Literature DB >> 26395941

Big-deep-smart data in imaging for guiding materials design.

Sergei V Kalinin1,2, Bobby G Sumpter1,2,3, Richard K Archibald1,3.   

Abstract

Harnessing big data, deep data, and smart data from state-of-the-art imaging might accelerate the design and realization of advanced functional materials. Here we discuss new opportunities in materials design enabled by the availability of big data in imaging and data analytics approaches, including their limitations, in material systems of practical interest. We specifically focus on how these tools might help realize new discoveries in a timely manner. Such methodologies are particularly appropriate to explore in light of continued improvements in atomistic imaging, modelling and data analytics methods.

Year:  2015        PMID: 26395941     DOI: 10.1038/nmat4395

Source DB:  PubMed          Journal:  Nat Mater        ISSN: 1476-1122            Impact factor:   43.841


  42 in total

1.  Origin of anomalous Pt-Pt distances in the Pt/alumina catalytic system.

Authors:  Karl Sohlberg; Sergey Rashkeev; Albina Y Borisevich; Stephen J Pennycook; Sokrates T Pantelides
Journal:  Chemphyschem       Date:  2004-12-10       Impact factor: 3.102

2.  Covalent 2D and 3D networks from 1D nanostructures: designing new materials.

Authors:  J M Romo-Herrera; M Terrones; H Terrones; S Dag; V Meunier
Journal:  Nano Lett       Date:  2007-03       Impact factor: 11.189

3.  Computer-assisted detection of mammographic masses: a template matching scheme based on mutual information.

Authors:  Georgia D Tourassi; Rene Vargas-Voracek; David M Catarious; Carey E Floyd
Journal:  Med Phys       Date:  2003-08       Impact factor: 4.071

4.  Parameter space compression underlies emergent theories and predictive models.

Authors:  Benjamin B Machta; Ricky Chachra; Mark K Transtrum; James P Sethna
Journal:  Science       Date:  2013-11-01       Impact factor: 47.728

5.  Resolution of coherent and incoherent imaging systems reconsidered - Classical criteria and a statistical alternative.

Authors:  Sandra Van Aert; Dirk Van Dyck; Arnold J den Dekker
Journal:  Opt Express       Date:  2006-05-01       Impact factor: 3.894

6.  Observation of transient structural-transformation dynamics in a Cu2S nanorod.

Authors:  Haimei Zheng; Jessy B Rivest; Timothy A Miller; Bryce Sadtler; Aaron Lindenberg; Michael F Toney; Lin-Wang Wang; Christian Kisielowski; A Paul Alivisatos
Journal:  Science       Date:  2011-07-08       Impact factor: 47.728

7.  Advanced scanning probe lithography.

Authors:  Ricardo Garcia; Armin W Knoll; Elisa Riedo
Journal:  Nat Nanotechnol       Date:  2014-08       Impact factor: 39.213

8.  Picometre-precision analysis of scanning transmission electron microscopy images of platinum nanocatalysts.

Authors:  Andrew B Yankovich; Benjamin Berkels; W Dahmen; P Binev; S I Sanchez; S A Bradley; Ao Li; Izabela Szlufarska; Paul M Voyles
Journal:  Nat Commun       Date:  2014-06-11       Impact factor: 14.919

9.  Direct observation of dopant atom diffusion in a bulk semiconductor crystal enhanced by a large size mismatch.

Authors:  Ryo Ishikawa; Rohan Mishra; Andrew R Lupini; Scott D Findlay; Takashi Taniguchi; Sokrates T Pantelides; Stephen J Pennycook
Journal:  Phys Rev Lett       Date:  2014-10-06       Impact factor: 9.161

10.  Flexible metallic nanowires with self-adaptive contacts to semiconducting transition-metal dichalcogenide monolayers.

Authors:  Junhao Lin; Ovidiu Cretu; Wu Zhou; Kazu Suenaga; Dhiraj Prasai; Kirill I Bolotin; Nguyen Thanh Cuong; Minoru Otani; Susumu Okada; Andrew R Lupini; Juan-Carlos Idrobo; Dave Caudel; Arnold Burger; Nirmal J Ghimire; Jiaqiang Yan; David G Mandrus; Stephen J Pennycook; Sokrates T Pantelides
Journal:  Nat Nanotechnol       Date:  2014-04-28       Impact factor: 39.213

View more
  22 in total

1.  Materials Science in the AI age: high-throughput library generation, machine learning and a pathway from correlations to the underpinning physics.

Authors:  Rama K Vasudevan; Kamal Choudhary; Apurva Mehta; Ryan Smith; Gilad Kusne; Francesca Tavazza; Lukas Vlcek; Maxim Ziatdinov; Sergei V Kalinin; Jason Hattrick-Simpers
Journal:  MRS Commun       Date:  2019       Impact factor: 2.566

Review 2.  Accurate lattice parameters from 2D-periodic images for subsequent Bravais lattice type assignments.

Authors:  P Moeck; P DeStefano
Journal:  Adv Struct Chem Imaging       Date:  2018-03-28

3.  Quantification of flexoelectricity in PbTiO3/SrTiO3 superlattice polar vortices using machine learning and phase-field modeling.

Authors:  Q Li; C T Nelson; S-L Hsu; A R Damodaran; L-L Li; A K Yadav; M McCarter; L W Martin; R Ramesh; S V Kalinin
Journal:  Nat Commun       Date:  2017-11-13       Impact factor: 14.919

Review 4.  Machine learning for molecular and materials science.

Authors:  Keith T Butler; Daniel W Davies; Hugh Cartwright; Olexandr Isayev; Aron Walsh
Journal:  Nature       Date:  2018-07-25       Impact factor: 49.962

5.  Big Data Analytics for Scanning Transmission Electron Microscopy Ptychography.

Authors:  S Jesse; M Chi; A Belianinov; C Beekman; S V Kalinin; A Y Borisevich; A R Lupini
Journal:  Sci Rep       Date:  2016-05-23       Impact factor: 4.379

6.  Adaptive Strategies for Materials Design using Uncertainties.

Authors:  Prasanna V Balachandran; Dezhen Xue; James Theiler; John Hogden; Turab Lookman
Journal:  Sci Rep       Date:  2016-01-21       Impact factor: 4.379

7.  Atomic-scale observation of structural and electronic orders in the layered compound α-RuCl3.

Authors:  M Ziatdinov; A Banerjee; A Maksov; T Berlijn; W Zhou; H B Cao; J-Q Yan; C A Bridges; D G Mandrus; S E Nagler; A P Baddorf; S V Kalinin
Journal:  Nat Commun       Date:  2016-12-12       Impact factor: 14.919

8.  Ultrafast current imaging by Bayesian inversion.

Authors:  S Somnath; K J H Law; A N Morozovska; P Maksymovych; Y Kim; X Lu; M Alexe; R Archibald; S V Kalinin; S Jesse; R K Vasudevan
Journal:  Nat Commun       Date:  2018-02-06       Impact factor: 14.919

9.  An open experimental database for exploring inorganic materials.

Authors:  Andriy Zakutayev; Nick Wunder; Marcus Schwarting; John D Perkins; Robert White; Kristin Munch; William Tumas; Caleb Phillips
Journal:  Sci Data       Date:  2018-04-03       Impact factor: 6.444

10.  Theory of Single-Impact Atomic Force Spectroscopy in liquids with material contrast.

Authors:  Enrique A López-Guerra; Francesco Banfi; Santiago D Solares; Gabriele Ferrini
Journal:  Sci Rep       Date:  2018-05-14       Impact factor: 4.379

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.