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activity
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sbillinge authored Nov 13, 2023
2 parents 82e5f11 + 5d4fa7f commit 3d96a39
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44 changes: 44 additions & 0 deletions db/citations.yml
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Expand Up @@ -219,6 +219,50 @@ andon;c;tacolt17:
wwwemail: ''
wwwpub: http://slapper.apam.columbia.edu/bib-eu9iifae/papers/17andoni17a.pdf
year: '2017'
anker;actaa23:
ackno: This work is part of a project that has received funding from the European
Research Council (ERC) under the European Union's Horizon 2020 Research and Innovation
Programme (grant agreement No. 804066). Work in the Billinge group was supported
by the U.S. National Science Foundation through grant DMREF-1922234. We are grateful
to the Villum Foundation for financial support through a Villum Young Investigator
grant (VKR00015416). Funding from the Danish Ministry of Higher Education and
Science through the SMART Lighthouse is gratefully acknowledged. We acknowledge
MAX IV Laboratory for time on Beamline DanMAX under Proposal 20200731. We acknowledge
DESY (Hamburg, Germany), a member of the Helmholtz Association HGF, for the provision
of experimental facilities. Parts of this research were carried out at beamline
P02.1 at Petra III, and we thank Martin Etter, Jozef Bednarcik for assistance
in using the beamline
author:
- Andy S. Anker
- Ulrik Friis-Jensen
- Frederik L. Johansen
- Simon J. L. Billinge
- Kirsten M. Ø. Jensen
doi: ''
entrytype: article
facility: desy, petraiii, p02.1
grant: dmref19
journal: Acta Crystallogr. A
month: nov
nb: ''
note: submitted
notes: ''
number: ''
optannote: ''
optnote: ''
optwwwlanl: ''
pages: ''
synopsis: The problem of finding atomic cluster models for PDFs with just a few
peaks is addressed. The approach taken is similar to the related paper that describes
a machine learning (ML) approach called ML-Motex. However, in the current case
a non-ML approach is taken which turns out to be orders of magnitude faster than
the ML approach showing that ML is not always the answer.
tags: ml, cluster, nanoparticle
title: 'ClusterFinder: A fast tool to find cluster structures from pair distribution
function data'
url: ''
volume: ''
year: '2023'
anker;hdcc20:
author:
- Andy S. Anker
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4 changes: 2 additions & 2 deletions db/grants.yml
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Expand Up @@ -1185,13 +1185,13 @@
amount: 51500
awardnr: n/a
begin_date: 2022-03-01
end_date: 2025-02-28
end_date: 2023-02-28
funder: International Union of Crystallography
team:
- institution: columbiau
name: Simon Billinge
position: pi
subaward_amount: 54000
subaward_amount: 51500
title: Towards a machine readable literature
22_tri:
amount: 290000
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16 changes: 15 additions & 1 deletion db/institutions.yml
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Expand Up @@ -373,9 +373,11 @@ caltech:
name: Department of Chemistry
meche:
name: Department of Mechanical Engineering
matsci:
name: Materials Science
name: California Institute of Technology
state: CA
updated: 2023-10-19 15:08:11.137858
updated: 2023-11-05 09:36:25.851282
uuid: 437a804a-80b9-4a04-ae87-29c6ed99612a
zip: '91125'
cas:
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state: ''
street: 71 Avenue des Martyrs
zip: '38000'
indianau:
city: Bloomington
country: USA
date: 2023-11-05
departments:
physics:
name: Department of Physics
name: Indiana University
state: IN
updated: 2023-11-05 09:32:50.934448
uuid: a69e338a-a9c7-4115-a4e6-e4021f822fc4
zip: '47408 '
instituteofphysicschineseacademyofsciences:
aka:
- IoP-CAS
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6 changes: 6 additions & 0 deletions db/people.yml
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Expand Up @@ -4574,6 +4574,12 @@ sbillinge:
role: member
other:
- CHEX at CHESS, Cornell University
- type: profession
name: External examiner, PhD Thesis committee, Dan Foley, Johns Hopkins University
month: 10
year: 2023
role: examiner
other: []
- type: profession
name: Chair and organizer for the NSF-funded workshop Scientific Opportunities
and Instrumentation Needs for Next Generation Materials Genomics Based Materials
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186 changes: 167 additions & 19 deletions db/presentations.yml
