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Papers citing The 2019 materials by design roadmap

  1. Integrated computational materials engineering for advanced materials: A brief review

    Computational Materials Science · 2018

    William Yi Wang, Jinshan Li, Weimin Liu, Zi‐Kui Liu

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  2. The promise of artificial intelligence in chemical engineering: Is it here, finally?

    AIChE Journal · 2018

    Venkat Venkatasubramanian

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  3. A methodological review on material growth and synthesis of solar-driven water splitting photoelectrochemical cells

    RSC Advances · 2019

    Kwangwook Park, Yeong Jae Kim, Taeho Yoon, Selvaraj David, Young Min Song

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  4. ABO 3 and A 1−x C x B 1−y D y (O 1−z E z ) 3 : review of experimental optimisation of thin film perovskites by high-throughput evaporative physical vapour deposition

    Chemical Communications · 2019

    Samuel Guerin, Brian E. Hayden

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  5. Inertial effective mass as an effective descriptor for thermoelectrics via data-driven evaluation

    Journal of Materials Chemistry A · 2019

    Ady Suwardi, Daniil Bash, Hong Kuan Ng, Jose Recatala‐Gomez, D. V. Maheswar Repaka, Pawan Kumar, Kedar Hippalgaonkar

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  6. Making Machine Learning Work in Chemistry: Methodological Innovation, Software Development, and Application Studies

    Venue not supplied by source · 2019

    Mojtaba Haghighatlari

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  7. Nanoinformatics, and the big challenges for the science of small things

    Nanoscale · 2019

    Amanda Susan Barnard, Benyamin Motevalli, Amanda J. Parker, Julia Melisande Theresa Agatha Fischer, Christopher A. Feigl, George Opletal

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  8. Progress and prospects for accelerating materials science with automated and autonomous workflows

    Chemical Science · 2019

    Helge Sören Stein, John M. Gregoire

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  9. Symmetry based molecular design for triplet excitation and optical spin injection

    Physical Chemistry Chemical Physics · 2019

    Anna A. Szumska, Henning Sirringhaus, Jenny Nelson

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  10. Interplay between Composition, Electronic Structure, Disorder, and Doping due to Dual Sublattice Mixing in Nonequilibrium Synthesis of ZnSnN2:O

    Advanced Materials · 2019

    Jie Pan, Jacob J. Cordell, Garritt J. Tucker, Adele C. Tamboli, Andriy Zakutayev, Stephan Lany

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  11. Accessing Metastability in Heterostructural Semiconductor Alloys

    physica status solidi (a) · 2019

    Sebastian Siol

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  12. Advances of machine learning in molecular modeling and simulation

    Current Opinion in Chemical Engineering · 2019

    Mojtaba Haghighatlari, Johannes Hachmann

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  13. Analyzing machine learning models to accelerate generation of fundamental materials insights

    npj Computational Materials · 2019

    Mitsutaro Umehara, Helge Sören Stein, Dan Guevarra, Paul F. Newhouse, David A. Boyd, John M. Gregoire

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  14. Factors Controlling Open-Circuit Voltage Losses in Organic Solar Cells

    Trends in Chemistry · 2019

    Mohammed Azzouzi, Thomas Kirchartz, Jenny Nelson

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  15. Finding the needle in the haystack: Materials discovery and design through computational ab initio high-throughput screening

    Computational Materials Science · 2019

    Geoffroy Hautier

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  16. Automated estimation of materials parameter from X-ray absorption and electron energy-loss spectra with similarity measures

    npj Computational Materials · 2019

    Yuta Suzuki, Hideitsu Hino, Masato Kotsugi, Kanta Ono

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  17. Multiscale modelling of photoinduced processes in composite systems

    Nature Reviews Chemistry · 2019

    Benedetta Mennucci, Stefano Corni

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  18. Multifidelity Information Fusion with Machine Learning: A Case Study of Dopant Formation Energies in Hafnia

    ACS Applied Materials & Interfaces · 2019

    Rohit Batra, Ghanshyam Pilania, Blas Pedro Uberuaga, Rampi Ramprasad

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  19. Toward Design of Novel Materials for Organic Electronics

    Advanced Materials · 2019

    Pascal Friederich, Artem Fediai, Simon Kaiser, Manuel Konrad, Nicole Jung, Wolfgang Wenzel

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  20. Machine Learning the Voltage of Electrode Materials in Metal-Ion Batteries

    ACS Applied Materials & Interfaces · 2019

    Rajendra Prasad Joshi, Jesse Eickholt, Liling Li, Marco Fornari, Verónica Barone, Juan E. Peralta

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  21. Network analysis of synthesizable materials discovery

    Nature Communications · 2019

    Muratahan Aykol, Vinay I. Hegde, Linda Hung, Santosh K. Suram, Patrick K. Herring, Chris M. Wolverton, Jens S. Hummelshøj

