Skip to content

Commit

Permalink
Merge pull request #578 from sbillinge/bobon
Browse files Browse the repository at this point in the history
bob onboarding and a bunch of citations updating
  • Loading branch information
sbillinge authored Sep 5, 2024
2 parents 44849fc + 391b2c0 commit 1ed1127
Show file tree
Hide file tree
Showing 5 changed files with 248 additions and 42 deletions.
120 changes: 87 additions & 33 deletions db/citations.yml
Original file line number Diff line number Diff line change
Expand Up @@ -386,6 +386,36 @@ anker;npjcm22:
url: https://doi.org/10.1038/s41524-022-00896-3
volume: '8'
year: '2022'
guo;npjcm24:
ackno: Work in the Lipson group was supported by U.S. National Science Foundation under AI Institute for
Dynamical Systems grant 372 2112085. Work in the Billinge group was supported by the U.S. Department of
Energy, Office of Science, Office of Basic Energy Sciences (DOE-BES) under contract No. DE-SC0024141.
author:
- Gabe Guo
- Judah Goldfeder
- Ling Lan
- Aniv Ray
- Albert Hanming Yang
- Boyuan Chen
- Simon J. L. Billinge
- Hod Lipson
doi: ''
entrytype: article
facility: ''
grant: doeneutron23
journal: npj Computational Materials
month: ''
nb: ''
number: ''
note: to be published. Available on arXiv
pages: ''
professional_summary: ""
synopsis: ''
tags: ml, structure_solution, modeling
title:
url: https://doi.org/10.1038/s41524-022-00896-3
volume: '8'
year: '2022'
antic;jpcm13:
author:
- Antic, B.
Expand Down Expand Up @@ -5468,17 +5498,27 @@ greta;prl13:
wwwpub: http://slapper.apam.columbia.edu/bib-eu9iifae/papers/gretarsson_prl13.pdf
year: '2013'
griff;unpub23:
ackno: Work at Brookhaven National Laboratory was supported by the U.S. Department
of Energy, Office of Science, Office of Basic Energy Sciences, under Contract
No. DE-SC0012704. Use of the Linac Coherent Light Source (LCLS), SLAC National
Accelerator Laboratory, is supported by the U.S. Department of Energy, Office
of Science, Office of Basic Energy Sciences under Contract No. DE-AC02-76SF00515.
This work was supported by the National Institutes of Health grant S10 OD023453.
We would like to thank Andrey A. Yakovenko and Uta Ruett for help with reference
synchrotron measurements of equilibrium CuIr2S4. The measurements were carried
out at the Advanced Photon Source (APS) beamline 11-ID-C, which was supported
by the U. S. Department of Energy, Office of Science, Office of Basic Energy Sciences,
under Contract No. DE-AC02-06CH11357.
ackno: Work at Brookhaven National Laboratory was supported by the US Department
of Energy, Office of Science, Office of Basic Energy Sciences, under contract
no. DE-SC0012704 (J.G., A.F.S., L.W., M.P.M.D., I.R. and S.J.L.B). Sample preparation
utilized the resources of the Center for Functional Nanomaterials at Brookhaven
National Laboratory also funded under contract no. DE-SC0012704. Use of the Linac
Coherent Light Source (LCLS), SLAC National Accelerator Laboratory, is supported
by the US Department of Energy, Office of Science, Office of Basic Energy Sciences,
under contract no. DE-AC0276SF00515 (V.E. and S.B.). The use of the Rayonix 340
detector at the MFX beamline was supported by the National Institutes of Health
grant S10 OD023453 (S.B.). Work at Argonne National Laboratory (sample synthesis
and characterization) was supported by the US Department of Energy, Office of
Science, Basic Energy Sciences, Materials Science and Engineering Division (J.F.M.).