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Expand Up @@ -5057,6 +5057,92 @@
status: accepted
title: Prospects for autonomous materials discovery guided by in situ diffraction
type: invited
2311sb_dectris,baden,switzerland:
abstract: Hard x-rays tend to make experiments easy. They are penetrating allowing
in situ, operando and spatially resolved measurements. Large regions of reciprocal
space can be covered rapidly opening the door to high real-space resolution total
scattering measurements. Absorption is lower making corrections easier, and resulting
beam damage of the sample is less of a worry. These things tend to make us greedy
though. We now want to put operating batteries in the beam and study spatially
resolved labs-on-chip, do real-time autonomous experiments and use computed tomography
to see diffraction from cross-sections of bulk samples. These developments, powered
by wonderful source and detector developments, present major challenges on the
data analysis side. Now we are putting heterogeneous devices in the beam and
getting signals from different parts of them. We have bad powder averages (spotty
data) because we can't spin the battery, and single crystal spots coming from
some component in the setup that happens to be in the way of the beam. We have
unknown and unexpected phases coming and going, and want to extract tiny signals
from large backgrounds. I will take this opportunity to discuss some of the data
analysis, algorithmic and computational developments that are helping us to overcome
these challenging situations and not only recovering from "bad data", but also
turning bad data into good data. Spotty powder patterns have more information
in them than smooth powder rings. Normally, data that contain more information
would be thought as "better" than data with less, but it is considered bad because
we don't have great ways to extract that information. I will describe some new
approaches, algorithmic, statistical, machine learning and otherwise, that are
helping us move the goalposts in this domain, which can open up new opportunities
for studying complex heterogeneous samples with hard x-rays.
authors:
- sbillinge
begin_date: 2023-11-10
end_date: 2023-11-10
location: Dectris, Baden, Switzerland
meeting_name: Howard Flack Award Lecture
notes: []
project:
- all
status: accepted
title: Watching real materials in real devices with the atomic pair distribution
function ({PDF}),
type: award
2311sb_epflsion,switzerland:
abstract: Nanoparticles, nanoporous materials and nanostructured bulk materials
are at the heart of next generation technological solutions in sustainable energy,
effective new pharmaceuticals, and environmental remediation. Their study involves
going beyond traditional crystallography to understand local arrangements of atoms
on different length-scales. This lecture will explore this problem, and describe
recent developments in solutions based on total scattering methods such as the
atomic pair distribution function (PDF) method. They will explore the state of
the art in time and spatially resolved studies of heterogeneous samples, operando
measurements from operating devices, developments in ultra-fast pump-probe PDF
measurements using x-ray free electron lasers, and latest approaches in data interpretation
using machine learning and artificial intelligence.
authors:
- sbillinge
begin_date: 2023-11-06
end_date: 2023-11-06
location: EPFL Sion, Switzerland
meeting_name: Howard Flack Award Lecture
notes: []
project:
- all
status: accepted
title: 'Real Materials in Action: studying structure on different length and timescales'
type: award
2311sb_eth,zurich,switzerland:
abstract: Nanoparticles, nanoporous materials and nanostructured bulk materials
are at the heart of next generation technological solutions in sustainable energy,
effective new pharmaceuticals, and environmental remediation. Their study involves
going beyond traditional crystallography to understand local arrangements of atoms
on different length-scales. This lecture will explore this problem, and describe
recent developments in solutions based on total scattering methods such as the
atomic pair distribution function (PDF) method. They will explore the state of
the art in time and spatially resolved studies of heterogeneous samples, operando
measurements from operating devices, developments in ultra-fast pump-probe PDF
measurements using x-ray free electron lasers, and latest approaches in data interpretation
using machine learning and artificial intelligence.
