---
_id: '9737'
article_processing_charge: No
author:
- first_name: Olga
full_name: Symonova, Olga
id: 3C0C7BC6-F248-11E8-B48F-1D18A9856A87
last_name: Symonova
- first_name: Christopher
full_name: Topp, Christopher
last_name: Topp
- first_name: Herbert
full_name: Edelsbrunner, Herbert
id: 3FB178DA-F248-11E8-B48F-1D18A9856A87
last_name: Edelsbrunner
orcid: 0000-0002-9823-6833
citation:
ama: Symonova O, Topp C, Edelsbrunner H. Root traits computed by DynamicRoots for
the maize root shown in fig 2. 2015. doi:10.1371/journal.pone.0127657.s001
apa: Symonova, O., Topp, C., & Edelsbrunner, H. (2015). Root traits computed
by DynamicRoots for the maize root shown in fig 2. Public Library of Science.
https://doi.org/10.1371/journal.pone.0127657.s001
chicago: Symonova, Olga, Christopher Topp, and Herbert Edelsbrunner. “Root Traits
Computed by DynamicRoots for the Maize Root Shown in Fig 2.” Public Library of
Science, 2015. https://doi.org/10.1371/journal.pone.0127657.s001.
ieee: O. Symonova, C. Topp, and H. Edelsbrunner, “Root traits computed by DynamicRoots
for the maize root shown in fig 2.” Public Library of Science, 2015.
ista: Symonova O, Topp C, Edelsbrunner H. 2015. Root traits computed by DynamicRoots
for the maize root shown in fig 2, Public Library of Science, 10.1371/journal.pone.0127657.s001.
mla: Symonova, Olga, et al. Root Traits Computed by DynamicRoots for the Maize
Root Shown in Fig 2. Public Library of Science, 2015, doi:10.1371/journal.pone.0127657.s001.
short: O. Symonova, C. Topp, H. Edelsbrunner, (2015).
date_created: 2021-07-28T06:20:13Z
date_published: 2015-06-01T00:00:00Z
date_updated: 2023-02-23T10:14:42Z
day: '01'
department:
- _id: MaJö
- _id: HeEd
doi: 10.1371/journal.pone.0127657.s001
month: '06'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1793'
relation: used_in_publication
status: public
status: public
title: Root traits computed by DynamicRoots for the maize root shown in fig 2
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '1827'
abstract:
- lang: eng
text: Bow-tie or hourglass structure is a common architectural feature found in
many biological systems. A bow-tie in a multi-layered structure occurs when intermediate
layers have much fewer components than the input and output layers. Examples include
metabolism where a handful of building blocks mediate between multiple input nutrients
and multiple output biomass components, and signaling networks where information
from numerous receptor types passes through a small set of signaling pathways
to regulate multiple output genes. Little is known, however, about how bow-tie
architectures evolve. Here, we address the evolution of bow-tie architectures
using simulations of multi-layered systems evolving to fulfill a given input-output
goal. We find that bow-ties spontaneously evolve when the information in the evolutionary
goal can be compressed. Mathematically speaking, bow-ties evolve when the rank
of the input-output matrix describing the evolutionary goal is deficient. The
maximal compression possible (the rank of the goal) determines the size of the
narrowest part of the network—that is the bow-tie. A further requirement is that
a process is active to reduce the number of links in the network, such as product-rule
mutations, otherwise a non-bow-tie solution is found in the evolutionary simulations.
This offers a mechanism to understand a common architectural principle of biological
systems, and a way to quantitate the effective rank of the goals under which they
evolved.
article_processing_charge: No
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Avraham
full_name: Mayo, Avraham
last_name: Mayo
- first_name: Tsvi
full_name: Tlusty, Tsvi
last_name: Tlusty
- first_name: Uri
full_name: Alon, Uri
last_name: Alon
citation:
ama: Friedlander T, Mayo A, Tlusty T, Alon U. Evolution of bow-tie architectures
in biology. PLoS Computational Biology. 2015;11(3). doi:10.1371/journal.pcbi.1004055
apa: Friedlander, T., Mayo, A., Tlusty, T., & Alon, U. (2015). Evolution of
bow-tie architectures in biology. PLoS Computational Biology. Public Library
of Science. https://doi.org/10.1371/journal.pcbi.1004055
chicago: Friedlander, Tamar, Avraham Mayo, Tsvi Tlusty, and Uri Alon. “Evolution
of Bow-Tie Architectures in Biology.” PLoS Computational Biology. Public
Library of Science, 2015. https://doi.org/10.1371/journal.pcbi.1004055.
ieee: T. Friedlander, A. Mayo, T. Tlusty, and U. Alon, “Evolution of bow-tie architectures
in biology,” PLoS Computational Biology, vol. 11, no. 3. Public Library
of Science, 2015.
ista: Friedlander T, Mayo A, Tlusty T, Alon U. 2015. Evolution of bow-tie architectures
in biology. PLoS Computational Biology. 11(3).
mla: Friedlander, Tamar, et al. “Evolution of Bow-Tie Architectures in Biology.”