We gratefully acknowledge support from the US Department of Energy, Office of
Science, under grant no. DE-FG02-04ER46147 (S.D.M. and P.G.E.) and from the US
NSF through the University of Wisconsin Materials Research Science and Engineering
Center (DMR-2309000 and DMR-1720415) (S.D.M. and P.G.E.). Work performed at University
College London was supported by EPSRC (I.R.). We would like to thank A. A. Yakovenko
and U. Ruett for help with the reference synchrotron measurements of equilibrium
CIS. These reference measurements were carried out at the Advanced Photon Source
(APS) beamline 11-ID-C, which was supported by the US Department of Energy, Office
of Science, Office of Basic Energy Sciences, under contract no. DE-AC02-06CH11357.
author:
- Jack Griffiths
- Ana Flávia Suzana
Expand All @@ -5493,24 +5533,35 @@ griff;unpub23:
- Ian Robinson
- Simon J. L. Billinge
- Emil S. Bozin
doi: ''
doi: 10.1038/s41563-024-01927-8
entrytype: article
facility: slac lcls aps 11idc
grant: fwp20
journal: Nature Materials
month: tbd
month: jun
nb: ''
note: to be published
number: ''
pages: ''
professional_summary: ''
synopsis: ''
optnote: to be published
pages: 1041–1047
professional_summary: A key challenge in materials is understanding how they transition
from one phase to another, the so-called reaction coordinate. In principle, the
ability to measure time-resolved atomic pair distribution functions with sub-picosecond
time resolution could solve this challenge as the PDF can show quantitatively
how atoms move with respect to each other as a following a exciting stimulus. A
major challenge is to carry out these experiments in using the X-ray free electron
lasers (XFELs) that can provide this time resolution in prinicple. This experiment
demonstrates that this is possile, opening the door to future such experiments
on a wide range of materials. In this case, the destruction of an ordered charge
density wave state at the metal-insulator transition of the quantum material,
CuIr2S2, was studied.
synopsis: The first fully quantitative ultra-fast PDF experiment is demonstrated
from data from the LCLS at SLAC
tags: ufpdf, cis, dimer, ultra_fast
title: Resolving length scale dependent transient disorder through an ultrafast
title: Resolving length-scale-dependent transient disorder through an ultrafast
phase transition
url: ''
volume: ''
year: '2023'
url: https://doi.org/10.1038/s41563-024-01927-8
volume: '23'
year: '2024'
gu;aca19:
ackno: This research was supported by the US National Science Foundation (NSF) through
grant DMREF-1534910. SB acknowledges support from the National Defense Science
Expand Down Expand Up @@ -5577,15 +5628,18 @@ gu;aca23:
wwwemail: ''
wwwpub: ''
year: '2023'
gu;unpublished23:
ackno: We would like to thank Dr. Daniel Olds, for assistance during the measurements
gu;npjcm24:
ackno: 'We would like to thank Dr. Daniel Olds, for assistance during the measurements
of the experimental PDF data. The work described here was funded by the Next Generation
Synthesis Center (GENESIS), an Energy Frontier Research Center funded by the U.S.
Department of Energy, Office of Science, Basic Energy Sciences under Award Number
DE-SC0019212. X-ray PDF measurements were conducted on beamline 28-ID-2 of the
National Synchrotron Light Source II, a US DOE Office of Science User Facility
operated for the DOE Office of Science by Brookhaven National Laboratory under
contract No. DESC0012704.
contract No. DESC0012704. Q.D. is also partially supported by DOE-ASCRDE-SC0022317.
G.E.K received training and support as a part of QuADS: Quantitative Analysis
of Dynamic Structures National Science Foundation Research Traineeship Program,
grant number NSF DGE 1922639.'
author:
- Ran Gu
- Yevgeny Rakita
Expand All @@ -5599,25 +5653,25 @@ gu;unpublished23:
- Karena W. Chapman
- Qiang Du
- Simon J. L. Billinge
doi: ''
doi: 10.1038/s41524-024-01377-5
entrytype: article
facility: nslslii, xpd
grant: efrc18
journal: arXiv
month: tbd
journal: npj Comp. Mater.
month: aug
nb: fy24, typeA
note: arXiv:2311.15173 [cond-mat.mtrl-sci]
number: ''
optannote: ''
pages: ''
optnote: arXiv:2311.15173 [cond-mat.mtrl-sci]
pages: '193'
synopsis: stretched and sparse-stretched NMF unsupervised ML algorithms are described
and tested against temperature dependent x-ray data from in situ inorganic chemical
synthesis experiments.
tags: ml, nmf, synthesis, in-situ
title: Stretched Non-negative Matrix Factorization
url: http://arxiv.org/abs/2311.15173
volume: ''
year: '2023'
title: Stretched non-negative matrix factorization
url: https://doi.org/10.1038/s41524-024-01377-5
volume: '10'
year: '2024'
gualt;jac08:
author:
- Gualtieri, A. F.
