmid: 1 project: - _id: 260018B0-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '725780' name: Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development publication: Neuron publication_identifier: eissn: - 1097-4199 issn: - 0896-6273 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: HepaCAM controls astrocyte self-organization and coupling type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 109 year: '2021' ... --- _id: '9305' abstract: - lang: eng text: Copper chalcogenides are outstanding thermoelectric materials for applications in the medium-high temperature range. Among different chalcogenides, while Cu2−xSe is characterized by higher thermoelectric figures of merit, Cu2−xS provides advantages in terms of low cost and element abundance. In the present work, we investigate the effect of different dopants to enhance the Cu2−xS performance and also its thermal stability. Among the tested options, Pb-doped Cu2−xS shows the highest improvement in stability against sulfur volatilization. Additionally, Pb incorporation allows tuning charge carrier concentration, which enables a significant improvement of the power factor. We demonstrate here that the introduction of an optimal additive amount of just 0.3% results in a threefold increase of the power factor in the middle-temperature range (500–800 K) and a record dimensionless thermoelectric figure of merit above 2 at 880 K. acknowledgement: This work was supported by the European Regional Development Fund and by the Spanish Ministerio de Economía y Competitividad through the project SEHTOP (ENE2016-77798-C4-3-R). MI acknowledges financial support from IST Austria. YL acknowledges funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No. 754411. YZ, CX, XW, KX and TZ thank the China Scholarship Council for the scholarship support. ICN2 acknowledges funding from Generalitat de Catalunya 2017 SGR 327 and the Spanish MINECO project ENE2017-85087-C3. ICN2 is supported by the Severo Ochoa program from the Spanish MINECO (grant no. SEV-2017-0706) and is funded by the CERCA program/Generalitat de Catalunya. Part of the present work has been performed in the framework of Universitat Autònoma de Barcelona Materials Science Ph.D. program. M.C.S. has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 754510 (PROBIST) and the Severo Ochoa programme. P.G. acknowledges financial support from the Spanish government (MICIU) through the RTI2018-102006-J-I00 project and the Catalan Agency of Competitiveness (ACCIO) through the TecnioSpring+ Marie Sklodowska-Curie action TECSPR16-1-0082. YZ and CX contributed equally to this work. article_number: '105991' article_processing_charge: No article_type: original author: - first_name: Yu full_name: Zhang, Yu last_name: Zhang - first_name: Congcong full_name: Xing, Congcong last_name: Xing - first_name: Yu full_name: Liu, Yu id: 2A70014E-F248-11E8-B48F-1D18A9856A87 last_name: Liu orcid: 0000-0001-7313-6740 - first_name: Maria Chiara full_name: Spadaro, Maria Chiara last_name: Spadaro - first_name: Xiang full_name: Wang, Xiang last_name: Wang - first_name: Mengyao full_name: Li, Mengyao last_name: Li - first_name: Ke full_name: Xiao, Ke last_name: Xiao - first_name: Ting full_name: Zhang, Ting last_name: Zhang - first_name: Pablo full_name: Guardia, Pablo last_name: Guardia - first_name: Khak Ho full_name: Lim, Khak Ho last_name: Lim - first_name: Ahmad Ostovari full_name: Moghaddam, Ahmad Ostovari last_name: Moghaddam - first_name: Jordi full_name: Llorca, Jordi last_name: Llorca - first_name: Jordi full_name: Arbiol, Jordi last_name: Arbiol - first_name: Maria full_name: Ibáñez, Maria id: 43C61214-F248-11E8-B48F-1D18A9856A87 last_name: Ibáñez orcid: 0000-0001-5013-2843 - first_name: Andreu full_name: Cabot, Andreu last_name: Cabot citation: ama: Zhang Y, Xing C, Liu Y, et al. Doping-mediated stabilization of copper vacancies to promote thermoelectric properties of Cu2-xS. Nano Energy. 2021;85(7). doi:10.1016/j.nanoen.2021.105991 apa: Zhang, Y., Xing, C., Liu, Y., Spadaro, M. C., Wang, X., Li, M., … Cabot, A. (2021). Doping-mediated stabilization of copper vacancies to promote thermoelectric properties of Cu2-xS. Nano Energy. Elsevier. https://doi.org/10.1016/j.nanoen.2021.105991 chicago: Zhang, Yu, Congcong Xing, Yu Liu, Maria Chiara Spadaro, Xiang Wang, Mengyao Li, Ke Xiao, et al. “Doping-Mediated Stabilization of Copper Vacancies to Promote Thermoelectric Properties of Cu2-XS.” Nano Energy. Elsevier, 2021. https://doi.org/10.1016/j.nanoen.2021.105991. ieee: Y. Zhang et al., “Doping-mediated stabilization of copper vacancies to promote thermoelectric properties of Cu2-xS,” Nano Energy, vol. 85, no. 7. Elsevier, 2021. ista: Zhang Y, Xing C, Liu Y, Spadaro MC, Wang X, Li M, Xiao K, Zhang T, Guardia P, Lim KH, Moghaddam AO, Llorca J, Arbiol J, Ibáñez M, Cabot A. 2021. Doping-mediated stabilization of copper vacancies to promote thermoelectric properties of Cu2-xS. Nano Energy. 85(7), 105991. mla: Zhang, Yu, et al. “Doping-Mediated Stabilization of Copper Vacancies to Promote Thermoelectric Properties of Cu2-XS.” Nano Energy, vol. 85, no. 7, 105991, Elsevier, 2021, doi:10.1016/j.nanoen.2021.105991. short: Y. Zhang, C. Xing, Y. Liu, M.C. Spadaro, X. Wang, M. Li, K. Xiao, T. Zhang, P. Guardia, K.H. Lim, A.O. Moghaddam, J. Llorca, J. Arbiol, M. Ibáñez, A. Cabot, Nano Energy 85 (2021). date_created: 2021-04-04T22:01:21Z date_published: 2021-07-01T00:00:00Z date_updated: 2023-09-27T07:41:00Z day: '01' department: - _id: MaIb doi: 10.1016/j.nanoen.2021.105991 ec_funded: 1 external_id: isi: - '000663442200004' intvolume: ' 85' isi: 1 issue: '7' language: - iso: eng main_file_link: - open_access: '1' url: https://ddd.uab.cat/record/271947 month: '07' oa: 1 oa_version: Submitted Version project: - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships publication: Nano Energy publication_identifier: issn: - 2211-2855 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: Doping-mediated stabilization of copper vacancies to promote thermoelectric properties of Cu2-xS type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 85 year: '2021' ...