The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. 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.

This graph shows how the impact factor of ^ is computed. The left axis depicts the number of papers published in years X-1 and X-2, and the right axis displays their citations in year X.

The graph shows the changes in the impact factor of ^ and its corresponding percentile for the sake of comparison with the entire literature. 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.

Materials research express Impact Factor 2024-2025 - ResearchHelpDesk - Materials Research Express (MRX) is a multidisciplinary journal devoted to publishing new experimental and theoretical research on the properties, characterization, design, and fabrication of all classes of materials, and on their technological applications. Characterized by article length flexibility and a fast-track peer review process, areas of particular interest include: Materials characterization Material properties Computational materials science and modelling Material applications Synthesis and fabrication Engineering applications of materials listed below Material classes within the journal scope* Biomaterials Carbon allotropes and 2D materials Electronic materials (including semiconductors) Glasses and ceramics Magnetic materials Metals and alloys Nanomaterials and nanostructures Photonic materials and metamaterials Polymers and organic compounds Smart materials Soft matter Superconducting materials Surfaces, interfaces and thin films Please note, MRX does not usually consider work relating to materials used solely for structural or civil engineering. However, within our 'Metals and Alloys' scope, we will consider work on new and complex alloys, aspects of tribology including lubrication and corrosion resistance; microstructure and structure analysis, surface wear analysis, etc. Abstracting and indexing services We work with our authors to help make their work as easy to discover as possible. MRX is currently included in the following abstracting and discovery services: Chemical Abstracts Service Directory of Open Access Journals (DOAJ) INIS (International Nuclear Information System) Inspec NASA Astrophysics Data System Scopus Web of Science (Science Citation Index Expanded, Current Contents/Physical Chemical and Earth Sciences) Yewno Unearth RG Journal Impact: 0.50 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2018 / 2019 0.50 2017 0.53 2016 0.99 2015 0.87 2014 0.73 Country United Kingdom - SIR Ranking of United Kingdom Subject Area and Category Materials Science Biomaterials Electronic, Optical and Magnetic Materials Metals and Alloys Polymers and Plastics Surfaces, Coatings and Films H Index 27 Publisher IOP Publishing Ltd Publication type Journals ISSN 20531591 Coverage 2014-2020

Journal policy on research data and code availability is an important part of the ongoing shift toward publishing reproducible computational science. This article extends the literature by studying journal data sharing policies by year (for both 2011 and 2012) for a referent set of 170 journals. We make a further contribution by evaluating code sharing policies, supplemental materials policies, and open access status for these 170 journals for each of 2011 and 2012. We build a predictive model of open data and code policy adoption as a function of impact factor and publisher and find higher impact journals more likely to have open data and code policies and scientific societies more likely to have open data and code policies than commercial publishers. We also find open data policies tend to lead open code policies, and we find no relationship between open data and code policies and either supplemental material policies or open access journal status. Of the journals in this study, 38% had a data policy, 22% had a code policy, and 66% had a supplemental materials policy as of June 2012. This reflects a striking one year increase of 16% in the number of data policies, a 30% increase in code policies, and a 7% increase in the number of supplemental materials policies. We introduce a new dataset to the community that categorizes data and code sharing, supplemental materials, and open access policies in 2011 and 2012 for these 170 journals.

Materials research express Acceptance Rate - ResearchHelpDesk - Materials Research Express (MRX) is a multidisciplinary journal devoted to publishing new experimental and theoretical research on the properties, characterization, design, and fabrication of all classes of materials, and on their technological applications. Characterized by article length flexibility and a fast-track peer review process, areas of particular interest include: Materials characterization Material properties Computational materials science and modelling Material applications Synthesis and fabrication Engineering applications of materials listed below Material classes within the journal scope* Biomaterials Carbon allotropes and 2D materials Electronic materials (including semiconductors) Glasses and ceramics Magnetic materials Metals and alloys Nanomaterials and nanostructures Photonic materials and metamaterials Polymers and organic compounds Smart materials Soft matter Superconducting materials Surfaces, interfaces and thin films Please note, MRX does not usually consider work relating to materials used solely for structural or civil engineering. However, within our 'Metals and Alloys' scope, we will consider work on new and complex alloys, aspects of tribology including lubrication and corrosion resistance; microstructure and structure analysis, surface wear analysis, etc. Abstracting and indexing services We work with our authors to help make their work as easy to discover as possible. MRX is currently included in the following abstracting and discovery services: Chemical Abstracts Service Directory of Open Access Journals (DOAJ) INIS (International Nuclear Information System) Inspec NASA Astrophysics Data System Scopus Web of Science (Science Citation Index Expanded, Current Contents/Physical Chemical and Earth Sciences) Yewno Unearth RG Journal Impact: 0.50 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2018 / 2019 0.50 2017 0.53 2016 0.99 2015 0.87 2014 0.73 Country United Kingdom - SIR Ranking of United Kingdom Subject Area and Category Materials Science Biomaterials Electronic, Optical and Magnetic Materials Metals and Alloys Polymers and Plastics Surfaces, Coatings and Films H Index 27 Publisher IOP Publishing Ltd Publication type Journals ISSN 20531591 Coverage 2014-2020