PLoS Computational Biology, vol. 11, no. 3, Public Library of Science,
2015, doi:10.1371/journal.pcbi.1004055.
short: T. Friedlander, A. Mayo, T. Tlusty, U. Alon, PLoS Computational Biology 11
(2015).
date_created: 2018-12-11T11:54:14Z
date_published: 2015-03-23T00:00:00Z
date_updated: 2023-02-23T14:07:51Z
day: '23'
ddc:
- '576'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1004055
ec_funded: 1
file:
- access_level: open_access
checksum: b8aa66f450ff8de393014b87ec7d2efb
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:39Z
date_updated: 2020-07-14T12:45:17Z
file_id: '5161'
file_name: IST-2016-452-v1+1_journal.pcbi.1004055.pdf
file_size: 1811647
relation: main_file
file_date_updated: 2020-07-14T12:45:17Z
has_accepted_license: '1'
intvolume: ' 11'
issue: '3'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: PLoS Computational Biology
publication_status: published
publisher: Public Library of Science
publist_id: '5278'
pubrep_id: '452'
quality_controlled: '1'
related_material:
record:
- id: '9718'
relation: research_data
status: public
- id: '9773'
relation: research_data
status: public
scopus_import: 1
status: public
title: Evolution of bow-tie architectures in biology
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: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 11
year: '2015'
...
---
_id: '1809'
abstract:
- lang: eng
text: 'Background: Indirect genetic effects (IGEs) occur when genes expressed in
one individual alter the expression of traits in social partners. Previous studies
focused on the evolutionary consequences and evolutionary dynamics of IGEs, using
equilibrium solutions to predict phenotypes in subsequent generations. However,
whether or not such steady states may be reached may depend on the dynamics of
interactions themselves. Results: In our study, we focus on the dynamics of social
interactions and indirect genetic effects and investigate how they modify phenotypes
over time. Unlike previous IGE studies, we do not analyse evolutionary dynamics;
rather we consider within-individual phenotypic changes, also referred to as phenotypic
plasticity. We analyse iterative interactions, when individuals interact in a
series of discontinuous events, and investigate the stability of steady state
solutions and the dependence on model parameters, such as population size, strength,
and the nature of interactions. We show that for interactions where a feedback
loop occurs, the possible parameter space of interaction strength is fairly limited,
affecting the evolutionary consequences of IGEs. We discuss the implications of
our results for current IGE model predictions and their limitations.'
author:
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Reinmar
full_name: Hager, Reinmar
last_name: Hager
citation:
ama: Trubenova B, Novak S, Hager R. Indirect genetic effects and the dynamics of
social interactions. PLoS One. 2015;10(5). doi:10.1371/journal.pone.0126907
apa: Trubenova, B., Novak, S., & Hager, R. (2015). Indirect genetic effects
and the dynamics of social interactions. PLoS One. Public Library of Science.
https://doi.org/10.1371/journal.pone.0126907
chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Indirect Genetic
Effects and the Dynamics of Social Interactions.” PLoS One. Public Library
of Science, 2015. https://doi.org/10.1371/journal.pone.0126907.
ieee: B. Trubenova, S. Novak, and R. Hager, “Indirect genetic effects and the dynamics
of social interactions,” PLoS One, vol. 10, no. 5. Public Library of Science,
2015.
ista: Trubenova B, Novak S, Hager R. 2015. Indirect genetic effects and the dynamics
of social interactions. PLoS One. 10(5).
mla: Trubenova, Barbora, et al. “Indirect Genetic Effects and the Dynamics of Social
Interactions.” PLoS One, vol. 10, no. 5, Public Library of Science, 2015,
doi:10.1371/journal.pone.0126907.
short: B. Trubenova, S. Novak, R. Hager, PLoS One 10 (2015).
date_created: 2018-12-11T11:54:07Z
date_published: 2015-05-18T00:00:00Z
date_updated: 2023-02-23T14:07:48Z
day: '18'
ddc:
- '570'
- '576'
department:
- _id: NiBa
doi: 10.1371/journal.pone.0126907
file:
- access_level: open_access
checksum: d3a4a58ef4bd3b3e2f32b7fd7af4a743
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:09:07Z
date_updated: 2020-07-14T12:45:17Z
file_id: '4730'
file_name: IST-2016-453-v1+1_journal.pone.0126907.pdf
file_size: 2748982
relation: main_file
file_date_updated: 2020-07-14T12:45:17Z
has_accepted_license: '1'
intvolume: ' 10'
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
publication: PLoS One
publication_status: published
publisher: Public Library of Science
publist_id: '5299'
pubrep_id: '453'
quality_controlled: '1'
related_material:
record:
- id: '9715'
relation: research_data
status: public
- id: '9772'
relation: research_data
status: public
scopus_import: 1
status: public
title: Indirect genetic effects and the dynamics of social interactions
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: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 10
year: '2015'
...
