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Papers citing An open experimental database for exploring inorganic materials

  1. An open-source, end-to-end workflow for multidimensional photoemission spectroscopy

    Repository for Publications and Research Data (ETH Zurich) · 2020-12-17

    Rui Patrick Xian, Yves Acremann, Steinn Ýmir Ágústsson, Maciej Dendzik, Kevin Bühlmann, Davide Curcio, Dmytro Kutnyakhov, Federico Pressacco, Michael Heber, Shuo Dong, Tommaso Pincelli, Jure Demsar, W. Würth, Philip Hofmann, Martin Wolf, Markus Scheidgen, Laurenz Rettig, Ralph Ernstorfer

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  2. Accelerating organic solar cell material's discovery: high-throughput screening and big data

    Energy & Environmental Science · 2021-01-01

    Xabier Rodríguez‐Martínez, Enrique Pascual‐San‐José, Mariano Campoy‐Quiles

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  3. Combinatorial screening of the crystal structure in Ba–Sr–Mn–Ce perovskite oxides with ABO 3 stoichiometry

    Journal of Materials Chemistry A · 2021-01-01

    Su Jeong Heo, Andriy Zakutayev

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  4. Energy Material Network Data Hubs

    International Journal of Advanced Computer Science and Applications · 2021-01-01

    Robert White, Kristin R. Munch, Nicholas Wunder, Nalinrat Guba, Chitra Sivaraman, Kurt M. Van Allsburg, Huyen N. Dinh, Courtney Pailing

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  5. Proof of Concept: Calibration of an Overhead Line Conductors’ Movements Simulation Model Using Ensemble-Based Machine Learning Model

    IEEE Access · 2021-01-01

    Hamdi Amroun, Mehdi Ammi, Fikri Hafid

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  6. Identification of the dominant recombination process for perovskite solar cells based on machine learning

    Cell Reports Physical Science · 2021-02-01

    Vincent Marc Le Corre, Tejas S. Sherkar, Marten Koopmans, L. Jan Anton Koster

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  7. Reducing Time to Discovery: Materials and Molecular Modeling, Imaging, Informatics, and Integration

    ACS Nano · 2021-02-12

    Seungbum Hong, Chi Hao Liow, Jong Min Yuk, Hye Ryung Byon, Yongsoo Yang, EunAe Cho, Jiwon Yeom, Gun Park, Hyeonmuk Kang, Seung-Gu Kim, Yoonsu Shim, Moony Na, Chaehwa Jeong, Gyuseong Hwang, Hongjun Kim, Hoon Kim, Seongmun Eom, Seongwoo Cho, Hosun Jun, Yongju Lee, Arthur Baucour, Kihoon Bang, Myungjoon Kim, Seokjung Yun, Jeongjae Ryu, Youngjoon Han, Albina Jetybayeva, Pyuck‐Pa Choi, Joshua Agar, Sergei V. Kalinin, Peter W. Voorhees, P. B. Littlewood, Hyuck Mo Lee

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  8. Machine learning for material characterization with an application for predicting mechanical properties

    GAMM-Mitteilungen · 2021-03-01

    Anke Stoll, Peter Benner

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  9. Lessons learned from device modeling of organic & perovskite solar cells

    Unknown journal · 2021-03-09

    Vincent Le Corre

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  10. Chalcogenide perovskites for photovoltaics: current status and prospects

    Journal of Physics Energy · 2021-03-31

    Devendra Tiwari, Oliver S. Hutter, Giulia Longo

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  11. Density Prediction Models for Energetic Compounds Merely Using Molecular Topology

    Journal of Chemical Information and Modeling · 2021-04-12

    Chunming Yang, Jie Chen, Runwen Wang, Miao Zhang, Chaoyang Zhang, Jian Liu

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  12. Synthesis of Zn 2 NbN 3 ternary nitride semiconductor with wurtzite-derived crystal structure