With the development of science and technology, large-scale optimization tasks have become integral to cutting-edge engineering. The challenges of solving these problems arises from ever-growing system sizes, intricate physical space, and the computational cost required to accurately model and optimize target objectives. Taking the design of advanced functional materials as an example, the high-dimensional parameter space and high-fidelity physical simulations can demand immense computational resources for searching and iterations. Although emerging machine learning techniques have been combined with conventional experimental and simulation approaches to explore the design space and identify high-performance solutions, these methods are still limited to a small part of the design space around those materials have been well investigated.

Over the past several decades, continuous development of both hardware and algorithms have addressed some of the challenges. High-performance computing (HPC) architectures and heterogeneous systems have greatly expanded the capacity to perform large-scale calculations and optimizations; On the other hand, the emergence of machine learning frameworks and algorithms have dramatically facilitated the development of advanced models and enable the integration of AI-driven techniques into traditional experiments and simulations more seamlessly. In recent years, quantum computing (QC) has received widespread attention due to its powerful performance on solving global optima and is regarded as a promising solution to large-scale and non-linear optimization problems in the future, and in the meantime, the quantum computing principles also expand the capacity of classical algorithms on exploring high-dimensional combinatorial spaces. In this dissertation, we will show the power of the integration of machine learning algorithms, quantum algorithms and HPC architectures on tackling the challenges of solving large-scale optimization problems.

In the first part of this dissertation, we introduced an optimization algorithm based on a Quantum-inspired Genetic Algorithm (QGA) to design planar multilayer (PML) for transparent radiative cooler (TRC) applications. Results of numerical experiments showed that our QGA-facilitated optimization algorithm can converge to comparable solutions as quantum annealing (QA) and the QGA overperformed on classical genetic algorithm (CGA) on both convergence speed and global search capacity. Our work shows that quantum heuristic algorithms will become powerful tools for addressing the challenges traditional optimization algorithm faced when solving large-scale optimization problems with complex search space.

In the second part of the dissertation, we proposed a quantum annealing-assisted lattice optimization (QALO) algorithm for high-entropy alloy (HEA) systems. The algorithm is developed based on the active learning framework that integrates the field-aware factorization machine (FFM), quantum annealing (QA) and machine learning potential (MLP). When applying to optimize the bulk grain configuration of the NbMoTaW alloy system, our algorithm can quickly obtain low-energy microstructures and the results successfully reproduce the Nb segregation and W enrichment in the bulk phase driven by thermodynamic driving force, which usually be observed in the experiments and MC/MD simulations. This work highlights the potential of quantum computing in exploring the large design space for HEA systems.

In the third part of the dissertation, we employed the Distributed Quantum Approximate Optimization Algorithm (DQAOA) to address large-scale combinatorial optimization problems that exceed the limits of conventional computational resources. This was achieved through a divide-and-conquer strategy, in which the original problem is decomposed into smaller sub-tasks that are solved in parallel on a high-performance computing (HPC) system. To further enhance convergence efficiency, we introduced an Impact Factor Directed (IFD) decomposition method. By calculating impact factors and leveraging a targeted traversal strategy, IFD captures local structural features of the problem, making it effective for both dense and sparse instances. Finally, we explored the integration of DQAOA with the Quantum Framework (QFw) on the Frontier HPC system, demonstrating the potential for efficient management of large-scale circuit execution workloads across CPUs and GPUs.