---
_id: '9772'
article_processing_charge: No
author:
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Reinmar
full_name: Hager, Reinmar
last_name: Hager
citation:
ama: Trubenova B, Novak S, Hager R. Description of the agent based simulations.
2015. doi:10.1371/journal.pone.0126907.s003
apa: Trubenova, B., Novak, S., & Hager, R. (2015). Description of the agent
based simulations. Public Library of Science. https://doi.org/10.1371/journal.pone.0126907.s003
chicago: Trubenova, Barbora, Sebastian Novak, and Reinmar Hager. “Description of
the Agent Based Simulations.” Public Library of Science, 2015. https://doi.org/10.1371/journal.pone.0126907.s003.
ieee: B. Trubenova, S. Novak, and R. Hager, “Description of the agent based simulations.”
Public Library of Science, 2015.
ista: Trubenova B, Novak S, Hager R. 2015. Description of the agent based simulations,
Public Library of Science, 10.1371/journal.pone.0126907.s003.
mla: Trubenova, Barbora, et al. Description of the Agent Based Simulations.
Public Library of Science, 2015, doi:10.1371/journal.pone.0126907.s003.
short: B. Trubenova, S. Novak, R. Hager, (2015).
date_created: 2021-08-05T12:55:20Z
date_published: 2015-05-18T00:00:00Z
date_updated: 2023-02-23T10:15:25Z
day: '18'
department:
- _id: NiBa
doi: 10.1371/journal.pone.0126907.s003
month: '05'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1809'
relation: used_in_publication
status: public
status: public
title: Description of the agent based simulations
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '9773'
article_processing_charge: No
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Avraham E.
full_name: Mayo, Avraham E.
last_name: Mayo
- first_name: Tsvi
full_name: Tlusty, Tsvi
last_name: Tlusty
- first_name: Uri
full_name: Alon, Uri
last_name: Alon
citation:
ama: Friedlander T, Mayo AE, Tlusty T, Alon U. Evolutionary simulation code. 2015.
doi:10.1371/journal.pcbi.1004055.s002
apa: Friedlander, T., Mayo, A. E., Tlusty, T., & Alon, U. (2015). Evolutionary
simulation code. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1004055.s002
chicago: Friedlander, Tamar, Avraham E. Mayo, Tsvi Tlusty, and Uri Alon. “Evolutionary
Simulation Code.” Public Library of Science, 2015. https://doi.org/10.1371/journal.pcbi.1004055.s002.
ieee: T. Friedlander, A. E. Mayo, T. Tlusty, and U. Alon, “Evolutionary simulation
code.” Public Library of Science, 2015.
ista: Friedlander T, Mayo AE, Tlusty T, Alon U. 2015. Evolutionary simulation code,
Public Library of Science, 10.1371/journal.pcbi.1004055.s002.
mla: Friedlander, Tamar, et al. Evolutionary Simulation Code. Public Library
of Science, 2015, doi:10.1371/journal.pcbi.1004055.s002.
short: T. Friedlander, A.E. Mayo, T. Tlusty, U. Alon, (2015).
date_created: 2021-08-05T12:58:07Z
date_published: 2015-03-23T00:00:00Z
date_updated: 2023-02-23T10:16:13Z
day: '23'
department:
- _id: GaTk
doi: 10.1371/journal.pcbi.1004055.s002
month: '03'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1827'
relation: used_in_publication
status: public
status: public
title: Evolutionary simulation code
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '981'
abstract:
- lang: eng
text: The tunability of topological surface states and controllable opening of the
Dirac gap are of fundamental and practical interest in the field of topological
materials. In the newly discovered topological crystalline insulators (TCIs),
theory predicts that the Dirac node is protected by a crystalline symmetry and
that the surface state electrons can acquire a mass if this symmetry is broken.
Recent studies have detected signatures of a spontaneously generated Dirac gap
in TCIs; however, the mechanism of mass formation remains elusive. In this work,
we present scanning tunnelling microscopy (STM) measurements of the TCI Pb 1â'x
Sn x Se for a wide range of alloy compositions spanning the topological and non-topological
regimes. The STM topographies reveal a symmetry-breaking distortion on the surface,
which imparts mass to the otherwise massless Dirac electrons-a mechanism analogous
to the long sought-after Higgs mechanism in particle physics. Interestingly, the
measured Dirac gap decreases on approaching the trivial phase, whereas the magnitude
of the distortion remains nearly constant. Our data and calculations reveal that
the penetration depth of Dirac surface states controls the magnitude of the Dirac
mass. At the limit of the critical composition, the penetration depth is predicted
to go to infinity, resulting in zero mass, consistent with our measurements. Finally,
we discover the existence of surface states in the non-topological regime, which
have the characteristics of gapped, double-branched Dirac fermions and could be
exploited in realizing superconductivity in these materials.