    Journal of Physics Condensed Matter · 2021-04-22

    Andriy Zakutayev

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  13. NexusLIMS: A Laboratory Information Management System for Shared-Use Electron Microscopy Facilities

    Microscopy and Microanalysis · 2021-04-28

    Joshua A. Taillon, Thomas F. Bina, Raymond Plante, Marcus W. Newrock, Gretchen Greene, June W. Lau

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  14. Functional and Material Properties in Nanocatalyst Design: A Data Handling and Sharing Problem

    International Journal of Molecular Sciences · 2021-05-13

    Daniel Lach, Uladzislau Zhdan, Adam Smoliński, Jarosław Polański

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  15. Influence of Protection Layers on Thermal Stability of Nitride Thin Films

    physica status solidi (RRL) - Rapid Research Letters · 2021-05-18

    Andriy Zakutayev, Craig L. Perkins

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  16. ChemDataExtractor 2.0: Autopopulated Ontologies for Materials Science

    Journal of Chemical Information and Modeling · 2021-09-16

    Juraj Mavračić, Callum J. Court, Taketomo Isazawa, Stephen R. Elliott, Jacqueline M. Cole

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  17. Innovative Materials Science via Machine Learning

    Advanced Functional Materials · 2021-10-04

    Chaochao Gao, Xin Min, Minghao Fang, Tianyi Tao, Xiaohong Zheng, Yangai Liu, Xiaowen Wu, Zhaohui Huang

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  18. Synthesis, Properties and Applications of Lead-Free Perovskites:A Review

    Journal of Ultra Scientist of Physical Sciences Section A · 2021-10-07

    Sundar Singh, Fareed Ahmad

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  19. Research data infrastructure for high-throughput experimental materials science

    Patterns · 2021-11-11

    Kevin R. Talley, Robert White, Nick Wunder, Matthew G Eash, Marcus Schwarting, Dave Evenson, John D. Perkins, William Tumas, Kristin R. Munch, Caleb T. Phillips, Andriy Zakutayev

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  20. Data-driven thermoelectric modeling: Current challenges and prospects

    Journal of Applied Physics · 2021-11-15

    Mamadou T. Mbaye, Sangram K. Pradhan, Messaoud J. Bahoura

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  21. Implications of the BATTERY 2030+ AI‐Assisted Toolkit on Future Low‐TRL Battery Discoveries and Chemistries

    Advanced Energy Materials · 2021-11-23

    Arghya Bhowmik, Maitane Berecibar, Montse Casas‐Cabanas, Gábor Cśanyi, Robert Dominko, Kersti Hermansson, M. Rosa Palacín, Helge Sören Stein, Tejs Vegge

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  22. Addressing the critical need for open experimental databases in materials science

    Patterns · 2021-12-01

    Matthew K. Horton, Rachel Woods-Robinson

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  23. HV-KIC property charts of cemented carbides: A comprehensive data collection

    International Journal of Refractory Metals and Hard Materials · 2021-12-17

    Andrei Chychko, Jose Luis Garcia, Verónica Collado Ciprés, Erik Holmström, Andreas Blomqvist

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  24. Accelerating research on novel photovoltaic materials

    Faraday Discussions · 2022-01-01

    Thomas Unold

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  25. Artificial Intelligence based Approach for Rapid Material Discovery: From Chemical Synthesis to Quantum Materials

    Unknown journal · 2022-01-01

    Robert S. Tempke

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  26. From evaluating the performance of approximations in Density Functional Theory to a Machine Learning design

    Unknown journal · 2022-01-01

    Pedram Tavazohi

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  27. Local chemical origin of ferroelectric behavior in wurtzite nitrides

    Journal of Materials Chemistry C · 2022-01-01

    Keisuke Yazawa, John S. Mangum, Prashun Gorai, Geoff L. Brennecka, Andriy Zakutayev

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  28. Nitrogen stabilizes the wurtzite polymorph in ZnSe 1− x Te x thin films

