---
_id: '10631'
abstract:
- lang: eng
text: We combine experimental and theoretical approaches to explore excited rotational
states of molecules embedded in helium nanodroplets using CS2 and I2 as examples.
Laser-induced nonadiabatic molecular alignment is employed to measure spectral
lines for rotational states extending beyond those initially populated at the
0.37 K droplet temperature. We construct a simple quantum-mechanical model, based
on a linear rotor coupled to a single-mode bosonic bath, to determine the rotational
energy structure in its entirety. The calculated and measured spectral lines are
in good agreement. We show that the effect of the surrounding superfluid on molecular
rotation can be rationalized by a single quantity, the angular momentum, transferred
from the molecule to the droplet.
acknowledgement: I.C. acknowledges the support by the European Union’s Horizon 2020
research and innovation programme under the Marie Sklodowska-Curie Grant Agreement
No. 665385. G.B. acknowledges support from the Austrian Science Fund (FWF), under
project No. M2461-N27. M.L. acknowledges support by the Austrian Science Fund (FWF),
under project No. P29902-N27, and by the European Research Council (ERC) Starting
Grant No. 801770 (ANGULON). H.S acknowledges support from the European Research
Council-AdG (Project No. 320459, DropletControl) and from The Villum Foundation
through a Villum Investigator grant no. 25886.
article_number: L061303
article_processing_charge: No
article_type: original
author:
- first_name: Igor
full_name: Cherepanov, Igor
id: 339C7E5A-F248-11E8-B48F-1D18A9856A87
last_name: Cherepanov
- first_name: Giacomo
full_name: Bighin, Giacomo
id: 4CA96FD4-F248-11E8-B48F-1D18A9856A87
last_name: Bighin
orcid: 0000-0001-8823-9777
- first_name: Constant A.
full_name: Schouder, Constant A.
last_name: Schouder
- first_name: Adam S.
full_name: Chatterley, Adam S.
last_name: Chatterley
- first_name: Simon H.
full_name: Albrechtsen, Simon H.
last_name: Albrechtsen
- first_name: Alberto Viñas
full_name: Muñoz, Alberto Viñas
last_name: Muñoz
- first_name: Lars
full_name: Christiansen, Lars
last_name: Christiansen
- first_name: Henrik
full_name: Stapelfeldt, Henrik
last_name: Stapelfeldt
- first_name: Mikhail
full_name: Lemeshko, Mikhail
id: 37CB05FA-F248-11E8-B48F-1D18A9856A87
last_name: Lemeshko
orcid: 0000-0002-6990-7802
citation:
ama: Cherepanov I, Bighin G, Schouder CA, et al. Excited rotational states of molecules
in a superfluid. Physical Review A. 2021;104(6). doi:10.1103/PhysRevA.104.L061303
apa: Cherepanov, I., Bighin, G., Schouder, C. A., Chatterley, A. S., Albrechtsen,
S. H., Muñoz, A. V., … Lemeshko, M. (2021). Excited rotational states of molecules
in a superfluid. Physical Review A. American Physical Society. https://doi.org/10.1103/PhysRevA.104.L061303
chicago: Cherepanov, Igor, Giacomo Bighin, Constant A. Schouder, Adam S. Chatterley,
Simon H. Albrechtsen, Alberto Viñas Muñoz, Lars Christiansen, Henrik Stapelfeldt,
and Mikhail Lemeshko. “Excited Rotational States of Molecules in a Superfluid.”
Physical Review A. American Physical Society, 2021. https://doi.org/10.1103/PhysRevA.104.L061303.
ieee: I. Cherepanov et al., “Excited rotational states of molecules in a
superfluid,” Physical Review A, vol. 104, no. 6. American Physical Society,
2021.
ista: Cherepanov I, Bighin G, Schouder CA, Chatterley AS, Albrechtsen SH, Muñoz
AV, Christiansen L, Stapelfeldt H, Lemeshko M. 2021. Excited rotational states
of molecules in a superfluid. Physical Review A. 104(6), L061303.
mla: Cherepanov, Igor, et al. “Excited Rotational States of Molecules in a Superfluid.”