Expand Down
4 changes: 2 additions & 2 deletions db/grants.yml
Original file line number Diff line number Diff line change
Expand Up @@ -1195,7 +1195,7 @@
title: Towards a machine readable literature
22_tri:
amount: 290000
awardnr: n/a
awardnr: PO-002332
begin_date: 2023-01-01
end_date: 2024-12-31
funder: Toyota Research Institute
Expand All @@ -1216,7 +1216,7 @@
begin_date: 2023-09-01
end_date: 2026-08-31
funder: DOE-BES
narrative: 'The main goal of the project is to develop data analysis and knowledge
narrative: 'Fixme The main goal of the project is to develop data analysis and knowledge
extraction strategies to separate signals in complex data from in situ and operando
neutron diffraction measurements. In general, operating devices are highly heterogeneous,
made up of different components in complex arrangements on micron and millimeter
Expand Down
39 changes: 38 additions & 1 deletion db/people.yml
Original file line number Diff line number Diff line change
Expand Up @@ -4676,6 +4676,23 @@ sbillinge:
publication list, can be found at http://thebillingegroup.com/
begin_year: 1987
service:
- type: profession
name: External PhD examiner for PhD student Rasmus Stubkjær Christensen of Aarhus
University
month: 12
year: 2024
role: member
other: []
- type: profession
name: Member of the external advisory board, of the FULL-MAP project (Furthering
the development of a materials acceleration platform for sustainable batteries
(combining AI, big data, autonomous synthesis robotics, high throughput testing)
(Batt4EU Partnership)) at Vrije Universiteit Brussels
month: 12
begin_date: 2024-08-01
end_date: 2027-07-31
role: member
other: []
- type: profession
name: Review panel for Linear Coherent Light Source
month: 4
Expand Down Expand Up @@ -5501,6 +5518,26 @@ sharouna-mayer:
grp_mtg_active: false
name: Sani Harouna-Mayer
position: visiting student
sjblee:
active: true
aka: []
avatar: https://github.com/bobleesj.png
bio: bio
education: []
email: sl5400@columbia.edu
employment:
- begin_date: 2024-07-28
end_date: 2024-12-31
organization: columbiau
position: undergraduate researcher
group: bg
advisor: sbillinge
status: undergrad
github_id: bobleesj
grp_mtg_active: true
name: Sangjoon Bob Lee
orcid_id: 0000-0002-2367-3932
position: undergraduate researcher
smayers:
active: false
aka:
Expand Down Expand Up @@ -6148,7 +6185,7 @@ ycchen:
email: yucong.c@columbia.edu
employment:
- begin_date: 2023-10-23
end_date: 2024-08-31
end_date: 2025-05-31
organization: columbiau
position: masters researcher
group: bg
Expand Down
121 changes: 115 additions & 6 deletions db/presentations.yml
Original file line number Diff line number Diff line change
Expand Up @@ -5561,7 +5561,7 @@
title: Do materials have a genome, and if they do, what can be done with it?
type: invited
2407sb_washingtondc:
abstract: tbd
abstract: na
authors:
- sbillinge
begin_date: 2024-07-30
Expand Down Expand Up @@ -5607,10 +5607,56 @@
project:
- all
status: accepted
title: 'Big box, small box, black box, George Box: some personal thoughts on determination
and interpretation of structural models'
subtitle: Some personal thoughts on determination and interpretation of structural
models
title: Big box, small box, black box, George Box
type: invited
2408sb_padovasoftwarefayre,italy:
abstract: na
authors:
- sbillinge
begin_date: 2024-08-26
end_date: 2024-08-30
location: Padova, Italy
meeting_name: Software Fayre of the European Powder Diffraction Conference (EPDIC)
18
notes: []
project:
- all
status: accepted
title: Updates on PDF modeling software with diffpy-cm
type: invited
2409sb_krakow_poland:
abstract: At the heart of materials science studies for next generation materials
is an idea that we want to be studying real materials doing real things, often
in real devices. In practice, this presents a number of key data analysis and
interpretation challenges because it implies we are studying ever more complicated
samples, often in complex heterogeneous environments and in time-resolved operando
setups, and we are interrogating our data for more and more subtle effects such
as microstructures and evolving defects and local structures. Advanced data analysis
algorithms and software are essential for the success of this enterprise. In
this talk I will describe various developments that leverage the power of artificial
intelligence (AI), principally machine learning (ML), to aid in this task. Some
of these powerful tools are clearly ready to be applied more broadly in the community
and others are still in the future but look very promising. They include unsupervised
and supervised machine learning approaches, conventional ML and deep neural networks,
including generative models, as well as approaches for autonomous time-resolved
experimentation. I will lay out various aspects of ML in structure science using
examples from our own work.
