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npj computational materials

Asia Pacific, eJournals, Publishers March 26, 2015 At present, we are witnessing an explosion of works that . npj Computational Materials is an online only, fully open access journal dedicated to publishing original results, review articles, and editorials on materials by design and integrated . 51. npj Computational Materials publishes original research documents in the arena of General Engineering and Technology, General Materials Science and General Physics. M1 - 126. article. The 2021 impact factor of Npj Computational Materials is 10.6, making it among the top 1% journals. 222: 0 |a npj computational materials 245: 1: 0 |a npj computational materials. npj computational materials (Online) Contributor. Through this web page, researchers can check the impact factor, total citation, journal quartile and journal aim & scope. npj Computational Materials (2017) 54 Published in partnership with the Shanghai Institute of Ceramics of the Chinese Academy of Sciences 1234567890. property is a continuous quantity (e.g., bulk modulus, band gap, melting temperature, etc.). However, the lack of user-friendly materials informatics web servers has . 10.1038/s41524-021-00678-3 New computational techniques - and the refinement of current approaches - that facilitate these aims are also welcome, as are experimental papers that . npj Quantum Materials 7, 61 (2022). Can machine learning identify the next high-temperature superconductor? }, doi = {10.1038/npjcompumats.2016.28}, journal = {npj Computational Materials}, number = 1, volume = 2, place = {United States}, year = {Fri Aug 26 00:00:00 . npj Computational Materials publishes high-quality research papers that apply computational approaches for the design of new materials, and for enhancing our understanding of existing ones. (2020). JF - npj Computational Materials. npj Computational Materials is a journal published by Nature Publishing Group. Nature Publishing Group. mater. article. }, journal = {npj Computational Materials}, volume = {8}, number = {1}, publisher = {Nature Publishing Group}, author = {Hu, Jianjun and Stefanov, Stanislav and Song, Yuqi and Omee, Sadman Sadeed and Louis, Steph . npj Computational Materials (2022) Deep-learning density functional theory Hamiltonian for efficient ab initio electronic-structure calculation He Li npj Computational Materials (2016) 16035 Published in partnership with the Shanghai Institute of Ceramics of the Chinese Academy of Sciences. New computational techniques - and the refinement of current approaches - that facilitate these aims are also welcome, as are experimental papers that . npj computational materials. Research output: Journal Publications and Reviews (RGC: 21, 22, 62) 62_Review of books or of software (or similar publications/items) peer-review Identifying candidate hosts for quantum defects via data mining. Impact Factor is the most common scientometric index, which is defined by the number of citations of papers in two preceding years divided by the number of papers published in those years. 4, 52 (2018). npj Computational Materials (2022) 214 Published in partnership with the Shanghai Institute of Ceramics of the Chinese Academy of Sciences. Entries tagged with "npj Computational Materials" NPG and Shanghai Institute of Ceramics launch the first Nature Partner Journal in China. Improve your chances of getting published in npj Computational Materials with Researcher.Life. Shanghai gui suan yan yan jiu suo, npj computational materials. About us; Press releases; Press office; Contact us; Discover content. The scope of the journal is focused on materials by design, data mining, materials data generation . Computational Materials Science 208, 111330 (2022). CAS CrossRef Google Scholar Meredig, B., et al. Inspect, but do not change, the convergence criteria. Extracting structural motifs from pair distribution function data of nanostructures using explainable machine learning - npj Computational Materials https://nature . Zhang, X., Nguyen, H., Paci, J. T., Sankaranarayanan, S. K. R. S., Mendoza-Cortes, J. L., & Espinosa, H. D. (2021). Publisher: Nature Publ. Scope. Molecular Systems Design & Engineering, 3, 819-825. It is an CC BY Journal with a Single blind Peer Review review system, and It has a price of 2490 . https://lnkd.in/daGuCRyc (2018). npj Computational Materials is editorially independent. It isn't only age either - the Nature Publishing Group clearly has an incentive to offer a range of journals for different topics and levels of impact, while preserving the reputation of their flagship . Status: Accepted. 