acknowledgement: We thank R. Buczko, C. Chamon, J. C. Seamus Davis, M. El-Batanouny,
A. Mesaros, Y. Ran and A. Soumyanarayanan for useful conversations and G. McMahon
for help with EDS measurements. V.M. gratefully acknowledges funding from the US
Department of Energy, Scanned Probe Division under Award Number DE-FG02-12ER46880
for the support of I.Z., Y.O., W.Z. and D.W. for this project. Work at Massachusetts
Institute of Technology is supported by US Department of Energy, Office of Basic
Energy Sciences, Division of Materials Sciences and Engineering under Award DE-SC0010526
(L.F.), and NSF-DMR-1104498 (M.S.). H.L. acknowledges the Singapore National Research
Foundation for support under NRF Award No. NRF-NRFF2013-03. Y.O. was partly supported
by JSPS KAKENHI Grant Numbers 26707016 and 00707656. The work at Northeastern University
is supported by the US Department of Energy grant number DE-FG02-07ER46352, and
benefited from Northeastern University’s Advanced Scientific Computation Center
(ASCC), theory support at the Advanced Light Source, Berkeley and the allocation
of supercomputer time at the NERSC through DOE grant number DE-AC02-05CH11231. Work
at Princeton University is supported by the US National Science Foundation Grant,
NSF-DMR-1006492. F.C. acknowledges the support provided by MOST-Taiwan under project
number NSC-102-2119-M-002-004.
author:
- first_name: Ilija
full_name: Zeljkovic, Ilija
last_name: Zeljkovic
- first_name: Yoshinori
full_name: Okada, Yoshinori
last_name: Okada
- first_name: Maksym
full_name: Maksym Serbyn
id: 47809E7E-F248-11E8-B48F-1D18A9856A87
last_name: Serbyn
orcid: 0000-0002-2399-5827
- first_name: Raman
full_name: Sankar, Raman
last_name: Sankar
- first_name: Daniel
full_name: Walkup, Daniel
last_name: Walkup
- first_name: Wenwen
full_name: Zhou, Wenwen
last_name: Zhou
- first_name: Junwei
full_name: Liu, Junwei
last_name: Liu
- first_name: Guoqing
full_name: Chang, Guoqing
last_name: Chang
- first_name: Yungjui
full_name: Wang, Yungjui
last_name: Wang
- first_name: Md
full_name: Hasan, Md Z
last_name: Hasan
- first_name: Fangcheng
full_name: Chou, Fangcheng
last_name: Chou
- first_name: Hsin
full_name: Lin, Hsin
last_name: Lin
- first_name: Arun
full_name: Bansil, Arun
last_name: Bansil
- first_name: Liang
full_name: Fu, Liang
last_name: Fu
- first_name: Vidya
full_name: Madhavan, Vidya
last_name: Madhavan
citation:
ama: Zeljkovic I, Okada Y, Serbyn M, et al. Dirac mass generation from crystal symmetry
breaking on the surfaces of topological crystalline insulators. Nature Materials.
2015;14(3):318-324. doi:10.1038/nmat4215
apa: Zeljkovic, I., Okada, Y., Serbyn, M., Sankar, R., Walkup, D., Zhou, W., … Madhavan,
V. (2015). Dirac mass generation from crystal symmetry breaking on the surfaces
of topological crystalline insulators. Nature Materials. Nature Publishing
Group. https://doi.org/10.1038/nmat4215
chicago: Zeljkovic, Ilija, Yoshinori Okada, Maksym Serbyn, Raman Sankar, Daniel
Walkup, Wenwen Zhou, Junwei Liu, et al. “Dirac Mass Generation from Crystal Symmetry
Breaking on the Surfaces of Topological Crystalline Insulators.” Nature Materials.
Nature Publishing Group, 2015. https://doi.org/10.1038/nmat4215.
ieee: I. Zeljkovic et al., “Dirac mass generation from crystal symmetry breaking
on the surfaces of topological crystalline insulators,” Nature Materials,
vol. 14, no. 3. Nature Publishing Group, pp. 318–324, 2015.
ista: Zeljkovic I, Okada Y, Serbyn M, Sankar R, Walkup D, Zhou W, Liu J, Chang G,
Wang Y, Hasan M, Chou F, Lin H, Bansil A, Fu L, Madhavan V. 2015. Dirac mass generation
from crystal symmetry breaking on the surfaces of topological crystalline insulators.