authors:
- sbillinge
begin_date: 2023-11-09
end_date: 2023-11-09
location: ETH, Zurich, Switzerland
meeting_name: Howard Flack Award Lecture
notes: []
project:
- all
status: accepted
title: 'Real Materials in Action: studying structure on different length and timescales'
type: award
2311sb_johannesburg,southafrica:
abstract: Nanoparticles, nanoporous materials and nanostructured bulk materials
are at the heart of next generation technological solutions in sustainable energy,
Expand Down Expand Up @@ -5085,31 +5171,93 @@
function (PDF)
type: invited
webinar: true
2311sb_switzerland:
abstract: 'Nanoparticles, nanoporous materials and nanostructured bulk materials
are at the heart of next generation technological solutions in sustainable energy,
effective new pharmaceuticals, and environmental remediation. Their study involves
going beyond traditional crystallography to understand local arrangements of atoms
on different length-scales. These lectures will explore this problem, and describe
recent developments in solutions based on total scattering methods such as the
atomic pair distribution function (PDF) method. They will explore the state of
the art in time and spatially resolved studies of heterogeneous samples, operando
measurements from operating devices, developments in ultra-fast pump-probe PDF
measurements using x-ray free electron lasers, and latest approaches in data interpretation
using machine learning and artificial intelligence. '
2311sb_paulscherrerinstitute,switzerland:
abstract: Material properties depend sensitively on the atomic structure, and on
the local structure. The local structure may a symmetry breaking in a crystal,
an explicit nanocrystalline or nanoporous sample or even an amorphous or liquid
material. We now have powerful tools for studying such materials, many based
on the atomic pair distribution function analysis (PDF) of x-ray, neutron and
electron diffraction data. This approach has traditionally leaned heavily on
the assumption that the average scattering is isotropic, and any heterogeneities
in the sample are averaged over. In this talk we explore extensions to the method
to allow it to be used to understand the heterogeneities. The most obvious is
the ability to carry out spatially resolved PDF measurements, which we have been
able to do for some time now. I will review these developments, spending more
time on a recent advance that allowed us to to make spatial PDF maps in an electron
microscopy with a lateral resolution of around 10 nm. Also challenging is if
the sample has orientational heterogeneities, for example, it is a powder sample
but with some preferred orientation. We have developed the equations that propagate
the orientational distribution function (ODF) through the Fourier transform allowing
us to study the ODF in real-space and to obtain a real-space equivalent of a pole
figure. Finally, if we allow ourselves to imagine that material whose structure
depends on the time-scale that it is probed on is a kind of temporal heterogeneity,
we have also demonstrated an approach, variable-shutter PDF (vsPDF), that allows
us to probe the structure with different time-resolutions. I will illustrate
this with the example of GeTe, a not-so-simple binary compound.
authors:
- sbillinge
begin_date: 2023-11-06
begin_date: 2023-11-10
end_date: 2023-11-10
location: Switzerland
meeting_name: Howard Flack Prize Lectures of the Swiss Society for Crystallographic
notes:
- 6 lectures in 5 days. The actual lecture titles and institutions will be put
separately
location: Paul Scherrer Institute, Switzerland
meeting_name: Howard Flack Award Lecture
notes: []
project:
- all
status: accepted
title: 'Real Materials in Action: studying structure on different length and timescales'
title: Local structural analysis when a material has spatial, temporal and orientational
heterogeneities
type: award
2311sb_universityofbasel,basel,switzerland:
abstract: Nanoparticles and nanostructures are at the heart of next generation technological
solutions in sustainable energy, effective new pharmaceuticals and environmental
remediation. A key to making progress is to be able to understand the nanoparticle
structure, the arrangements of atoms in the nanoparticles and nanoscale structures.
Also critical is understanding the distribution of the nanoparticles and how they
change in time as devices run and reactions take place. We use advanced x-ray,
neutron and electron scattering methods to get at this problem. I will talk about
these methods and show some recent success-stories in the fields of sustainable
energy, pharmaceuticals and cultural heritage preservation. However, I will also
discuss the fundamental limitations on our ability to extract information from
the data and how we are now turning to machine learning and artificial intelligence
techniques to give more insights.
authors:
- sbillinge
begin_date: 2023-11-08
end_date: 2023-11-08
location: University of Basel, Basel, Switzerland
meeting_name: Howard Flack Award Lecture
notes: []
project:
- all
status: accepted
title: 'From saving pharmaceuticals to saving priceless historical artefacts via
saving the planet: understanding nanostructure with x-rays and algorithms'
type: award
2311sb_universityofbern,bern,switzerland:
abstract: Nanoparticles and nanostructures are at the heart of next generation technological
solutions in sustainable energy, effective new pharmaceuticals and environmental
remediation. A key to making progress is to be able to understand the nanoparticle
structure, the arrangements of atoms in the nanoparticles and nanoscale structures.
Also critical is understanding the distribution of the nanoparticles and how they
change in time as devices run and reactions take place. We use advanced x-ray,
neutron and electron scattering methods to get at this problem. I will talk about
these methods and show some recent success-stories in the fields of sustainable
energy, pharmaceuticals and cultural heritage preservation. However, I will also
discuss the fundamental limitations on our ability to extract information from
the data and how we are now turning to machine learnging and articifical intelligence
techniques to give more insights.
authors:
- sbillinge
begin_date: 2023-11-07
end_date: 2023-11-07
location: University of Bern, Bern, Switzerland
meeting_name: Howard Flack Award Lecture
notes: []
project:
- all
status: accepted
title: 'From saving pharmaceuticals to saving priceless historical artefacts via
saving the planet: understanding nanostructure with x-rays and algorithms'
type: award
2312sb_aspencenterforphysics,aspen,co:
abstract: tbd
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