Journals in Solid state physics general
Journals in Solid state physics general
Newton
Newton, a sibling journal to Cell, aims to be the home of highly influential advances in physics that further our understanding of nature and that help bring a positive impact on society through the application of such knowledge. As a monthly journal, Newton publishes research articles, reviews, perspectives, comments, previews and other editorial content of interest to the global physics community. The journal's mission is to be a platform for the dissemination of outstanding, robust research and compelling ideas that span the broad scope of physics, from fundamental to applied areas, and that foster cross-field collaboration. Examples of topical areas of interest include but are not limited to:Condensed matter physicsElectronics, photonics and device physicsQuantum science and technologyAtomic, molecular and optical physicsSoft matter physicsBiophysicsCom... systems and statistical physicsFluid dynamics and physics of climateNewton is committed to serving the needs of physics researchers by upholding values of transparency, integrity and inclusivity of the diverse aspects of physics around the world, throughout its peer review process and editorial operations.- ISSN: 2950-6360
Physica E: Low-Dimensional Systems and Nanostructures
Physica E: Low-dimensional Systems and Nanostructures publishes original research and authoritative reviews on the physics of systems in which reduced dimensionality or nanoscale structure gives rise to novel quantum and classical phenomena.The journal is dedicated to advancing fundamental understanding of low-dimensional and nanoscale systems, with an emphasis on physical mechanisms, emergent behaviour, and experimentally relevant predictions.Core focus areasTopics of interest include, but are not limited to:Quantum transport and electronic structure in low-dimensional systems (e.g. quantum wires, quantum dots, 2D materials, van der Waals heterostructures)Moi... and twistronic systems, including correlated and flat-band physicsTopological phases of matter, edge states, and non-trivial band topology in reduced dimensionsStrongly correlated and many-body phenomena in nanoscale and low-dimensional systemsSpin, valley, and pseudospin physics, including spin–orbit coupling and spin transportHybrid quantum systems, including semiconductor–superc... photonic, and magnonic platformsNon-equilib... and driven systems, ultrafast dynamics, and time-dependent phenomena at the nanoscaleQuantum coherence and quantum information aspects in nanostructuresOptica... and excitonic effects, plasmonics, and light–matter interaction in low-dimensional systemsMesoscopic physics and fluctuations, including noise, correlations, and disorder effectsSubmissions to Physica E should advance the physical understanding of low-dimensional and nanoscale systems, whether through experiment, theory, computation or their combination. The journal prioritises work that reveals new mechanisms, emergent phenomena, or conceptually significant insights, with clear connections to experimentally relevant systems or observables. Theoretical and computational studies should go beyond routine modelling to deliver genuinely new physics or predictive frameworks, ideally with experimental relevance. Purely materials-driven investigations—such as extensive calculations on hypothetical systems without clear physical novelty—are generally outside the journal’s scope. Experimental work is expected to emphasise underlying physics rather than incremental technical advances, reinforcing Physica E’s role as a physics-focused journal on phenomena arising from reduced dimensionality and nanoscale structure.- ISSN: 1386-9477
Physica B: Condensed Matter
Physica B: Condensed Matter comprises all condensed matter physics, including theoretical, computational, and experimental research. These contributions must be accompanied by a thorough discussion of relevant phenomena in condensed matter and materials physics. The journal is welcoming submissions exploring the following areas: • Ordered phenomena: magnetism, ferroelectricity and multiferroics; charge and orbital orderings; spin waves; superconductivity and superfluidity; nematic phases; other ordered phases in condensed matter • Disordered phenomena: amorphous materials and glasses; spin glasses and random field systems; Anderson localization; other disordered phases in condensed matter • Optics: nonlinear optical and Kerr effects; photoluminescence; other optical effects in condensed matter • Strongly correlated systems: heavy fermions; Mott insulators; Hubbard model systems; perovskites, ruthenates; superconductors; transition metal dichalcogenides; and other systems and materials with strong electron correlations • Materials physics: exploration of materials’ properties, such as electrical conductivity, optical, mechanical, thermal, and magnetic properties beyond simple characterization, underlying the material behavior. Metals, oxides, metal-organics, polymers, ceramics, semiconductors, alloys, high entropy alloys, composites, and