Nature Materials. 14(3), 318–324.
mla: Zeljkovic, Ilija, et al. “Dirac Mass Generation from Crystal Symmetry Breaking
on the Surfaces of Topological Crystalline Insulators.” Nature Materials,
vol. 14, no. 3, Nature Publishing Group, 2015, pp. 318–24, doi:10.1038/nmat4215.
short: I. Zeljkovic, Y. Okada, M. Serbyn, R. Sankar, D. Walkup, W. Zhou, J. Liu,
G. Chang, Y. Wang, M. Hasan, F. Chou, H. Lin, A. Bansil, L. Fu, V. Madhavan, Nature
Materials 14 (2015) 318–324.
date_created: 2018-12-11T11:49:31Z
date_published: 2015-03-01T00:00:00Z
date_updated: 2021-01-12T08:22:24Z
day: '01'
doi: 10.1038/nmat4215
extern: 1
intvolume: ' 14'
issue: '3'
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1403.4906
month: '03'
oa: 1
page: 318 - 324
publication: Nature Materials
publication_status: published
publisher: Nature Publishing Group
publist_id: '6419'
quality_controlled: 0
status: public
title: Dirac mass generation from crystal symmetry breaking on the surfaces of topological
crystalline insulators
type: journal_article
volume: 14
year: '2015'
...
---
_id: '982'
abstract:
- lang: eng
text: We propose a new approach to probing ergodicity and its breakdown in one-dimensional
quantum manybody systems based on their response to a local perturbation. We study
the distribution of matrix elements of a local operator between the system's eigenstates,
finding a qualitatively different behavior in the manybody localized (MBL) and
ergodic phases. To characterize how strongly a local perturbation modifies the
eigenstates, we introduce the parameter g(L) = (In (Vnm/δ)) which represents the
disorder-averaged ratio of a typical matrix element of a local operator V to energy
level spacing δ this parameter is reminiscent of the Thouless conductance in the
single-particle localization. We show that the parameter g(L) decreases with system
size L in the MBL phase and grows in the ergodic phase. We surmise that the delocalization
transition occurs when g(L) is independent of system size, g(L)=gc ~ 1. We illustrate
our approach by studying the many-body localization transition and resolving the
many-body mobility edge in a disordered one-dimensional XXZ spin-1=2 chain using
exact diagonalization and time-evolving block-decimation methods. Our criterion
for the MBL transition gives insights into microscopic details of transition.
Its direct physical consequences, in particular, logarithmically slow transport
at the transition and extensive entanglement entropy of the eigenstates, are consistent
with recent renormalization-group predictions.
acknowledgement: We acknowledge helpful discussions with Sid Parameswaran, Andrew
Potter, Antonello Scardicchio, Romain Vasseur, and especially with Ehud Altman and
David Huse. We would like to thank Miles Stoudenmire for the assistance with ITensor
library. Research at Perimeter Institute is supported by the Government of Canada
through Industry Canada and by the Province of Ontario through the Ministry of Economic
Development & Innovation. This research was supported by Gordon and Betty Moore
Foundation EPiQS Initiative through Grant No. GBMF4307 (M. S.), Sloan Foundation,
NSERC, and Early Researcher Award of Ontario (D. A.). This work made use of the
facilities of N8 HPC Centre of Excellence, provided and funded by the N8 consortium
and EPSRC (Grant No. EP/K000225/1). The Centre is coordinated by the Universities
of Leeds and Manchester.
author:
- first_name: Maksym
full_name: Maksym Serbyn
id: 47809E7E-F248-11E8-B48F-1D18A9856A87
last_name: Serbyn
orcid: 0000-0002-2399-5827
- first_name: Zlatko
full_name: Papić, Zlatko
last_name: Papić
- first_name: Dmitry
full_name: Abanin, Dmitry A
last_name: Abanin
citation:
ama: Serbyn M, Papić Z, Abanin D. Criterion for many-body localization-delocalization
phase transition. Physical Review X. 2015;5(4). doi:10.1103/PhysRevX.5.041047
apa: Serbyn, M., Papić, Z., & Abanin, D. (2015). Criterion for many-body localization-delocalization
phase transition. Physical Review X. American Physical Society. https://doi.org/10.1103/PhysRevX.5.041047
chicago: Serbyn, Maksym, Zlatko Papić, and Dmitry Abanin. “Criterion for Many-Body
Localization-Delocalization Phase Transition.” Physical Review X. American
Physical Society, 2015. https://doi.org/10.1103/PhysRevX.5.041047.
ieee: M. Serbyn, Z. Papić, and D. Abanin, “Criterion for many-body localization-delocalization
phase transition,” Physical Review X, vol. 5, no. 4. American Physical
Society, 2015.
ista: Serbyn M, Papić Z, Abanin D. 2015. Criterion for many-body localization-delocalization
phase transition. Physical Review X. 5(4).
mla: Serbyn, Maksym, et al. “Criterion for Many-Body Localization-Delocalization
Phase Transition.” Physical Review X, vol. 5, no. 4, American Physical
Society, 2015, doi:10.1103/PhysRevX.5.041047.
short: M. Serbyn, Z. Papić, D. Abanin, Physical Review X 5 (2015).
date_created: 2018-12-11T11:49:32Z
date_published: 2015-01-01T00:00:00Z
date_updated: 2021-01-12T08:22:25Z
day: '01'
doi: 10.1103/PhysRevX.5.041047
extern: 1
intvolume: ' 5'
issue: '4'
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1507.01635
month: '01'
oa: 1
publication: Physical Review X
publication_status: published
publisher: American Physical Society
publist_id: '6418'
quality_controlled: 0
status: public
title: Criterion for many-body localization-delocalization phase transition
type: journal_article
volume: 5
year: '2015'
...
