---
_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'
...