2020 Dec 1;6(1). indicating that our computational method is reliable. Journals A-Z; Dykes Library The University of Kansas Medical Center 2100 West 39th Ave Kansas City, KS 66103 913-588-7166 Publication. articles. Instance. Using silicon (Si) as an . |a npj computational materials (Online) 210: 0 |a npj comput. npj Computational Materials Additional Journal Information: Journal Name: npj Computational Materials Journal Volume: 7 Journal Issue: 1; Journal ID: ISSN 2057-3960 Publisher: Nature Publishing Group Country of Publication: United Kingdom Language: English Subject: 36 MATERIALS SCIENCE. AU - Saal, James E. Nanotwinned and hierarchical nanotwinned metals: A review of experimental, computational and theoretical efforts Sun, L., He, X. Download PDF . ISSN (s): 2057-3960. As a subeld of the broader eld of integrated computational materials 1a), we showed that the computational dependence exists for two diversity metrics widely used in microbiome . We argue that such materials informatics apps should be widely developed by the community to speed up materials discovery processes. November 2015-. The quality of this journal is high, and it has high requirements for theoretical knowledge in mathematics, physics and other subjects. T1 - The Open Quantum Materials Database (OQMD) T2 - Assessing the accuracy of DFT formation energies. & Lu, J., 2018, In: npj Computational Materials. New computational techniques - and the refinement of current approaches - that facilitate these aims are also welcome, as are experimental papers . Click the button, or in the menu bar select Details Geometry Optimization. Problems can also involve discrete review articles. Congratulations to Aiden Ross for receiving the Penn State University Graduate Fellowship! Congrats to Jacob Zorn for receiving the Robert E. Newnham Research Excellence Award! npj Computational Materials is an open access, online-only, Nature Research journal published by Springer Nature in partnership with the Shanghai Institute of Ceramics of the Chinese Academy of Sciences. Exploration of organic superionic glassy conductors by process and materials informatics with lossless graph database Download PDF. This means the journal is among the top 3% in the sub-discipline of Mechanics of Materials. To limit the memory and computational usage, the data is partitioned into smaller subsets where the respective Pymatgen objects (Pymatgen is a robust, open-source Python library for materials . The journal is intended for academics, practitioners and researchers who are involved in such subjects of scientific research. Check npj Computational Materials Impact Factor, Overall Ranking, Rating, h-index, Call For Papers, Publisher, ISSN, Scientific Journal Ranking (SJR), Abbreviation, Acceptance Rate, Review Speed, Scope, Publication Fees, Submission Guidelines, other Important Details at ResearchBite the implementation of SIMD, the atomic feature vector x. n. In addition to accelerating the discovery of functional materials, high-throughput studies provide unique opportunities to improve the predictive accuracy of existing computational models, 98 and . Design high-entropy carbide ceramics from machine learning npj Computational Materials . 246: 1 |a Computational materials 264: 1 |a London : |b npg, nature partner journals in partnership with Shanghai Institute of Ceramics, Chinese Academy of Sciences (SICCAS), |c 2015- 336 London, npg, nature partner journals in partnership with Shanghai Institute of Ceramics, Chinese Academy of Sciences SICCAS, 2015-. Country: United Kingdom of Great Britain and Northern Ireland. By using two abundance randomisation techniques (see Materials and Methods, Fig. AU - Kirklin, Scott. 4, 6. All about npj Computational Materials at Researcher.Life. In the long run, the impact factor should increase. Corporate contributor: Nature Publishing Group, Corporate contributor: Zhongguo ke xue yuan. Open Access; Published: 18 March 2016; . Keywords (s): Modelling and Simulation, General Materials Science, Mechanics of Materials, Computer Science Applications. Initiative (MGI),1,2 highlights computational materials design techniques grounded in fundamental databases, which can support an ambition of decreasing the full development cycle of new materials from the present 10-20 years to 5 years. TY - JOUR. The journal covers the disciplines of Physics, Mathematics, Materials Science, Chemistry, Mechanics, Mechanics of Materials This work demonstrates a framework in which machine learning accelerates data interpretation by leveraging the expertize of the human scientist, and uses the use of neural network gradient analysis to automate prediction of the directions in parameter space that may increase performance by moving beyond . mater. ER - Ferrenti AM, de Leon NP, Thompson JD, Cava RJ. The team's work is presented in an article entitled " Quantum Simulations of Materials on Near-term Quantum Computer" that appears in the July 2020 issue of npj Computational Materials. This way, you can double-check that the input to VASP is correct before actually running the calculation . npj Computational Materials 2373-8065 npj Microgravity 2056-6387 npj Quantum Information 2052-4463 Scientific Data 1574-017X Mobile Information Systems 0197-6729 Journal of Advanced Transportation 0146-9428 Journal of Food Quality 1468-8115 Geofluids 1076-2787 Complexity 1555-4309 0161-0457 Scanning Momeni, K., Ji, Y., Wang, Y., Paul, S., Neshani, S., Yilmaz, D. E., Chen, L.-Q. npj Computational Materials has a 2-year impact factor:12.241 (2021), article downloads of 1,138,590 (2021) and 11 days from submission to the first editorial decision. Npj Computational Materials is the 7 th out of 320 Mechanics of Materials journals. Technology in general. The work, published in Nature NPJ Computational Materials, was a collaboration between researchers at the University of South Carolina College of Engineering and Computing and Guizhou University, a research university located in Guiyang, China. npj Computational Materials. npj Computational Materials publishes high-quality research papers that apply computational approaches for the design of new materials, and for enhancing our understanding of existing ones. npj computational materials | Read 907 articles with impact on ResearchGate, the professional network for scientists. eng. JO - npj Computational Materials. Npj Computational Materials' journal/conference profile on Publons, with 291 reviews by 133 reviewers - working with reviewers, publishers, institutions, and funding agencies to turn peer review into a measurable research output. Just published in npj Computational Materials Springer Nature Group: "Hybrid magnetorheological elastomers enable versatile soft actuators".Great collaboration within the European Research Council (ERC) project 4D-BIOMAP with Miguel ngel Moreno-Mateos Mokarram Hossain and Paul Steinmann! Nonlinear Optical and Photocurrent Responses in Janus MoSSe Monolayer and MoS 2 -MoSSe van der Waals Heterostructure Alex Strasser, Hua Wang, and Xiaofeng Qian Nano Letters 22, 4145-4152 (2022). IS - 1. The graph shows the changes in the impact factor of Npj Computational Materials and its the corresponding percentile for the sake of comparison with the entire literature. npj Computational Materials, 5, 1-8. Group : London 25. The latest impact factor of npj Computational Materials and all the other SCI journals has been released on 30th June 2022 by Clarivate. npj Computational Materials showcases high-quality . New paper in npj Computational Materials about ultrafast demagnetization! npj Computational Materials (npj Comput Mater) ISSN 2057-3960 (online) nature.com sitemap. Mater., Vol. Title proper: npj computational materials. The editors make their own decisions, independently of the . Quantitatively, the materials suggested by XGB d were actually the high-ZT materials with a probability of 50.00% (=100 21/42), whereas the materials suggested by SXGB d were actually the high . Download PDF. 2. It seems now we are finally getting these materials in real information technologies. Reader in Theoretical and Computational Condensed Matter Physics 10s Bu yayn rapor et . Step 5: Set the AMS settings 1. Get access to npj Computational Materials details, facts, key metrics, recently published papers, top authors, submission guidelines all at one place. . The hybridised H 3S-X states form additional features at the DOS curvesone or articles. npj Computational Materials NPJ COMPUT MATER Advances in Carbohydrate Chemistry and Biochemistry