---
_id: '99'
abstract:
- lang: eng
text: Quasiparticle excitations can compromise the performance of superconducting
devices, causing high-frequency dissipation, decoherence in Josephson qubits,
and braiding errors in proposed Majorana-based topological quantum computers.
Quasiparticle dynamics have been studied in detail in metallic superconductors
but remain relatively unexplored in semiconductor-superconductor structures, which
are now being intensely pursued in the context of topological superconductivity.
To this end, we use a system comprising a gate-confined semiconductor nanowire
with an epitaxially grown superconductor layer, yielding an isolated, proximitized
nanowire segment. We identify bound states in the semiconductor by means of bias
spectroscopy, determine the characteristic temperatures and magnetic fields for
quasiparticle excitations, and extract a parity lifetime (poisoning time) of the
bound state in the semiconductor exceeding 10 ms.
acknowledgement: Research support by Microsoft Project Q, the Danish National Research
Foundation, the Lundbeck Foundation, the Carlsberg Foundation, and the European
Commission. A.P.H. acknowledges support from the US Department of Energy, C.M.M.
acknowledges support from the Villum Foundation.
author:
- first_name: Andrew P
full_name: Higginbotham, Andrew P
id: 4AD6785A-F248-11E8-B48F-1D18A9856A87
last_name: Higginbotham
orcid: 0000-0003-2607-2363
- first_name: S M
full_name: Albrecht, S M
last_name: Albrecht
- first_name: Gediminas
full_name: Kiršanskas, Gediminas
last_name: Kiršanskas
- first_name: W
full_name: Chang, W
last_name: Chang
- first_name: Ferdinand
full_name: Kuemmeth, Ferdinand
last_name: Kuemmeth
- first_name: Peter
full_name: Krogstrup, Peter
last_name: Krogstrup
- first_name: Thomas
full_name: Jespersen, Thomas
last_name: Jespersen
- first_name: Jesper
full_name: Nygård, Jesper
last_name: Nygård
- first_name: Karsten
full_name: Flensberg, Karsten
last_name: Flensberg
- first_name: Charles
full_name: Marcus, Charles
last_name: Marcus
citation:
ama: Higginbotham AP, Albrecht SM, Kiršanskas G, et al. Parity lifetime of bound
states in a proximitized semiconductor nanowire. Nature Physics. 2015;11(12):1017-1021.
doi:10.1038/nphys3461
apa: Higginbotham, A. P., Albrecht, S. M., Kiršanskas, G., Chang, W., Kuemmeth,
F., Krogstrup, P., … Marcus, C. (2015). Parity lifetime of bound states in a proximitized
semiconductor nanowire. Nature Physics. Nature Publishing Group. https://doi.org/10.1038/nphys3461
chicago: Higginbotham, Andrew P, S M Albrecht, Gediminas Kiršanskas, W Chang, Ferdinand
Kuemmeth, Peter Krogstrup, Thomas Jespersen, Jesper Nygård, Karsten Flensberg,
and Charles Marcus. “Parity Lifetime of Bound States in a Proximitized Semiconductor
Nanowire.” Nature Physics. Nature Publishing Group, 2015. https://doi.org/10.1038/nphys3461.
ieee: A. P. Higginbotham et al., “Parity lifetime of bound states in a proximitized
semiconductor nanowire,” Nature Physics, vol. 11, no. 12. Nature Publishing
Group, pp. 1017–1021, 2015.
ista: Higginbotham AP, Albrecht SM, Kiršanskas G, Chang W, Kuemmeth F, Krogstrup
P, Jespersen T, Nygård J, Flensberg K, Marcus C. 2015. Parity lifetime of bound
states in a proximitized semiconductor nanowire. Nature Physics. 11(12), 1017–1021.
mla: Higginbotham, Andrew P., et al. “Parity Lifetime of Bound States in a Proximitized
Semiconductor Nanowire.” Nature Physics, vol. 11, no. 12, Nature Publishing
Group, 2015, pp. 1017–21, doi:10.1038/nphys3461.
short: A.P. Higginbotham, S.M. Albrecht, G. Kiršanskas, W. Chang, F. Kuemmeth, P.