    Journal of Materials Chemistry C · 2022-01-01

    Theodore H. Culman, Rachel Woods‐Robinson, John S. Mangum, Rebecca W. Smaha, Christopher L. Rom, Andriy Zakutayev, Sage R. Bauers

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  29. Perspectives in the new era of materials intelligent design

    Materials Lab · 2022-01-01

    Ruifeng Zhang

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  30. Prediction of dielectric constants of ABO 3 -type perovskites using machine learning and first-principles calculations

    Physical Chemistry Chemical Physics · 2022-01-01

    Eunsong Kim, Joonchul Kim, Kyoungmin Min

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  31. Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis

    Topics in Catalysis · 2022-01-13

    Miguel Steiner, Markus Reiher

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  32. Reduced synthesis temperatures of SrNbO2N perovskite films for photoelectrochemical fuel production

    Journal of materials research/Pratt's guide to venture capital sources · 2022-01-20

    Karen N. Heinselman, Lacey S. Roberts, James L. Young, Andriy Zakutayev

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  33. A Roadmap for Transforming Research to Invent the Batteries of the Future Designed within the European Large Scale Research Initiative BATTERY 2030+

    Advanced Energy Materials · 2022-01-21

    Julia Amici, Pietro Asinari, Elixabete Ayerbe, P. Barboux, Pascale Bayle‐Guillemaud, R. Jürgen Behm, Maitane Berecibar, Erik J. Berg, Arghya Bhowmik, Silvia Bodoardo, Ivano E. Castelli, Isidora Cekić-Lasković, Rune Christensen, Simon Clark, Ralf Diehm, Robert Dominko, Maximilian Fichtner, Alejandro A. Franco, Alexis Grimaud, Nicolas Guillet, Maria Hahlin, Sarah Hartmann, Vincent Heiries, Kersti Hermansson, Andreas Heuer, Saibal Jana, Lara Jabbour, Josef Kallo, Arnulf Latz, Henning Lorrmann, Ole Martin Løvvik, Sandrine Lyonnard, Marcel Meeus, Elie E. Paillard, Simon Perraud, Tobias Placke, Christian Punckt, Olivier Raccurt, Janna Ruhland, Edel Sheridan, Helge Sören Stein, Jean‐Marie Tarascon, Victor Trapp, Tejs Vegge, Marcel Weil, Wolfgang Wenzel, Martin Winter, Andreas Wolf, Kristina Edström

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  34. Machine Learning in Materials Chemistry: An Invitation

    Machine Learning with Applications · 2022-02-14

    Daniel M. Packwood, Linh Thi Hoai Nguyen, Pierluigi Cesana, Guoxi Zhang, Aleksandar Staykov, Yasuhide Fukumoto, Đình Hòa Nguyễn

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  35. Co-design of zinc titantium nitride semiconductor towards durable photoelectrochemical applications

    ChemRxiv · 2022-03-23

    Ann L. Greenaway, Sijia Ke, Theodore H. Culman, Kevin R. Talley, John S. Mangum, Karen N. Heinselman, Ryan Kingsbury, Rebecca W. Smaha, Elisa M. Miller, Kristin Aslaug Persson, John M. Gregoire, Sage R. Bauers, Jeffrey B. Neaton, Adele C. Tamboli, Andriy Zakutayev

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  36. Text Mining for Energy Materials

    Journal of Research in Science and Engineering · 2022-03-31

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  37. Recent advances and applications of deep learning methods in materials science

    npj Computational Materials · 2022-04-05

    Kamal Kumar Choudhary, Brian DeCost, Chi Chen, Anubhav Jain, Francesca Tavazza, Ryan Cohn, Cheol Woo Park, Alok Choudhary, Ankit Agrawal, Simon J. L. Billinge, Elizabeth A. Holm, Shyue Ping Ong, Chris M. Wolverton

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  38. A Perspective on Digital Knowledge Representation in Materials Science and Engineering