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  22. Completing the picture through correlative characterization

    Nature Materials · 2019

    Timothy L. Burnett, Philip John Withers

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  23. A perspective on inverse design of battery interphases using multi-scale modelling, experiments and generative deep learning

    Energy storage materials · 2019

    Arghya Bhowmik, Ivano E. Castelli, Juan María García-Lastra, Peter Bjørn Jørgensen, Ole Winther, Tejs Vegge

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  24. Thin-Film Processing Routes for Combinatorial Materials Investigations—A Review

    ACS Combinatorial Science · 2019

    Paul J. McGinn

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  25. Symbolic regression in materials science

    MRS Communications · 2019

    Yiqun Wang, Nicholas Wagner, James M. Rondinelli

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  26. Status of materials and device modelling for kesterite solar cells

    Journal of Physics Energy · 2019

    Samantha N. Hood, Aron Walsh, Clas Persson, Konstantina Iordanidou, Dan Ding Huang, Mukesh Kumar, Zacharie Jehl Li‐Kao, Maykel Courel, Johan Lauwaert, Sanghyun Lee

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  27. Discovery of new materials using combinatorial synthesis and high-throughput characterization of thin-film materials libraries combined with computational methods

    npj Computational Materials · 2019

    Alfred Ludwig

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  28. Multi-component background learning automates signal detection for spectroscopic data

    npj Computational Materials · 2019

    Sebastian Ament, Helge Sören Stein, Dan Guevarra, Lan Zhou, Joel A. Haber, David A. Boyd, Mitsutaro Umehara, John M. Gregoire, Carla Pedro Gomes

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  29. Exchange bias and large room temperature magnetoresistance in ion beam-synthesized Co nanoparticles in SiO2

    Emergent Materials · 2019

    Jérôme Leveneur, Grant V M Williams, David R. G. Mitchell, John Vedamuthu Kennedy

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  30. Tracking materials science data lineage to manage millions of materials experiments and analyses

    npj Computational Materials · 2019

    Edwin Soedarmadji, Helge Sören Stein, Santosh K. Suram, Dan Guevarra, John M. Gregoire

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  31. Computationally Driven Discovery of a Family of Layered LiNiB Polymorphs

    Angewandte Chemie International Edition · 2019

    Volodymyr Gvozdetskyi, Gourab Bhaskar, Maria Batuk, Xin Zhao, Renhai Wang, Scott L. Carnahan, Michael P. Hanrahan, Raquel A. Ribeiro, Paul C. Canfield, Aaron J. Rossini, Cai‐Zhuang Wang, Kai‐Ming Ho, Joke Hadermann, Julia V. Zaikina

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  32. Computationally Driven Discovery of a Family of Layered LiNiB Polymorphs

    Angewandte Chemie · 2019

    Volodymyr Gvozdetskyi, Gourab Bhaskar, Maria Batuk, Xin Zhao, Renhai Wang, Scott L. Carnahan, Michael P. Hanrahan, Raquel A. Ribeiro, Paul C. Canfield, Aaron J. Rossini, Cai‐Zhuang Wang, Kai‐Ming Ho, Joke Hadermann, Julia V. Zaikina

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  33. The GIPAW approach for the study of local structures and the electric field gradients at Cd and Ta impurity sites. Application to doped yttria ceramics

    Computational Materials Science · 2019

    D. Richard, Arles Victor Gil Rebaza

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  34. An informatics software stack for point defect-derived opto-electronic properties: the Asphalt Project

    MRS Communications · 2019

    Jonathon N. Baker, Preston C. Bowes, Joshua S. Harris, Douglas L. Irving

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  35. Data‐Driven Materials Science: Status, Challenges, and Perspectives

    Advanced Science · 2019

    Lauri Himanen, Amber Geurts, Adam Stuart Foster, Patrick Rinke

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  36. Using Gaussian process regression to simulate the vibrational Raman spectra of molecular crystals

    New Journal of Physics · 2019

    Nathaniel Raimbault, Andrea Grisafi, Michele Ceriotti, Mariana Rossi

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  37. Discovery of blue singlet exciton fission molecules via a high-throughput virtual screening and experimental approach

    The Journal of Chemical Physics · 2019

    Collin F. Perkinson, Daniel P. Tabor, Markus Einzinger, Dennis Sheberla, Hendrik Utzat, Ting‐An Lin, Daniel N. Congreve, Moungi G. Bawendi, Alán Aspuru‐Guzik, Marc A. Baldo

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  38. Autonome Entdeckung in den chemischen Wissenschaften, Teil II: Ausblick

    Angewandte Chemie · 2019

    Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen

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  39. Autonomous Discovery in the Chemical Sciences Part II: Outlook