Physical Review A, vol. 104, no. 6, L061303, American Physical Society,
2021, doi:10.1103/PhysRevA.104.L061303.
short: I. Cherepanov, G. Bighin, C.A. Schouder, A.S. Chatterley, S.H. Albrechtsen,
A.V. Muñoz, L. Christiansen, H. Stapelfeldt, M. Lemeshko, Physical Review A 104
(2021).
date_created: 2022-01-16T23:01:29Z
date_published: 2021-12-30T00:00:00Z
date_updated: 2023-08-17T06:52:17Z
day: '30'
department:
- _id: MiLe
doi: 10.1103/PhysRevA.104.L061303
ec_funded: 1
external_id:
arxiv:
- '2107.00468'
isi:
- '000739618300001'
intvolume: ' 104'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://128.84.4.18/abs/2107.00468
month: '12'
oa: 1
oa_version: Preprint
project:
- _id: 26031614-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P29902
name: Quantum rotations in the presence of a many-body environment
- _id: 2688CF98-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '801770'
name: 'Angulon: physics and applications of a new quasiparticle'
- _id: 2564DBCA-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '665385'
name: International IST Doctoral Program
- _id: 26986C82-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02641
name: A path-integral approach to composite impurities
publication: Physical Review A
publication_identifier:
eissn:
- 2469-9934
issn:
- 2469-9926
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: Excited rotational states of molecules in a superfluid
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 104
year: '2021'
...
---
_id: '10597'
abstract:
- lang: eng
text: We thank Emmanuel Abbe and Min Ye for providing us the implementation of RPA
decoding. D. Fathollahi and M. Mondelli are partially supported by the 2019 Lopez-Loreta
Prize. N. Farsad is supported by Discovery Grant from the Natural Sciences and
Engineering Research Council of Canada (NSERC) and Canada Foundation for Innovation
(CFI), John R. Evans Leader Fund. S. A. Hashemi is supported by a Postdoctoral
Fellowship from NSERC.
article_processing_charge: No
author:
- first_name: Dorsa
full_name: Fathollahi, Dorsa
last_name: Fathollahi
- first_name: Nariman
full_name: Farsad, Nariman
last_name: Farsad
- first_name: Seyyed Ali
full_name: Hashemi, Seyyed Ali
last_name: Hashemi
- first_name: Marco
full_name: Mondelli, Marco
id: 27EB676C-8706-11E9-9510-7717E6697425
last_name: Mondelli
orcid: 0000-0002-3242-7020
citation:
ama: 'Fathollahi D, Farsad N, Hashemi SA, Mondelli M. Sparse multi-decoder recursive
projection aggregation for Reed-Muller codes. In: 2021 IEEE International Symposium
on Information Theory. Institute of Electrical and Electronics Engineers;
2021:1082-1087. doi:10.1109/isit45174.2021.9517887'
apa: 'Fathollahi, D., Farsad, N., Hashemi, S. A., & Mondelli, M. (2021). Sparse
multi-decoder recursive projection aggregation for Reed-Muller codes. In 2021
IEEE International Symposium on Information Theory (pp. 1082–1087). Virtual,
Melbourne, Australia: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/isit45174.2021.9517887'
chicago: Fathollahi, Dorsa, Nariman Farsad, Seyyed Ali Hashemi, and Marco Mondelli.
“Sparse Multi-Decoder Recursive Projection Aggregation for Reed-Muller Codes.”
In 2021 IEEE International Symposium on Information Theory, 1082–87. Institute
of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/isit45174.2021.9517887.
ieee: D. Fathollahi, N. Farsad, S. A. Hashemi, and M. Mondelli, “Sparse multi-decoder
recursive projection aggregation for Reed-Muller codes,” in 2021 IEEE International
Symposium on Information Theory, Virtual, Melbourne, Australia, 2021, pp.
1082–1087.
ista: 'Fathollahi D, Farsad N, Hashemi SA, Mondelli M. 2021. Sparse multi-decoder
recursive projection aggregation for Reed-Muller codes. 2021 IEEE International
Symposium on Information Theory. ISIT: International Symposium on Information
Theory, 1082–1087.'
mla: Fathollahi, Dorsa, et al. “Sparse Multi-Decoder Recursive Projection Aggregation
for Reed-Muller Codes.” 2021 IEEE International Symposium on Information Theory,
Institute of Electrical and Electronics Engineers, 2021, pp. 1082–87, doi:10.1109/isit45174.2021.9517887.
short: D. Fathollahi, N. Farsad, S.A. Hashemi, M. Mondelli, in:, 2021 IEEE International
Symposium on Information Theory, Institute of Electrical and Electronics Engineers,
2021, pp. 1082–1087.
conference:
end_date: 2021-07-20
location: Virtual, Melbourne, Australia
name: 'ISIT: International Symposium on Information Theory'
start_date: 2021-07-12
date_created: 2022-01-03T11:31:26Z
date_published: 2021-09-01T00:00:00Z
date_updated: 2023-08-17T06:32:06Z
day: '01'
department:
- _id: MaMo
doi: 10.1109/isit45174.2021.9517887
external_id:
arxiv:
- '2011.12882'
isi:
- '000701502201029'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2011.12882
month: '09'
oa: 1
oa_version: Preprint
page: 1082-1087
project:
- _id: 059876FA-7A3F-11EA-A408-12923DDC885E
name: Prix Lopez-Loretta 2019 - Marco Mondelli
publication: 2021 IEEE International Symposium on Information Theory
publication_identifier:
eisbn:
- 978-1-5386-8209-8
isbn:
- 978-1-5386-8210-4
publication_status: published
publisher: Institute of Electrical and Electronics Engineers
quality_controlled: '1'
scopus_import: '1'
status: public
title: Sparse multi-decoder recursive projection aggregation for Reed-Muller codes
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
year: '2021'
...
---
_id: '10666'
abstract:
- lang: eng
text: Adversarial training is an effective method to train deep learning models
that are resilient to norm-bounded perturbations, with the cost of nominal performance
drop. While adversarial training appears to enhance the robustness and safety
of a deep model deployed in open-world decision-critical applications, counterintuitively,
it induces undesired behaviors in robot learning settings. In this paper, we show
theoretically and experimentally that neural controllers obtained via adversarial
training are subjected to three types of defects, namely transient, systematic,
and conditional errors. We first generalize adversarial training to a safety-domain
optimization scheme allowing for more generic specifications. We then prove that
such a learning process tends to cause certain error profiles. We support our
theoretical results by a thorough experimental safety analysis in a robot-learning
task. Our results suggest that adversarial training is not yet ready for robot
learning.
acknowledgement: M.L. and T.A.H. are supported in part by the Austrian Science Fund
(FWF) under grant Z211-N23 (Wittgenstein Award). R.H. and D.R. are supported by
Boeing and R.G. by Horizon-2020 ECSEL Project grant no. 783163 (iDev40).
article_processing_charge: No
author:
- first_name: Mathias
full_name: Lechner, Mathias
id: 3DC22916-F248-11E8-B48F-1D18A9856A87
last_name: Lechner
- first_name: Ramin
full_name: Hasani, Ramin
last_name: Hasani
- first_name: Radu
full_name: Grosu, Radu
last_name: Grosu
- first_name: Daniela
full_name: Rus, Daniela
last_name: Rus
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000-0002-2985-7724
citation:
ama: 'Lechner M, Hasani R, Grosu R, Rus D, Henzinger TA. Adversarial training is
not ready for robot learning. In: 2021 IEEE International Conference on Robotics
and Automation. ICRA. ; 2021:4140-4147. doi:10.1109/ICRA48506.2021.9561036'
apa: Lechner, M., Hasani, R., Grosu, R., Rus, D., & Henzinger, T. A. (2021).
Adversarial training is not ready for robot learning. In 2021 IEEE International
Conference on Robotics and Automation (pp. 4140–4147). Xi’an, China. https://doi.org/10.1109/ICRA48506.2021.9561036
chicago: Lechner, Mathias, Ramin Hasani, Radu Grosu, Daniela Rus, and Thomas A Henzinger.
“Adversarial Training Is Not Ready for Robot Learning.” In 2021 IEEE International
Conference on Robotics and Automation, 4140–47. ICRA, 2021. https://doi.org/10.1109/ICRA48506.2021.9561036.
ieee: M. Lechner, R. Hasani, R. Grosu, D. Rus, and T. A. Henzinger, “Adversarial
training is not ready for robot learning,” in 2021 IEEE International Conference
on Robotics and Automation, Xi’an, China, 2021, pp. 4140–4147.
ista: 'Lechner M, Hasani R, Grosu R, Rus D, Henzinger TA. 2021. Adversarial training
is not ready for robot learning. 2021 IEEE International Conference on Robotics
and Automation. ICRA: International Conference on Robotics and AutomationICRA,
4140–4147.'
mla: Lechner, Mathias, et al. “Adversarial Training Is Not Ready for Robot Learning.”
2021 IEEE International Conference on Robotics and Automation, 2021, pp.
4140–47, doi:10.1109/ICRA48506.2021.9561036.
short: M. Lechner, R. Hasani, R. Grosu, D. Rus, T.A. Henzinger, in:, 2021 IEEE International
Conference on Robotics and Automation, 2021, pp. 4140–4147.
conference:
end_date: 2021-06-05
location: Xi'an, China
name: 'ICRA: International Conference on Robotics and Automation'
start_date: 2021-05-30
date_created: 2022-01-25T15:44:54Z
date_published: 2021-01-01T00:00:00Z
date_updated: 2023-08-17T06:58:38Z
ddc:
- '000'
department:
- _id: GradSch
- _id: ToHe
doi: 10.1109/ICRA48506.2021.9561036
external_id:
arxiv:
- '2103.08187'
isi:
- '000765738803040'
has_accepted_license: '1'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/2103.08187
oa: 1
oa_version: None
page: 4140-4147
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
publication: 2021 IEEE International Conference on Robotics and Automation
publication_identifier:
eisbn:
- 978-1-7281-9077-8
eissn:
- 2577-087X
isbn:
- 978-1-7281-9078-5
issn:
- 1050-4729
publication_status: published
quality_controlled: '1'
related_material:
record:
- id: '11362'
relation: dissertation_contains
status: public
series_title: ICRA
status: public
title: Adversarial training is not ready for robot learning
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND
3.0)
short: CC BY-NC-ND (3.0)
type: conference
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
year: '2021'
...
---
_id: '10711'
abstract:
- lang: eng
text: In this paper, we investigate the distribution of the maximum of partial sums
of families of m -periodic complex-valued functions satisfying certain conditions.
We obtain precise uniform estimates for the distribution function of this maximum
in a near-optimal range. Our results apply to partial sums of Kloosterman sums
and other families of ℓ -adic trace functions, and are as strong as those obtained
by Bober, Goldmakher, Granville and Koukoulopoulos for character sums. In particular,
we improve on the recent work of the third author for Birch sums. However, unlike
character sums, we are able to construct families of m -periodic complex-valued
functions which satisfy our conditions, but for which the Pólya–Vinogradov inequality
is sharp.
acknowledgement: We would like to thank the anonymous referees for carefully reading
the paper and for their remarks and suggestions.
article_processing_charge: No
article_type: original
author:
- first_name: Pascal
full_name: Autissier, Pascal
last_name: Autissier
- first_name: Dante
full_name: Bonolis, Dante
id: 6A459894-5FDD-11E9-AF35-BB24E6697425
last_name: Bonolis
- first_name: Youness
full_name: Lamzouri, Youness
last_name: Lamzouri
citation:
ama: Autissier P, Bonolis D, Lamzouri Y. The distribution of the maximum of partial
sums of Kloosterman sums and other trace functions. Compositio Mathematica.
2021;157(7):1610-1651. doi:10.1112/s0010437x21007351
apa: Autissier, P., Bonolis, D., & Lamzouri, Y. (2021). The distribution of
the maximum of partial sums of Kloosterman sums and other trace functions. Compositio
Mathematica. Cambridge University Press. https://doi.org/10.1112/s0010437x21007351
chicago: Autissier, Pascal, Dante Bonolis, and Youness Lamzouri. “The Distribution
of the Maximum of Partial Sums of Kloosterman Sums and Other Trace Functions.”
Compositio Mathematica. Cambridge University Press, 2021. https://doi.org/10.1112/s0010437x21007351.
ieee: P. Autissier, D. Bonolis, and Y. Lamzouri, “The distribution of the maximum
of partial sums of Kloosterman sums and other trace functions,” Compositio
Mathematica, vol. 157, no. 7. Cambridge University Press, pp. 1610–1651, 2021.
ista: Autissier P, Bonolis D, Lamzouri Y. 2021. The distribution of the maximum
of partial sums of Kloosterman sums and other trace functions. Compositio Mathematica.
157(7), 1610–1651.
mla: Autissier, Pascal, et al. “The Distribution of the Maximum of Partial Sums
of Kloosterman Sums and Other Trace Functions.” Compositio Mathematica,
vol. 157, no. 7, Cambridge University Press, 2021, pp. 1610–51, doi:10.1112/s0010437x21007351.
short: P. Autissier, D. Bonolis, Y. Lamzouri, Compositio Mathematica 157 (2021)
1610–1651.
date_created: 2022-02-01T08:10:43Z
date_published: 2021-06-28T00:00:00Z
date_updated: 2023-08-17T06:59:16Z
day: '28'
department:
- _id: TiBr
doi: 10.1112/s0010437x21007351
external_id:
arxiv:
- '1909.03266'
isi:
- '000667289300001'
intvolume: ' 157'
isi: 1
issue: '7'
keyword:
- Algebra and Number Theory
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1909.03266
month: '06'
oa: 1
oa_version: Preprint
page: 1610-1651
publication: Compositio Mathematica
publication_identifier:
eissn:
- 1570-5846
issn:
- 0010-437X
publication_status: published
publisher: Cambridge University Press
quality_controlled: '1'
status: public
title: The distribution of the maximum of partial sums of Kloosterman sums and other
trace functions
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 157
year: '2021'
...
---
_id: '10858'
abstract:
- lang: eng
text: The cost-effective conversion of low-grade heat into electricity using thermoelectric
devices requires developing alternative materials and material processing technologies
able to reduce the currently high device manufacturing costs. In this direction,
thermoelectric materials that do not rely on rare or toxic elements such as tellurium
or lead need to be produced using high-throughput technologies not involving high
temperatures and long processes. Bi2Se3 is an obvious possible Te-free alternative
to Bi2Te3 for ambient temperature thermoelectric applications, but its performance
is still low for practical applications, and additional efforts toward finding
proper dopants are required. Here, we report a scalable method to produce Bi2Se3
nanosheets at low synthesis temperatures. We studied the influence of different
dopants on the thermoelectric properties of this material. Among the elements
tested, we demonstrated that Sn doping resulted in the best performance. Sn incorporation
resulted in a significant improvement to the Bi2Se3 Seebeck coefficient and a
reduction in the thermal conductivity in the direction of the hot-press axis,
resulting in an overall 60% improvement in the thermoelectric figure of merit
of Bi2Se3.
acknowledgement: "M.L., Y.Z., T.Z. and K.X. thank the China Scholarship Council for
their scholarship\r\nsupport. Y.L. acknowledges funding from the European Union’s
Horizon 2020 research and\r\ninnovation program under the Marie Sklodowska-Curie
grant agreement No. 754411. J.L. thanks the ICREA Academia program and projects
MICINN/FEDER RTI2018-093996-B-C31 and G.C. 2017 SGR 128. ICN2 acknowledges funding
from the Generalitat de Catalunya 2017 SGR 327 and the Spanish MINECO ENE2017-85087-C3."
article_number: '1827'
article_processing_charge: No
article_type: original
author:
- first_name: Mengyao
full_name: Li, Mengyao
last_name: Li
- first_name: Yu
full_name: Zhang, Yu
last_name: Zhang
- first_name: Ting
full_name: Zhang, Ting
last_name: Zhang
- first_name: Yong
full_name: Zuo, Yong
last_name: Zuo
- first_name: Ke
full_name: Xiao, Ke
last_name: Xiao
- first_name: Jordi
full_name: Arbiol, Jordi
last_name: Arbiol
- first_name: Jordi
full_name: Llorca, Jordi
last_name: Llorca
- first_name: Yu
full_name: Liu, Yu
id: 2A70014E-F248-11E8-B48F-1D18A9856A87
last_name: Liu
orcid: 0000-0001-7313-6740
- first_name: Andreu
full_name: Cabot, Andreu
last_name: Cabot
citation:
ama: Li M, Zhang Y, Zhang T, et al. Enhanced thermoelectric performance of n-type
Bi2Se3 nanosheets through Sn doping. Nanomaterials. 2021;11(7). doi:10.3390/nano11071827
apa: Li, M., Zhang, Y., Zhang, T., Zuo, Y., Xiao, K., Arbiol, J., … Cabot, A. (2021).
Enhanced thermoelectric performance of n-type Bi2Se3 nanosheets through Sn doping.
Nanomaterials. MDPI. https://doi.org/10.3390/nano11071827
chicago: Li, Mengyao, Yu Zhang, Ting Zhang, Yong Zuo, Ke Xiao, Jordi Arbiol, Jordi
Llorca, Yu Liu, and Andreu Cabot. “Enhanced Thermoelectric Performance of N-Type
Bi2Se3 Nanosheets through Sn Doping.” Nanomaterials. MDPI, 2021. https://doi.org/10.3390/nano11071827.
ieee: M. Li et al., “Enhanced thermoelectric performance of n-type Bi2Se3
nanosheets through Sn doping,” Nanomaterials, vol. 11, no. 7. MDPI, 2021.
ista: Li M, Zhang Y, Zhang T, Zuo Y, Xiao K, Arbiol J, Llorca J, Liu Y, Cabot A.
2021. Enhanced thermoelectric performance of n-type Bi2Se3 nanosheets through
Sn doping. Nanomaterials. 11(7), 1827.
mla: Li, Mengyao, et al. “Enhanced Thermoelectric Performance of N-Type Bi2Se3 Nanosheets
through Sn Doping.” Nanomaterials, vol. 11, no. 7, 1827, MDPI, 2021, doi:10.3390/nano11071827.
short: M. Li, Y. Zhang, T. Zhang, Y. Zuo, K. Xiao, J. Arbiol, J. Llorca, Y. Liu,
A. Cabot, Nanomaterials 11 (2021).
date_created: 2022-03-18T09:45:02Z
date_published: 2021-07-14T00:00:00Z
date_updated: 2023-08-17T07:08:30Z
day: '14'
ddc:
- '540'
department:
- _id: MaIb
doi: 10.3390/nano11071827
ec_funded: 1
external_id:
isi:
- '000676570000001'
file:
- access_level: open_access
checksum: f28a8b5cf80f5605828359bb398463b0
content_type: application/pdf
creator: dernst
date_created: 2022-03-18T09:53:15Z
date_updated: 2022-03-18T09:53:15Z
file_id: '10859'
file_name: 2021_Nanomaterials_Li.pdf
file_size: 4867547
relation: main_file
success: 1
file_date_updated: 2022-03-18T09:53:15Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
issue: '7'
keyword:
- General Materials Science
- General Chemical Engineering
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Nanomaterials
publication_identifier:
issn:
- 2079-4991
publication_status: published
publisher: MDPI
quality_controlled: '1'
scopus_import: '1'
status: public
title: Enhanced thermoelectric performance of n-type Bi2Se3 nanosheets through Sn
doping
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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 11
year: '2021'
...