About the journal
Materials Futures is an international multidisciplinary gold open access journal focusing on publishing original works, perspectives, reviews, articles in all areas of basic and applied materials science and technology. Topic of interests include but are not limited to the following:
Structural Materials: Materials whose mechanical properties, such as elasticity, hardness, and strength etc. are focus of study. Examples include but not limited to:
- Metals and ceramics.
- Alloys including high entropy alloys, shape memory alloys etc.
- Non-crystalline materials and glasses.
- Composite materials.
- Materials in the extreme.
Energy Materials: Materials and devices for energy storage and conversion. Examples include but not limited to:
- Photovoltaic devices & materials, including materials for perovskite, organic, silicon solar cells etc.
- Artificial photosynthesis materials.
- Energy harvesting technologies and materials, including nanogenerator etc.
- Thermoelectric devices and materials.
- Batteries and supercapacitors materials, including electrode, separator, binder and electrolyte materials.
- Flow batteries and related electrode & electrolyte materials.
- Fuel cell technology and related electrode & catalyst materials.
- Electrolysis related materials.
- Catalytic materials and processes for energy generation, conversion and storage.
Nanomaterials: Nanoscale materials with novel properties. Examples include but not limited to:
- Granular materials.
- 2D materials and coatings.
- Nanomaterial and nanodevice applications, such as in magnetic devices, optics, catalysis, microelectronics, pharmaceutics, and energy technologies.
- Nanomaterial synthesis, processing, treatment, characterizations, and engineering.
Biomaterials: Bio and bioinspired materials, polymers, colloids, gels etc. Examples include but not limited to:
- Bioactive materials, including nanomaterials, hydrogels, 2D materials, biopolymers, composites, biohybrids, biomimetics, as well as inorganic materials for biomedical applications.
- Nanomedical biomaterials, with applications in drug delivery, imaging, theranostics, gene therapy, and immunotherapy, and for therapy of infectious diseases, cancer, metabolic diseases, and cardiovascular diseases, as well as for vaccines and precision medicine.
- Tissue engineering and regenerative medicine biomaterials, including scaffolds and scaffold-free approaches. For example, for bone, ligament, and muscle tissue engineering, skin regeneration and wound healing, nerve grafts, cardiac patches and tissue vascularization.
- Bio-fabrication-relative materials, including (bio)inks and technologies, toward generation of functional tissues and organs.
Quantum Materials: Materials and devices where quantum physics plays an essential role in describing their emergent properties. Examples include but not limited to:
- Exotic correlated materials: Synthesis and characterization of materials like superconductors, topological insulators, Van der Waals magnets, Weyl semimetals, spin-orbit coupling compounds, etc.
- Materials for photonics and electromechanical devices where quantum physics is clearly demonstrated (spin, quantum confinement, entanglement, quantum statistics, quantum coherence).
- Condensed matter exhibiting quantum entanglement.
Low-dimensional magnetic materials, stripes, ladders and molecular magnets
- Technologically relevant magnets, including bulk hard and soft magnetic materials, spintronic materials, magnetoelastic/striction, magnetic recording materials, magnetocaloric, multiferroic and magnetoelectric materials.
- Growth and characterization of heterostructures.
- Fabrication and characterization of materials and interfaces for quantum technology applications and quantum devices.
- Materials for qubits.
- Emergent properties of quantum materials (magnetic monopoles, spin-ice, Skyrmions, vortex lattice etc.)
Materials Theories and Computation: Examples include but not limited to:
- Materials theory.
- Materials property prediction.
- Materials design.
- Materials genome including high throughput computation.
- Artificial intelligence and machine learning applications in materials science.
- Materials simulation, including quantum mechanical, atomistic, microstructural, continuum-based simulations.
- Thermodynamic and phase diagram calculations.
- Interatomic potentials/force fields.