related materials • Nanostructures and nanomaterials: theoretical and experimental exploration of nanoscale systems, including nanoparticles; nanotubes; nanowires; quantum dots, wires, wells; thin films, and other related nanomaterials • Quantum materials: quantum Hall effect, spintronics, topological insulators, spin-liquid, spin-orbit coupling materials; other materials ruled by quantum mechanical effects • Surfaces and interfaces: theoretical and experimental analyses of surface structure, surface chemistry, and interfaces in materials; applications • Computational materials: exploration of simulation methods (including molecular dynamics, Monte Carlo, and density functional theory) and modeling techniques (such as first-principles calculations, tight-binding models, and uses of machine learning) to understand materials properties or workflow developments in materials design. Investigation of materials design strategies, like high-throughput screening and other computational tools, tailored for condensed matter researchAlong the submission process, authors are requested to choose one of the following sections for their contribution:• Applied Physics• Computational Materials• Materials Physics• Nanostructures and Quantum Materials• Optics and Photonics• Ordered Phenomena• Strongly Correlated Systems- ISSN: 0921-4526
Current Applied Physics
Physics, Chemistry and Materials Science An official journal of the Korean Physical SocietyCurrent Applied Physics (Curr. Appl. Phys.) is a monthly published international interdisciplinary journal covering all applied science in physics, chemistry, and materials science, with their fundamental and engineering aspects.Topics covered in the journal are diverse and reflect the most current applied research, including:Physics and applications of nanoscale materials Energy-related materials and devices Semiconductor & neuromorphic device physics 2D materials physics and engineeringPhotonics... optics, optoelectronics, and spectroscopyFunction... materials and oxidesAl & simulation for applied physicsAdvanced scientific instrumentation and detectorsPlasma physics and technology Biophysics and bioengineering, including soft matters and fluidsSpintronics and superconductivity Organic electronics and photonics Regular research papers, letters and review articles with contents meeting the scope of the journal will be considered for publication after peer review.The journal is owned by the Korean Physical Society (http://www.kps.or.k... )- ISSN: 1567-1739
Computational Condensed Matter
The journal of Computational Condensed Matter publishes articles based on computational modeling of novel physical properties of materials, ranging from the synthesis, characterization and processing of materials, structures and devices to the numerical methodology of materials simulations. It publishes articles making any contributions on quantum, classical and statistical mechanical studies. The journal also publishes articles on the development or implementation of new methodologies and/or the improvement of existing computational methods or techniques.The journal publishes topics including:Structural and Mechanical properties and defectsDisordered SystemsDynamics, lattice effects and supraconductivityMag... and Magnetic MaterialsElectronic Structure , Excited states, Electronic transportSurfaces, Interfaces, Hybrid materials, and Topological materialsNanoscience... and NanotechnologiesMach... Learning and Big data applied to Condensed MatterThe computed physics properties should be based on the application of modern computational methods, such as: • First principle calculations • Density functional theory • Excited states properties based on the so called GW method or any other many-body perturbation method • Atomic and molecular-scale simulations based on either Monte Carlo or Molecular Dynamics techniques • Semi-empirical simulations based either on tight-binding, or embedded-atom methods • Other modeling techniques using macroscopic input, such as FE-methods or multiscale modeling. • Developing next-generation Machine Learning (ML) force fields for high-accuracy molecular dynamics simulations of complex materials, enabling atomic-scale insights into phase transitions and non-equilibrium behavior.• Creating ML-parameterized Density Functional Theory (DFT) frameworks to accurately model strongly correlated materials, overcoming current limitations of traditional exchange-correlation functionals.The journal also publishes articles on the development or implementation of new methodologies and/or the improvement of existing computational methods or techniques.Research articles will be assessed based on originality and scientific merit. The journal will not consider articles based solely on results obtained using available computer codes without producing significant new results that contribute to the improvement of computational condensed matter physics. The authors should motivate their study by giving a state of the art in their actual research area and state clearly the objective of their work.- ISSN: 2352-2143