Krogstrup, T. Jespersen, J. Nygård, K. Flensberg, C. Marcus, Nature Physics 11
(2015) 1017–1021.
date_created: 2018-12-11T11:44:37Z
date_published: 2015-09-14T00:00:00Z
date_updated: 2021-01-12T08:22:28Z
day: '14'
doi: 10.1038/nphys3461
extern: '1'
external_id:
arxiv:
- '1501.05155'
intvolume: ' 11'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1501.05155
month: '09'
oa: 1
oa_version: Preprint
page: 1017 - 1021
publication: Nature Physics
publication_status: published
publisher: Nature Publishing Group
publist_id: '7955'
quality_controlled: '1'
status: public
title: Parity lifetime of bound states in a proximitized semiconductor nanowire
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 11
year: '2015'
...
---
_id: '8495'
abstract:
- lang: eng
text: 'In this note, we consider the dynamics associated to a perturbation of an
integrable Hamiltonian system in action-angle coordinates in any number of degrees
of freedom and we prove the following result of ``micro-diffusion'''': under generic
assumptions on $ h$ and $ f$, there exists an orbit of the system for which the
drift of its action variables is at least of order $ \sqrt {\varepsilon }$, after
a time of order $ \sqrt {\varepsilon }^{-1}$. The assumptions, which are essentially
minimal, are that there exists a resonant point for $ h$ and that the corresponding
averaged perturbation is non-constant. The conclusions, although very weak when
compared to usual instability phenomena, are also essentially optimal within this
setting.'
article_processing_charge: No
article_type: letter_note
author:
- first_name: Abed
full_name: Bounemoura, Abed
last_name: Bounemoura
- first_name: Vadim
full_name: Kaloshin, Vadim
id: FE553552-CDE8-11E9-B324-C0EBE5697425
last_name: Kaloshin
orcid: 0000-0002-6051-2628
citation:
ama: Bounemoura A, Kaloshin V. A note on micro-instability for Hamiltonian systems
close to integrable. Proceedings of the American Mathematical Society.
2015;144(4):1553-1560. doi:10.1090/proc/12796
apa: Bounemoura, A., & Kaloshin, V. (2015). A note on micro-instability for
Hamiltonian systems close to integrable. Proceedings of the American Mathematical
Society. American Mathematical Society. https://doi.org/10.1090/proc/12796
chicago: Bounemoura, Abed, and Vadim Kaloshin. “A Note on Micro-Instability for
Hamiltonian Systems Close to Integrable.” Proceedings of the American Mathematical
Society. American Mathematical Society, 2015. https://doi.org/10.1090/proc/12796.
ieee: A. Bounemoura and V. Kaloshin, “A note on micro-instability for Hamiltonian
systems close to integrable,” Proceedings of the American Mathematical Society,
vol. 144, no. 4. American Mathematical Society, pp. 1553–1560, 2015.
ista: Bounemoura A, Kaloshin V. 2015. A note on micro-instability for Hamiltonian
systems close to integrable. Proceedings of the American Mathematical Society.
144(4), 1553–1560.
mla: Bounemoura, Abed, and Vadim Kaloshin. “A Note on Micro-Instability for Hamiltonian
Systems Close to Integrable.” Proceedings of the American Mathematical Society,
vol. 144, no. 4, American Mathematical Society, 2015, pp. 1553–60, doi:10.1090/proc/12796.
short: A. Bounemoura, V. Kaloshin, Proceedings of the American Mathematical Society
144 (2015) 1553–1560.
date_created: 2020-09-18T10:46:14Z
date_published: 2015-12-21T00:00:00Z
date_updated: 2021-01-12T08:19:40Z
day: '21'
doi: 10.1090/proc/12796
extern: '1'
intvolume: ' 144'
issue: '4'
language:
- iso: eng
month: '12'
oa_version: None
page: 1553-1560
publication: Proceedings of the American Mathematical Society
publication_identifier:
issn:
- 0002-9939
- 1088-6826
publication_status: published
publisher: American Mathematical Society
quality_controlled: '1'
status: public
title: A note on micro-instability for Hamiltonian systems close to integrable
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 144
year: '2015'
...
---
_id: '866'
abstract:
- lang: eng
text: Proteases play important roles in many biologic processes and are key mediators
of cancer, inflammation, and thrombosis. However, comprehensive and quantitative
techniques to define the substrate specificity profile of proteases are lacking.