authors:
- sbillinge
begin_date: 2024-09-01
end_date: 2024-09-08
location: Krakow, Poland
meeting_name: Swedish-German R\o ntgen-\AA ngstrom cluster (R\AA C) conference on
"X-ray and neutron research on bio-inspired materials and sustainable energy technology
notes: []
project:
- all
status: accepted
title: '{AI} in material structure research: basics and applications'
type: invited
2408sb_padovaepdic,italy:
2409sb_padovaepdic,italy:
abstract: At the heart of powder diffraction is the idea that we are studying real
materials doing real things, often in real devices. It is now possible to solve
single crystal structures from tiny crystals that are smaller than powder grains
Expand Down Expand Up @@ -5639,8 +5685,71 @@
project:
- all
status: accepted
title: '{AI} at your service: {AI} as a tool for extracting more science, more easily
from powder diffraction data'
subtitle: '{AI} as a tool for extracting more science, more easily from powder diffraction
data'
title: '{AI} at your service'
type: invited
2411sb_tsukuba,japan:
abstract: At the heart of materials science studies for next generation materials
is an idea that we want to be studying real materials doing real things, often
in real devices. In practice, this presents a number of key data analysis and
interpretation challenges because it implies we are studying ever more complicated
samples, often in complex heterogeneous environments and in time-resolved operando
setups, and we are interrogating our data for more and more subtle effects such
as microstructures and evolving defects and local structures. Advanced data analysis
algorithms and software are essential for the success of this enterprise. Of
particular interest is the study of nanomaterials and materials structure on different
lengthscales. In this talk I will describe various developments that leverage
latest data acquisiont and analysis techniques, sometimes powered by artificial
intelligence (AI) and machine learning (ML), that reveal how materials behave
on different length-scales and sometimes also timescales. The materials studied
include materials for sustainable energy, environmental remediation, and cultural
heritage studies, and techniques range from spatially resolved x-ray and electron
nanostrucuture studies and neutron diffraction and scattering.
authors:
- sbillinge
begin_date: 2024-11-05
end_date: 2024-11-08
location: Tsukuba, Japan
meeting_name: Japanese national institute for materials science ({NIMS}) annual
award symposium
notes:
- ian work
- mary rose
- yevgeny work
- ufPDF
- nature materials with Kimber
project:
- all
status: accepted
title: 'Real Materials in Action: studying structure on different length and time-scales'
type: invited
2412sb_kigali,rwanda:
abstract: 'Development of next generation materials for applications in sustainable
energy and beyond require us to study the structure of real materials in real
devices even as they operate: for example, putting operating batteries in the
beam, studying spatially resolved labs-on-chip, doing real-time autonomous experiments
and using computed tomography to see diffraction from cross-sections of bulk samples.
These developments, powered by wonderful synchrotron and neutron source and detector
developments, present major challenges on the data acquisition and analysis side.
I will describe experimental approaches that we have been developing for measuring
and analyzing atomic pair distribution functions (PDF) from synchtrotron x-ray
diffraction data. The experiments are straightforward and broadly accessible
through general user programs at synchrotrons, including mail-in experiments. Software
for analyzing the data can be run on laptop computers and is available free of
charge. I will present recent experimental developments, but also lay out approaches
for getting started doing experiments such as these.'
authors:
- sbillinge
begin_date: 2024-12-16
end_date: 2024-12-19
location: Kigali, Rwanda
meeting_name: 'African Materials Research Society (AMRS) Meeting '
notes: []
project:
- all
status: accepted
title: Structure-property studies of nano-materials using synchrotron radiation
type: invited
2409sb_krakow,poland:
abstract: tbd
Expand Down
Loading

0 comments on commit 1ed1127

Please sign in to comment.