Future Materials is an international, peer-reviewed, open access journal dedicated to publishing high-impact, pioneering research on disruptive materials that enable next generation technologies. The journal provides a global platform for fundamental discoveries, technological innovations, and interdisciplinary advances in materials science, aiming tot shape the future of science, engineering, and society.
As artificial intelligence, advanced manufacturing, quantum technologies, aerospace engineering, biotechnology, and sustainable development continue to reshape the technological landscape, materials science is entering a new era driven by intelligence, data-centric paradigms, automation, and digital innovation. Future Materials focuses on transformative materials research that addresses emerging technological challenges by deeply integrating materials science with artificial intelligence, computational science, robotics, digital engineering, and advanced manufacturing.
Scope and Representative topics
The journal covers, but is not limited to, the following forward-looking research areas:
- Materials for Intelligent Systems - smart materials, functional materials, intelligent sensing, embodied intelligence, soft robotics, neuromorphic materials, and autonomous systems.
- Materials for Computing & