---
_id: '13197'
abstract:
- lang: eng
text: "Nominally identical materials exchange net electric charge during contact
through a mechanism that is still debated. ‘Mosaic models’, in which surfaces
are presumed to consist of a random patchwork of microscopic donor/acceptor sites,
offer an appealing explanation for this phenomenon. However, recent experiments
have shown that global differences persist even between same-material samples,
which the standard mosaic framework does not account for. Here, we expand the
mosaic framework by incorporating global differences in the densities of donor/acceptor
sites. We develop\r\nan analytical model, backed by numerical simulations, that
smoothly connects the global and deterministic charge transfer of different materials
to the local and stochastic mosaic picture normally associated with identical
materials. Going further, we extend our model to explain the effect of contact
asymmetries during sliding, providing a plausible explanation for reversal of
charging sign that has been observed experimentally."
acknowledgement: "This project has received funding from the European Research Council
Grant Agreement No. 949120 and from\r\nthe European Union’s Horizon 2020 research
and innovation program under the Marie Sklodowska-Curie Grant\r\nAgreement No. 754411. "
article_number: '065601'
article_processing_charge: No
article_type: original
author:
- first_name: Galien M
full_name: Grosjean, Galien M
id: 0C5FDA4A-9CF6-11E9-8939-FF05E6697425
last_name: Grosjean
orcid: 0000-0001-5154-417X
- first_name: Scott R
full_name: Waitukaitis, Scott R
id: 3A1FFC16-F248-11E8-B48F-1D18A9856A87
last_name: Waitukaitis
orcid: 0000-0002-2299-3176
citation:
ama: 'Grosjean GM, Waitukaitis SR. Asymmetries in triboelectric charging: Generalizing
mosaic models to different-material samples and sliding contacts. Physical
Review Materials. 2023;7(6). doi:10.1103/physrevmaterials.7.065601'
apa: 'Grosjean, G. M., & Waitukaitis, S. R. (2023). Asymmetries in triboelectric
charging: Generalizing mosaic models to different-material samples and sliding
contacts. Physical Review Materials. American Physical Society. https://doi.org/10.1103/physrevmaterials.7.065601'
chicago: 'Grosjean, Galien M, and Scott R Waitukaitis. “Asymmetries in Triboelectric
Charging: Generalizing Mosaic Models to Different-Material Samples and Sliding
Contacts.” Physical Review Materials. American Physical Society, 2023.
https://doi.org/10.1103/physrevmaterials.7.065601.'
ieee: 'G. M. Grosjean and S. R. Waitukaitis, “Asymmetries in triboelectric charging:
Generalizing mosaic models to different-material samples and sliding contacts,”
Physical Review Materials, vol. 7, no. 6. American Physical Society, 2023.'
ista: 'Grosjean GM, Waitukaitis SR. 2023. Asymmetries in triboelectric charging:
Generalizing mosaic models to different-material samples and sliding contacts.
Physical Review Materials. 7(6), 065601.'
mla: 'Grosjean, Galien M., and Scott R. Waitukaitis. “Asymmetries in Triboelectric
Charging: Generalizing Mosaic Models to Different-Material Samples and Sliding
Contacts.” Physical Review Materials, vol. 7, no. 6, 065601, American Physical
Society, 2023, doi:10.1103/physrevmaterials.7.065601.'
short: G.M. Grosjean, S.R. Waitukaitis, Physical Review Materials 7 (2023).
date_created: 2023-07-07T12:48:01Z
date_published: 2023-06-13T00:00:00Z
date_updated: 2023-08-02T06:34:47Z
day: '13'
ddc:
- '537'
department:
- _id: ScWa
doi: 10.1103/physrevmaterials.7.065601
ec_funded: 1
external_id:
arxiv:
- '2304.12861'
isi:
- '001019565900002'
file:
- access_level: open_access
checksum: 75584730d9cdd50eeccb4c52c509776d
content_type: application/pdf
creator: ggrosjea
date_created: 2023-07-07T12:49:51Z
date_updated: 2023-07-07T12:49:51Z
file_id: '13198'
file_name: Mosaic_asymmetries.pdf
file_size: 1127040
relation: main_file
success: 1
file_date_updated: 2023-07-07T12:49:51Z
has_accepted_license: '1'
intvolume: ' 7'
isi: 1
issue: '6'
keyword:
- Physics and Astronomy (miscellaneous)
- General Materials Science
language:
- iso: eng
month: '06'
oa: 1
oa_version: Submitted Version
project:
- _id: 0aa60e99-070f-11eb-9043-a6de6bdc3afa
call_identifier: H2020
grant_number: '949120'
name: 'Tribocharge: a multi-scale approach to an enduring problem in physics'
- _id: 260C2330-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '754411'
name: ISTplus - Postdoctoral Fellowships
publication: Physical Review Materials
publication_identifier:
issn:
- 2475-9953
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
status: public
title: 'Asymmetries in triboelectric charging: Generalizing mosaic models to different-material
samples and sliding contacts'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 7
year: '2023'
...
---
_id: '13230'
abstract:
- lang: eng
text: 'To interpret the sensory environment, the brain combines ambiguous sensory
measurements with knowledge that reflects context-specific prior experience. But
environmental contexts can change abruptly and unpredictably, resulting in uncertainty
about the current context. Here we address two questions: how should context-specific
prior knowledge optimally guide the interpretation of sensory stimuli in changing
environments, and do human decision-making strategies resemble this optimum? We
probe these questions with a task in which subjects report the orientation of
ambiguous visual stimuli that were drawn from three dynamically switching distributions,
representing different environmental contexts. We derive predictions for an ideal
Bayesian observer that leverages knowledge about the statistical structure of
the task to maximize decision accuracy, including knowledge about the dynamics
of the environment. We show that its decisions are biased by the dynamically changing
task context. The magnitude of this decision bias depends on the observer’s continually
evolving belief about the current context. The model therefore not only predicts
that decision bias will grow as the context is indicated more reliably, but also
as the stability of the environment increases, and as the number of trials since
the last context switch grows. Analysis of human choice data validates all three
predictions, suggesting that the brain leverages knowledge of the statistical
structure of environmental change when interpreting ambiguous sensory signals.'
acknowledgement: The authors thank Corey Ziemba and Zoe Boundy-Singer for valuable
discussion and feedback.
article_number: e1011104
article_processing_charge: No
article_type: original
author:
- first_name: Julie A.
full_name: Charlton, Julie A.
last_name: Charlton
- first_name: Wiktor F
full_name: Mlynarski, Wiktor F
id: 358A453A-F248-11E8-B48F-1D18A9856A87
last_name: Mlynarski
- first_name: Yoon H.
full_name: Bai, Yoon H.
last_name: Bai
- first_name: Ann M.
full_name: Hermundstad, Ann M.
last_name: Hermundstad
- first_name: Robbe L.T.
full_name: Goris, Robbe L.T.
last_name: Goris
citation:
ama: Charlton JA, Mlynarski WF, Bai YH, Hermundstad AM, Goris RLT. Environmental
dynamics shape perceptual decision bias. PLoS Computational Biology. 2023;19(6).
doi:10.1371/journal.pcbi.1011104
apa: Charlton, J. A., Mlynarski, W. F., Bai, Y. H., Hermundstad, A. M., & Goris,
R. L. T. (2023). Environmental dynamics shape perceptual decision bias. PLoS
Computational Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1011104
chicago: Charlton, Julie A., Wiktor F Mlynarski, Yoon H. Bai, Ann M. Hermundstad,
and Robbe L.T. Goris. “Environmental Dynamics Shape Perceptual Decision Bias.”
PLoS Computational Biology. Public Library of Science, 2023. https://doi.org/10.1371/journal.pcbi.1011104.
ieee: J. A. Charlton, W. F. Mlynarski, Y. H. Bai, A. M. Hermundstad, and R. L. T.
Goris, “Environmental dynamics shape perceptual decision bias,” PLoS Computational
Biology, vol. 19, no. 6. Public Library of Science, 2023.
ista: Charlton JA, Mlynarski WF, Bai YH, Hermundstad AM, Goris RLT. 2023. Environmental
dynamics shape perceptual decision bias. PLoS Computational Biology. 19(6), e1011104.
mla: Charlton, Julie A., et al. “Environmental Dynamics Shape Perceptual Decision
Bias.” PLoS Computational Biology, vol. 19, no. 6, e1011104, Public Library
of Science, 2023, doi:10.1371/journal.pcbi.1011104.
short: J.A. Charlton, W.F. Mlynarski, Y.H. Bai, A.M. Hermundstad, R.L.T. Goris,
PLoS Computational Biology 19 (2023).
date_created: 2023-07-16T22:01:09Z
date_published: 2023-06-08T00:00:00Z
date_updated: 2023-08-02T06:33:50Z
day: '08'
ddc:
- '570'
department:
- _id: MaJö
doi: 10.1371/journal.pcbi.1011104
external_id:
isi:
- '001003410200003'
pmid:
- '37289753'
file:
- access_level: open_access
checksum: 800761fa2c647fabd6ad034589bc526e
content_type: application/pdf
creator: dernst
date_created: 2023-07-18T08:07:59Z
date_updated: 2023-07-18T08:07:59Z
file_id: '13247'
file_name: 2023_PloSCompBio_Charlton.pdf
file_size: 2281868
relation: main_file
success: 1
file_date_updated: 2023-07-18T08:07:59Z
has_accepted_license: '1'
intvolume: ' 19'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS Computational Biology
publication_identifier:
eissn:
- 1553-7358
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Environmental dynamics shape perceptual decision bias
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: 19
year: '2023'
...
---
_id: '13232'
abstract:
- lang: eng
text: The potential of immune-evasive mutation accumulation in the SARS-CoV-2 virus
has led to its rapid spread, causing over 600 million confirmed cases and more
than 6.5 million confirmed deaths. The huge demand for the rapid development and
deployment of low-cost and effective vaccines against emerging variants has renewed
interest in DNA vaccine technology. Here, we report the rapid generation and immunological
evaluation of novel DNA vaccine candidates against the Wuhan-Hu-1 and Omicron
variants based on the RBD protein fused with the Potato virus X coat protein (PVXCP).
The delivery of DNA vaccines using electroporation in a two-dose regimen induced
high-antibody titers and profound cellular responses in mice. The antibody titers
induced against the Omicron variant of the vaccine were sufficient for effective
protection against both Omicron and Wuhan-Hu-1 virus infections. The PVXCP protein
in the vaccine construct shifted the immune response to the favorable Th1-like
type and provided the oligomerization of RBD-PVXCP protein. Naked DNA delivery
by needle-free injection allowed us to achieve antibody titers comparable with
mRNA-LNP delivery in rabbits. These data identify the RBD-PVXCP DNA vaccine platform
as a promising solution for robust and effective SARS-CoV-2 protection, supporting
further translational study.
acknowledgement: The authors declare that this study received funding from Immunofusion.
The funder was not involved in the study design, collection, analysis, interpretation
of data, the writing of this article, or the decision to submit it for publication.
The authors express their gratitude to the Institute of Physiology of the National
Academy of Sciences of Belarus for providing assistance in keeping laboratory animals.
article_number: '1014'
article_processing_charge: No
article_type: original
author:
- first_name: Dmitri
full_name: Dormeshkin, Dmitri
last_name: Dormeshkin
- first_name: Mikalai
full_name: Katsin, Mikalai
last_name: Katsin
- first_name: Maria
full_name: Stegantseva, Maria
last_name: Stegantseva
- first_name: Sergey
full_name: Golenchenko, Sergey
last_name: Golenchenko
- first_name: Michail
full_name: Shapira, Michail
last_name: Shapira
- first_name: Simon
full_name: Dubovik, Simon
last_name: Dubovik
- first_name: Dzmitry
full_name: Lutskovich, Dzmitry
last_name: Lutskovich
- first_name: Anton
full_name: Kavaleuski, Anton
id: 62304f89-eb97-11eb-a6c2-8903dd183976
last_name: Kavaleuski
orcid: 0000-0003-2091-526X
- first_name: Alexander
full_name: Meleshko, Alexander
last_name: Meleshko
citation:
ama: Dormeshkin D, Katsin M, Stegantseva M, et al. Design and immunogenicity of
SARS-CoV-2 DNA vaccine encoding RBD-PVXCP fusion protein. Vaccines. 2023;11(6).
doi:10.3390/vaccines11061014
apa: Dormeshkin, D., Katsin, M., Stegantseva, M., Golenchenko, S., Shapira, M.,
Dubovik, S., … Meleshko, A. (2023). Design and immunogenicity of SARS-CoV-2 DNA
vaccine encoding RBD-PVXCP fusion protein. Vaccines. MDPI. https://doi.org/10.3390/vaccines11061014
chicago: Dormeshkin, Dmitri, Mikalai Katsin, Maria Stegantseva, Sergey Golenchenko,
Michail Shapira, Simon Dubovik, Dzmitry Lutskovich, Anton Kavaleuski, and Alexander
Meleshko. “Design and Immunogenicity of SARS-CoV-2 DNA Vaccine Encoding RBD-PVXCP
Fusion Protein.” Vaccines. MDPI, 2023. https://doi.org/10.3390/vaccines11061014.
ieee: D. Dormeshkin et al., “Design and immunogenicity of SARS-CoV-2 DNA
vaccine encoding RBD-PVXCP fusion protein,” Vaccines, vol. 11, no. 6. MDPI,
2023.
ista: Dormeshkin D, Katsin M, Stegantseva M, Golenchenko S, Shapira M, Dubovik S,
Lutskovich D, Kavaleuski A, Meleshko A. 2023. Design and immunogenicity of SARS-CoV-2
DNA vaccine encoding RBD-PVXCP fusion protein. Vaccines. 11(6), 1014.
mla: Dormeshkin, Dmitri, et al. “Design and Immunogenicity of SARS-CoV-2 DNA Vaccine
Encoding RBD-PVXCP Fusion Protein.” Vaccines, vol. 11, no. 6, 1014, MDPI,
2023, doi:10.3390/vaccines11061014.
short: D. Dormeshkin, M. Katsin, M. Stegantseva, S. Golenchenko, M. Shapira, S.
Dubovik, D. Lutskovich, A. Kavaleuski, A. Meleshko, Vaccines 11 (2023).
date_created: 2023-07-16T22:01:10Z
date_published: 2023-06-01T00:00:00Z
date_updated: 2023-08-02T06:31:19Z
day: '01'
ddc:
- '570'
department:
- _id: LeSa
doi: 10.3390/vaccines11061014
external_id:
isi:
- '001017740000001'
file:
- access_level: open_access
checksum: 8f484c0f30f8699c589b1c29a0fd7d7f
content_type: application/pdf
creator: dernst
date_created: 2023-07-18T07:25:43Z
date_updated: 2023-07-18T07:25:43Z
file_id: '13244'
file_name: 2023_Vaccines_Dormeshkin.pdf
file_size: 2339746
relation: main_file
success: 1
file_date_updated: 2023-07-18T07:25:43Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
publication: Vaccines
publication_identifier:
eissn:
- 2076-393X
publication_status: published
publisher: MDPI
quality_controlled: '1'
scopus_import: '1'
status: public
title: Design and immunogenicity of SARS-CoV-2 DNA vaccine encoding RBD-PVXCP fusion
protein
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: '2023'
...
---
_id: '13235'
abstract:
- lang: eng
text: AgSbSe2 is a promising thermoelectric (TE) p-type material for applications
in the middle-temperature range. AgSbSe2 is characterized by relatively low thermal
conductivities and high Seebeck coefficients, but its main limitation is moderate
electrical conductivity. Herein, we detail an efficient and scalable hot-injection
synthesis route to produce AgSbSe2 nanocrystals (NCs). To increase the carrier
concentration and improve the electrical conductivity, these NCs are doped with
Sn2+ on Sb3+ sites. Upon processing, the Sn2+ chemical state is conserved using
a reducing NaBH4 solution to displace the organic ligand and anneal the material
under a forming gas flow. The TE properties of the dense materials obtained from
the consolidation of the NCs using a hot pressing are then characterized. The
presence of Sn2+ ions replacing Sb3+ significantly increases the charge carrier
concentration and, consequently, the electrical conductivity. Opportunely, the
measured Seebeck coefficient varied within a small range upon Sn doping. The excellent
performance obtained when Sn2+ ions are prevented from oxidation is rationalized
by modeling the system. Calculated band structures disclosed that Sn doping induces
convergence of the AgSbSe2 valence bands, accounting for an enhanced electronic
effective mass. The dramatically enhanced carrier transport leads to a maximized
power factor for AgSb0.98Sn0.02Se2 of 0.63 mW m–1 K–2 at 640 K. Thermally, phonon
scattering is significantly enhanced in the NC-based materials, yielding an ultralow
thermal conductivity of 0.3 W mK–1 at 666 K. Overall, a record-high figure of
merit (zT) is obtained at 666 K for AgSb0.98Sn0.02Se2 at zT = 1.37, well above
the values obtained for undoped AgSbSe2, at zT = 0.58 and state-of-art Pb- and
Te-free materials, which makes AgSb0.98Sn0.02Se2 an excellent p-type candidate
for medium-temperature TE applications.
acknowledgement: Y.L. acknowledges funding from the National Natural Science Foundation
of China (NSFC) (Grants No. 22209034), the Innovation and Entrepreneurship Project
of Overseas Returnees in Anhui Province (Grant No. 2022LCX002). K.H.L. acknowledges
financial support from the National Natural Science Foundation of China (Grant No.
22208293). Y.Z. acknowledges support from the SBIR program NanoOhmics. J.L. is grateful
for the project supported by the Natural Science Foundation of Sichuan (2022NSFSC1229).
M.I. acknowledges financial support from ISTA and the Werner Siemens Foundation.
article_processing_charge: No
article_type: original
author:
- first_name: Yu
full_name: Liu, Yu
id: 2A70014E-F248-11E8-B48F-1D18A9856A87
last_name: Liu
orcid: 0000-0001-7313-6740
- first_name: Mingquan
full_name: Li, Mingquan
last_name: Li
- first_name: Shanhong
full_name: Wan, Shanhong
last_name: Wan
- first_name: Khak Ho
full_name: Lim, Khak Ho
last_name: Lim
- first_name: Yu
full_name: Zhang, Yu
last_name: Zhang
- first_name: Mengyao
full_name: Li, Mengyao
last_name: Li
- first_name: Junshan
full_name: Li, Junshan
last_name: Li
- first_name: Maria
full_name: Ibáñez, Maria
id: 43C61214-F248-11E8-B48F-1D18A9856A87
last_name: Ibáñez
orcid: 0000-0001-5013-2843
- first_name: Min
full_name: Hong, Min
last_name: Hong
- first_name: Andreu
full_name: Cabot, Andreu
last_name: Cabot
citation:
ama: 'Liu Y, Li M, Wan S, et al. Surface chemistry and band engineering in AgSbSe₂:
Toward high thermoelectric performance. ACS Nano. 2023;17(12):11923–11934.
doi:10.1021/acsnano.3c03541'
apa: 'Liu, Y., Li, M., Wan, S., Lim, K. H., Zhang, Y., Li, M., … Cabot, A. (2023).
Surface chemistry and band engineering in AgSbSe₂: Toward high thermoelectric
performance. ACS Nano. American Chemical Society. https://doi.org/10.1021/acsnano.3c03541'
chicago: 'Liu, Yu, Mingquan Li, Shanhong Wan, Khak Ho Lim, Yu Zhang, Mengyao Li,
Junshan Li, Maria Ibáñez, Min Hong, and Andreu Cabot. “Surface Chemistry and Band
Engineering in AgSbSe₂: Toward High Thermoelectric Performance.” ACS Nano.
American Chemical Society, 2023. https://doi.org/10.1021/acsnano.3c03541.'
ieee: 'Y. Liu et al., “Surface chemistry and band engineering in AgSbSe₂:
Toward high thermoelectric performance,” ACS Nano, vol. 17, no. 12. American
Chemical Society, pp. 11923–11934, 2023.'
ista: 'Liu Y, Li M, Wan S, Lim KH, Zhang Y, Li M, Li J, Ibáñez M, Hong M, Cabot
A. 2023. Surface chemistry and band engineering in AgSbSe₂: Toward high thermoelectric
performance. ACS Nano. 17(12), 11923–11934.'
mla: 'Liu, Yu, et al. “Surface Chemistry and Band Engineering in AgSbSe₂: Toward
High Thermoelectric Performance.” ACS Nano, vol. 17, no. 12, American Chemical
Society, 2023, pp. 11923–11934, doi:10.1021/acsnano.3c03541.'
short: Y. Liu, M. Li, S. Wan, K.H. Lim, Y. Zhang, M. Li, J. Li, M. Ibáñez, M. Hong,
A. Cabot, ACS Nano 17 (2023) 11923–11934.
date_created: 2023-07-16T22:01:11Z
date_published: 2023-06-13T00:00:00Z
date_updated: 2023-08-02T06:29:55Z
day: '13'
department:
- _id: MaIb
doi: 10.1021/acsnano.3c03541
external_id:
isi:
- '001008564800001'
pmid:
- '37310395'
intvolume: ' 17'
isi: 1
issue: '12'
language:
- iso: eng
month: '06'
oa_version: None
page: 11923–11934
pmid: 1
project:
- _id: 9B8F7476-BA93-11EA-9121-9846C619BF3A
name: 'HighTE: The Werner Siemens Laboratory for the High Throughput Discovery of
Semiconductors for Waste Heat Recovery'
publication: ACS Nano
publication_identifier:
eissn:
- 1936-086X
issn:
- 1936-0851
publication_status: published
publisher: American Chemical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Surface chemistry and band engineering in AgSbSe₂: Toward high thermoelectric
performance'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 17
year: '2023'
...
---
_id: '13231'
abstract:
- lang: eng
text: We study ab initio approaches for calculating x-ray Thomson scattering spectra
from density functional theory molecular dynamics simulations based on a modified
Chihara formula that expresses the inelastic contribution in terms of the dielectric
function. We study the electronic dynamic structure factor computed from the Mermin
dielectric function using an ab initio electron-ion collision frequency in comparison
to computations using a linear-response time-dependent density functional theory
(LR-TDDFT) framework for hydrogen and beryllium and investigate the dispersion
of free-free and bound-free contributions to the scattering signal. A separate
treatment of these contributions, where only the free-free part follows the Mermin
dispersion, shows good agreement with LR-TDDFT results for ambient-density beryllium,
but breaks down for highly compressed matter where the bound states become pressure
ionized. LR-TDDFT is used to reanalyze x-ray Thomson scattering experiments on
beryllium demonstrating strong deviations from the plasma conditions inferred
with traditional analytic models at small scattering angles.
acknowledgement: "We want to thank P. Sperling, B. Witte, M. French, G. Röpke, H.
J. Lee and A. Cangi for many helpful discussions. M. S. and R. R. acknowledge support
by the Deutsche Forschungsgemeinschaft (DFG) within the Research Unit FOR 2440.
All simulations and analyses were performed at the North-German Supercomputing Alliance
(HLRN) and the ITMZ of the University of Rostock. M. B. gratefully acknowledges
support by the European Horizon 2020 programme within the Marie Sklodowska-Curie
actions (xICE grant 894725) and the\r\nNOMIS foundation. The work of T. D. was performed
under the auspices of the U.S. Department of Energy by Lawrence Livermore National
Laboratory under Contract No. DE-AC52-07NA27344."
article_number: '065207'
article_processing_charge: No
article_type: original
author:
- first_name: Maximilian
full_name: Schörner, Maximilian
last_name: Schörner
- first_name: Mandy
full_name: Bethkenhagen, Mandy
id: 201939f4-803f-11ed-ab7e-d8da4bd1517f
last_name: Bethkenhagen
orcid: 0000-0002-1838-2129
- first_name: Tilo
full_name: Döppner, Tilo
last_name: Döppner
- first_name: Dominik
full_name: Kraus, Dominik
last_name: Kraus
- first_name: Luke B.
full_name: Fletcher, Luke B.
last_name: Fletcher
- first_name: Siegfried H.
full_name: Glenzer, Siegfried H.
last_name: Glenzer
- first_name: Ronald
full_name: Redmer, Ronald
last_name: Redmer
citation:
ama: Schörner M, Bethkenhagen M, Döppner T, et al. X-ray Thomson scattering spectra
from density functional theory molecular dynamics simulations based on a modified
Chihara formula. Physical Review E. 2023;107(6). doi:10.1103/PhysRevE.107.065207
apa: Schörner, M., Bethkenhagen, M., Döppner, T., Kraus, D., Fletcher, L. B., Glenzer,
S. H., & Redmer, R. (2023). X-ray Thomson scattering spectra from density
functional theory molecular dynamics simulations based on a modified Chihara formula.
Physical Review E. American Physical Society. https://doi.org/10.1103/PhysRevE.107.065207
chicago: Schörner, Maximilian, Mandy Bethkenhagen, Tilo Döppner, Dominik Kraus,
Luke B. Fletcher, Siegfried H. Glenzer, and Ronald Redmer. “X-Ray Thomson Scattering
Spectra from Density Functional Theory Molecular Dynamics Simulations Based on
a Modified Chihara Formula.” Physical Review E. American Physical Society,
2023. https://doi.org/10.1103/PhysRevE.107.065207.
ieee: M. Schörner et al., “X-ray Thomson scattering spectra from density
functional theory molecular dynamics simulations based on a modified Chihara formula,”
Physical Review E, vol. 107, no. 6. American Physical Society, 2023.
ista: Schörner M, Bethkenhagen M, Döppner T, Kraus D, Fletcher LB, Glenzer SH, Redmer
R. 2023. X-ray Thomson scattering spectra from density functional theory molecular
dynamics simulations based on a modified Chihara formula. Physical Review E. 107(6),
065207.
mla: Schörner, Maximilian, et al. “X-Ray Thomson Scattering Spectra from Density
Functional Theory Molecular Dynamics Simulations Based on a Modified Chihara Formula.”
Physical Review E, vol. 107, no. 6, 065207, American Physical Society,
2023, doi:10.1103/PhysRevE.107.065207.
short: M. Schörner, M. Bethkenhagen, T. Döppner, D. Kraus, L.B. Fletcher, S.H. Glenzer,
R. Redmer, Physical Review E 107 (2023).
date_created: 2023-07-16T22:01:10Z
date_published: 2023-06-14T00:00:00Z
date_updated: 2023-08-02T06:30:46Z
day: '14'
department:
- _id: BiCh
doi: 10.1103/PhysRevE.107.065207
external_id:
arxiv:
- '2301.01545'
isi:
- '001020265000002'
intvolume: ' 107'
isi: 1
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.48550/arXiv.2301.01545
month: '06'
oa: 1
oa_version: Preprint
publication: Physical Review E
publication_identifier:
eissn:
- 2470-0053
issn:
- 2470-0045
publication_status: published
publisher: American Physical Society
quality_controlled: '1'
scopus_import: '1'
status: public
title: X-ray Thomson scattering spectra from density functional theory molecular dynamics
simulations based on a modified Chihara formula
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 107
year: '2023'
...