    Advanced Engineering Materials · 2022-04-12

    Bernd Bayerlein, Thomas Hanke, Thilo Muth, Jens Riedel, Markus Schilling, Christoph Schweizer, Birgit Skrotzki, Alexandru Todor, Benjamí Moreno Torres, Jörg F. Unger, Christoph Völker, Jürgen Olbricht

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  39. Role of disorder in the synthesis of metastable zinc zirconium nitrides

    Physical Review Materials · 2022-04-21

    Rachel Woods‐Robinson, Vladan Stevanović, Stephan Lany, Karen N. Heinselman, Matthew K. Horton, Kristin Aslaug Persson, Andriy Zakutayev

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  40. Materials Data toward Machine Learning: Advances and Challenges

    The Journal of Physical Chemistry Letters · 2022-04-28

    Linggang Zhu, Jian Xin Zhou, Zhimei Sun

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  41. A database of refractive indices and dielectric constants auto-generated using ChemDataExtractor

    Scientific Data · 2022-05-03

    Jiuyang Zhao, Jacqueline M. Cole

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  42. How statistical modeling and machine learning could help in the calibration of numerical simulation and fluid mechanics models? Application to the calibration of models reproducing the vibratory behavior of an overhead line conductor

    Array · 2022-05-30

    Hamdi Amroun, Fikri Hafid, Mehdi Ammi

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  43. CatS: A predictive and user-friendly framework based on machine learning models for the screening of heterogeneous catalysts

    Molecular Catalysis · 2022-06-10

    Gabriel Sardinha de Oliveira, Henrique Poltronieri Pacheco

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  44. Codesigning Alloy Compositions of CdSeyTe1−y Absorbers and MgxZn1−xO Contacts to Increase Solar Cell Efficiency

    Solar RRL · 2022-06-30

    Imran Khan, Tursun Ablekim, Deborah L. McGott, Brian Good, Craig L. Perkins, Wyatt K. Metzger, Andriy Zakutayev

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  45. Crystallize It before It Diffuses: Kinetic Stabilization of Thin-Film Phosphorus-Rich Semiconductor CuP 2

    Journal of the American Chemical Society · 2022-07-13

    Andrea Crovetto, Danny Kojda, Feng Yi, Karen N. Heinselman, David A. LaVan, Klaus Habicht, Thomas Unold, Andriy Zakutayev

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  46. Machine-Learning-Assisted Acceleration on High-Symmetry Materials Search: Space Group Predictions from Band Structures

    The Journal of Physical Chemistry C · 2022-07-18

    Bin Xi, Kin Fai Tse, Tsz-Fung Kok, Ho Ming Chan, Man Kit Chan, Ho Yin Chan, Kwan Yue Clinton Wong, Robin S. H. Yuen, Junyi Zhu

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  47. Zinc Titanium Nitride Semiconductor toward Durable Photoelectrochemical Applications

    Journal of the American Chemical Society · 2022-07-20

    Ann L. Greenaway, Sijia Ke, Theodore H. Culman, Kevin R. Talley, John S. Mangum, Karen N. Heinselman, Ryan Kingsbury, Rebecca W. Smaha, Melissa K. Gish, Elisa M. Miller, Kristin Aslaug Persson, John M. Gregoire, Sage R. Bauers, Jeffrey B. Neaton, Adele C. Tamboli, Andriy Zakutayev

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  48. Machine Learning for Electrocatalyst and Photocatalyst Design and Discovery

    Chemical Reviews · 2022-07-21

    Haoxin Mai, Tu C. Le, Dehong Chen, David Alan Winkler, Rachel A. Caruso

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  49. A Generative Approach to Materials Discovery, Design, and Optimization

    ACS Omega · 2022-07-24

    Dhruv Menon, Raghavan Ranganathan

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  50. Machine learning aided synthesis and screening of HER catalyst: Present developments and prospects

    Catalysis Reviews · 2022-07-30

    Masilamani Karthikeyan, Durga Madhab Mahapatra, Abdul Syukor Abd Razak, Abdulaziz A.M. Abahussain, Baranitharan Ethiraj, Lakhveer Singh

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