    Angewandte Chemie International Edition · 2019

    Connor W. Coley, Natalie S. Eyke, Klavs F. Jensen

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  40. Materials property prediction using symmetry-labeled graphs as atomic position independent descriptors

    Physical review. B./Physical review. B · 2019

    Peter Bjørn Jørgensen, Estefanía Garijo del Río, Mikkel Nørgaard Schmidt, Karsten W. Jacobsen

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  41. Quantum Materials with Atomic Precision: Artificial Atoms in Solids: Ab Initio Design, Control, and Integration of Single Photon Emitters in Artificial Quantum Materials

    Advanced Functional Materials · 2019

    Prineha Narang, Christopher J. Ciccarino, Johannes Flick, Dirk Englund

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  42. From NaZn4Sb3 to HT-Na1–xZn4–ySb3: Panoramic Hydride Synthesis, Structural Diversity, and Thermoelectric Properties

    Chemistry of Materials · 2019

    Volodymyr Gvozdetskyi, Bryan Owens‐Baird, Sangki Hong, Tori Cox, Gourab Bhaskar, Colin P. Harmer, Yang Sun, Feng Zhang, Cai‐Zhuang Wang, Kai‐Ming Ho, Julia V. Zaikina

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  43. Review of high-throughput approaches to search for piezoelectric nitrides

    Journal of Vacuum Science & Technology A Vacuum Surfaces and Films · 2019

    Kevin R. Talley, Rachel Sherbondy, Andriy Zakutayev, Geoff L. Brennecka

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  44. Learning acoustic emission signatures from a nanoindentation-based lithography process: Towards rapid microstructure characterization

    Tribology International · 2019

    Ashif Sikandar Iquebal, Shirish Pandagare, Satish Bukkapatnam

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  45. The Materials Research Platform: Defining the Requirements from User Stories

    Matter · 2019

    Muratahan Aykol, Jens S. Hummelshøj, Abraham Anapolsky, Koutarou Aoyagi, Martin Z. Bazant, Thomas Bligaard, Richard D. Braatz, Scott Broderick, Daniel A. Cogswell, John M. Dagdelen, Walter S. Drisdell, R. Edwin Garcı́a, Krishna Garikipati, Vikram Gavini, William E. Gent, Livia Giordano, Carla Pedro Gomes, Rafael Gómez‐Bombarelli, Chirranjeevi Balaji Gopal, John M. Gregoire, Jeffrey C. Grossman, Patrick K. Herring, Linda Hung, Thomas Francisco Jaramillo, Laurie Ann King, Ha-Kyung Kwon, Ryosuke Maekawa, Andrew M. Minor, Joseph H. Montoya, Tim Mueller, Colin Ophus, Krishna Rajan, Rampi Ramprasad, Brian A. Rohr, Daniel Schweigert, Yang Shao‐Horn, Yoshinori Suga, Santosh K. Suram, Venkatasubramanian Viswanathan, Jay F. Whitacre, Adam P. Willard, Olga Wodo, Chris M. Wolverton, Brian D. Storey

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  46. High-throughput fabrication and semi-automated characterization of oxide thin film transistors

    Chinese Physics B · 2019

    Yanbing Han, Sage R. Bauers, Qun Zhang, Andriy Zakutayev

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  47. Towards rapid, in situ characterization for materials-on-demand manufacturing

    Manufacturing Letters · 2019

    Ashif Sikandar Iquebal, Bhaskar Botcha, Satish Bukkapatnam

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  48. Coordinated Optical Matching of a Texture Interface Made from Demixing Blended Polymers for High-Performance Inverted Perovskite Solar Cells

    ACS Nano · 2019

    Cunyun Xu, Wei Hui Hu, Gang Wang, Lianbin Niu, Ahmed Mourtada Elseman, Liping Liao, Yanqing Yao, Gaobo Xu, Lie Luo, Debei Liu, Guangdong Zhou, Ping Li, Qunliang Song

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  49. Practical challenges in the development of photoelectrochemical solar fuels production

    Sustainable Energy & Fuels · 2019

    Mark T. Spitler, Miguel Antonio Modestino, Todd Gregory Deutsch, Chengxiang Xiang, James Robert Durrant, Daniel V. Esposito, Sophia Haussener, Stephen Maldonado, Ian D. Sharp, Bruce Alan Parkinson, David S. Ginley, Frances A. Houle, Thomas Hannappel, Nathan R. Neale, Daniel G. Nocera, Paul C. McIntyre

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  50. New Family of Anisotropic Zinc-Based Semiconductors in a Shallow Energy Landscape

    Chemistry of Materials · 2019

    Ankita Bhutani, Xiao Zhang, Piush Behera, Rangarajan Thiruvengadam, Shannon E. Murray, André Schleife, Daniel P. Shoemaker

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