RSC Advances Impact Factor 2024-2025 - ResearchHelpDesk - RSC Advances papers should provide an insight that advances the chemistry field. Papers that contain little or no chemistry and are not considered to be of interest or relevance to the chemistry community are not within the scope of the journal. The criteria for publication are that the work must be high quality, well-conducted and advance the development of the field. Articles submitted to the journal are evaluated by our international team of associate editors and reviewers for the overall quality and accuracy of the science presented. RSC Advances Subject Categories Main category Sub-categories Analytical Bioanalytical Medical diagnostics Atomic/elemental Microfluidics Chemometrics Nanoanalysis Crystallography Sensors Electroanalytical Separation science Imaging/microscopy Spectroscopy Mass spectrometry Biological Biomedical Microbiology Biophysics Molecular biology Cell biology Photobiology Computational Synthetic biology Diagnostics Systems biology Chemical biology & medicinal Bioinorganic chemistry Molecular biology Bioorganic chemistry Nanotechnology Biotechnology Natural products Cellular chemistry Polymorphism (pharma) Computational Pharmacology Drug delivery Photobiology Drug discovery Structural biology Imaging/diagnostics Toxicology Catalysis Acid/base Nanocatalysis Biocatalysis Organocatalysis Electrocatalysis Photocatalysis Heterogeneous Redox Homogeneous Energy Biofuels & biomass Hydrogen Biotechnology Materials & nanotechnology Fossil fuels Nuclear power Electrochemical energy Solar energy Environmental Analysis Remediation Atmosphere Soils/sediments Ecology Toxicity Nanoscience Water Radioactivity Food Food analysis Food structure Food colloids Nutrition Food processing Packaging Food safety Inorganic Group 1 & 2 metals Organometallic Bioinorganic Solid state Coordination chemistry Supramolecular Lanthanides/actinides Transition metals Main-group chemistry Main category Sub-categories Materials Biomaterials Gels & soft matter Biopolymers Inorganic materials Carbon materials Medical materials Composites Nanomaterials Electronic materials Optical materials Encapsulation Organic materials Energy applications Polymers Films/membranes Nanoscience Assembly Nanomaterials Biotechnology Nanomedicine Carbon nanomaterials Nanotoxicology Imaging/microscopy Optical nanomaterials Nanoanalysis Synthesis Nanocatalysis Organic Bioorganic Physical organic Catalysis Stereochemistry Sustainable synthesis Supramolecular Fine chemicals Synthetic methodology Natural products Total synthesis Physical Biophysics Nanoscience Charge transfer Photoscience Electrochemistry Quantum & theoretical Energy research Simulations Kinetics & dynamics Single molecules Imaging/microscopy Soft matter Materials Spectroscopy Mechanics Surfaces & interfaces RSC Advances Article processing charges and licensing Article processing charge Full price £750 (+local taxes if applicable)* Corresponding authors from India, Indonesia and Philippines £500 (+local taxes if applicable) Corresponding authors from Research4Life Group A & Group B Full APC waiver Readership information Readership includes academic, government and industrial scientists from all disciplines, specialised or interdisciplinary, including the following. Organic Medicinal Inorganic Organometallic Physical and theoretical chemists Analytical Materials Polymer Surface Sustainable energy and environmental scientists Biochemists Biologists Physicists Engineers

Chemical Society Reviews Impact Factor 2024-2025 - ResearchHelpDesk - Chemical Society Reviews - Chem Soc Rev is the Royal Society of Chemistry's leading reviews journal. We publish high-impact, authoritative and reader-friendly review articles covering important topics at the forefront of the chemical sciences. We welcome and encourage proposals for reviews from members of the research community. Chemical Society Reviews Scope Chem Soc Rev publishes review articles covering important topics at the forefront of the chemical sciences. Reviews should be of the very highest quality and international impact. We particularly encourage international and multidisciplinary collaborations among our authors. Our scope covers the breadth of the chemical sciences, including interdisciplinary topics where the article has a basis in chemistry. Topics include: Analytical chemistry Biomaterials chemistry Bioorganic/medicinal chemistry Catalysis Chemical Biology Coordination Chemistry Crystal Engineering Energy Sustainable chemistry Green chemistry Inorganic chemistry Inorganic materials Main group chemistry Nanoscience Organic chemistry Organic materials Organometallics Physical chemistry Supramolecular chemistry Synthetic methodology Theoretical and computational chemistry

Chemical Society Reviews Acceptance Rate - ResearchHelpDesk - Chemical Society Reviews - Chem Soc Rev is the Royal Society of Chemistry's leading reviews journal. We publish high-impact, authoritative and reader-friendly review articles covering important topics at the forefront of the chemical sciences. We welcome and encourage proposals for reviews from members of the research community. Chemical Society Reviews Scope Chem Soc Rev publishes review articles covering important topics at the forefront of the chemical sciences. Reviews should be of the very highest quality and international impact. We particularly encourage international and multidisciplinary collaborations among our authors. Our scope covers the breadth of the chemical sciences, including interdisciplinary topics where the article has a basis in chemistry. Topics include: Analytical chemistry Biomaterials chemistry Bioorganic/medicinal chemistry Catalysis Chemical Biology Coordination Chemistry Crystal Engineering Energy Sustainable chemistry Green chemistry Inorganic chemistry Inorganic materials Main group chemistry Nanoscience Organic chemistry Organic materials Organometallics Physical chemistry Supramolecular chemistry Synthetic methodology Theoretical and computational chemistry