The metalloprotease ADAMTS13 regulates blood coagulation by cleaving von Willebrand
factor (VWF), reducing its procoagulant activity. A mutagenized substrate phage
display library based on a 73-amino acid fragment of VWF was constructed, and
the ADAMTS13-dependent change in library complexity was evaluated over reaction
time points, using high-throughput sequencing. Reaction rate constants (kcat/KM)
were calculated for nearly every possible single amino acid substitution within
this fragment. This massively parallel enzyme kinetics analysis detailed the specificity
of ADAMTS13 and demonstrated the critical importance of the P1-P1' substrate residues
while defining exosite binding domains. These data provided empirical evidence
for the propensity for epistasis within VWF and showed strong correlation to conservation
across orthologs, highlighting evolutionary selective pressures for VWF.
acknowledgement: |
We thank Isabel Wang and Vivian Cheung from the Life Sciences Institute, University of Michigan, for assistance with high- throughput sequencing experiments and valuable discussions. We also thank J. Evan Sadler (Washington University) and Sriram Krishnaswamy (Children’s Hospital of Philadelphia) for helpful discussions. We thank Jeff Weitz (McMaster University), Jim Fredenburgh (McMaster University), and Steve Weiss (University of Michigan) for critical review of the manuscript. C.A.K. was awarded the Judith Graham Pool Fellowship from National Hemophilia Foundation. This work was supported by the National Institutes of Health (R01 HL039693), the National Heart, Lung, and Blood Institute (P01- HL057346), Ministerio de Economía y Competitividad Grants BFU2012- 31329 and Sev-2012-0208, and European Research Council Starting Grant 335980_EinME. D.G. is an investigator of the Howard Hughes Medical In- stitute, and F.A.K. is a Howard Hughes Medical Institute International Early Career Scientist.
author:
- first_name: Colin
full_name: Kretz, Colin A
last_name: Kretz
- first_name: Manhong
full_name: Dai, Manhong
last_name: Dai
- first_name: Onuralp
full_name: Soylemez, Onuralp
last_name: Soylemez
- first_name: Andrew
full_name: Yee, Andrew
last_name: Yee
- first_name: Karl
full_name: Desch, Karl C
last_name: Desch
- first_name: David
full_name: Siemieniak, David R
last_name: Siemieniak
- first_name: Kärt
full_name: Tomberg, Kärt
last_name: Tomberg
- first_name: Fyodor
full_name: Fyodor Kondrashov
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Fan
full_name: Meng, Fan
last_name: Meng
- first_name: David
full_name: Ginsburg, David B
last_name: Ginsburg
citation:
ama: Kretz C, Dai M, Soylemez O, et al. Massively parallel enzyme kinetics reveals
the substrate recognition landscape of the metalloprotease ADAMTS13. PNAS.
2015;112(30):9328-9333. doi:10.1073/pnas.1511328112
apa: Kretz, C., Dai, M., Soylemez, O., Yee, A., Desch, K., Siemieniak, D., … Ginsburg,
D. (2015). Massively parallel enzyme kinetics reveals the substrate recognition
landscape of the metalloprotease ADAMTS13. PNAS. National Academy of Sciences.
https://doi.org/10.1073/pnas.1511328112
chicago: Kretz, Colin, Manhong Dai, Onuralp Soylemez, Andrew Yee, Karl Desch, David
Siemieniak, Kärt Tomberg, Fyodor Kondrashov, Fan Meng, and David Ginsburg. “Massively
Parallel Enzyme Kinetics Reveals the Substrate Recognition Landscape of the Metalloprotease
ADAMTS13.” PNAS. National Academy of Sciences, 2015. https://doi.org/10.1073/pnas.1511328112.
ieee: C. Kretz et al., “Massively parallel enzyme kinetics reveals the substrate
recognition landscape of the metalloprotease ADAMTS13,” PNAS, vol. 112,
no. 30. National Academy of Sciences, pp. 9328–9333, 2015.
ista: Kretz C, Dai M, Soylemez O, Yee A, Desch K, Siemieniak D, Tomberg K, Kondrashov
F, Meng F, Ginsburg D. 2015. Massively parallel enzyme kinetics reveals the substrate
recognition landscape of the metalloprotease ADAMTS13. PNAS. 112(30), 9328–9333.
mla: Kretz, Colin, et al. “Massively Parallel Enzyme Kinetics Reveals the Substrate
Recognition Landscape of the Metalloprotease ADAMTS13.” PNAS, vol. 112,
no. 30, National Academy of Sciences, 2015, pp. 9328–33, doi:10.1073/pnas.1511328112.
short: C. Kretz, M. Dai, O. Soylemez, A. Yee, K. Desch, D. Siemieniak, K. Tomberg,
F. Kondrashov, F. Meng, D. Ginsburg, PNAS 112 (2015) 9328–9333.
date_created: 2018-12-11T11:48:55Z
date_published: 2015-07-28T00:00:00Z
date_updated: 2021-01-12T08:20:26Z
day: '28'
doi: 10.1073/pnas.1511328112
extern: 1
intvolume: ' 112'
issue: '30'
month: '07'
page: 9328 - 9333
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '6783'
quality_controlled: 0
status: public
title: Massively parallel enzyme kinetics reveals the substrate recognition landscape
of the metalloprotease ADAMTS13
type: journal_article
volume: 112
year: '2015'
...