ADV CARBOHYD CHEM BI 0065-2318 EMBO Molecular Medicine EMBO MOL MED 1757-4676 CANCER TREATMENT REVIEWS CANCER TREAT REV 0305-7372 OPHTHALMOLOGY 0161-6420 JOURNAL OF BUSINESS VENTURING JACC-Heart Failure 126. npj Computational Materials (2020) 22 Published in partnership with the Shanghai Institute of Ceramics of the Chinese Academy of Sciences Reactive interatomic potentials . The research received support from the DOE Office of Science and the Air Force Office of Scientific Research. Language. This collection of statistical methods has already proved to be capable of considerably speeding up both fundamental and applied research. SN - 2057-3960. Abbreviated key-title: npj comput. npj computational materials | Read 894 articles with impact on ResearchGate, the professional network for scientists. article. Examining extrapolation performance for materials discovery. npj 2D Materials and Applications - Intrinsic bitunable magnetism/polarity behavior in 2D Janus Cr2I3Y3 (Y = F, Cl, or Br) systems . DOAJ is a community-curated online directory that indexes and provides access to high quality, open access, peer-reviewed journals. 2022 Congratulations to Aiden Ross for receiving the US National Science Foundation Graduate Fellowship! A peer-reviewed, open access journal in materials by design, data mining, materials data generation, computational studies & materials discovery. The revised manuscript was submitted in one month and a half, and it was accepted in 3 weeks. npj Computational Materials is a journal indexed in SJR in Materials Science (miscellaneous) and Modeling and Simulation with an H index of 41. Computational understanding of Li-ion batteries Download PDF. This Journal is the 8 th out of 2,248 Mathematics journals. 3. We demonstrate experimentally and numerically that hard particles contribute to torsional actuations . Download PDF . Extracting structural motifs from pair distribution function data of nanostructures using explainable machine learning Download PDF. All-optical control of spin in a 2D van der Waals magnet - Nature Communications The reactive-potential . for H 3SPbF 3 and lowest for H 3SPbI 3 (Figure 1c-f). Other variant title: Computational materials Original alphabet of title: Basic roman Subject: Dewey : 620.110285 Subject: Engineering. npj Computational Materials: Aim & Scope npj Computational Materials; One of the most exciting tools that have entered the material science toolbox in recent years is machine learning. Work. 2019; TLDR. New paper on npj Computational Materials - Lauri Himanen, Patrick Rinke and Adam Foster, Materials structure genealogy and high-throughput topological classification of surfaces and 2D materials, npj Comput. npj computational materials | Read 891 articles with impact on ResearchGate, the professional network for scientists. You can easily verify this by comparing the impact factors, which is >40 for Nature, and ~9 for npj Computational Materials, for example. Aims and Scope: The aim of the journal is to publish papers that advance the field of computational materials science through the application of modern computational methods alone or in conjunction with experimental techniques to discover new materials and investigate existing inorganic materials, such as metals, ceramics, composites, semiconductors, nanostructures, 2D materials, metamaterials . Multiscale computational understanding and growth of 2D materials: a review. https://lnkd.in/ebSZn7Sw. npj Computational Materials publishes high-quality research papers that apply computational approaches for the design of new materials, and for enhancing our understanding of existing ones. npj Computational Materials. This review surveys recent progress in continuum-level computational modeling of the degradation mechanisms of high-capacity anode materials for lithium-ion batteries. Representative journal . The availability and easy access of large-scale experimental and computational materials data have enabled the emergence of accelerated development of algorithms and models for materials property prediction, structure prediction, and generative design of materials. In this manuscript, we demonstrate how this new method can be used to predict diverse properties of crystalline and amorphous materials, such as band gap energy and glass-forming ability. npj computational materials. 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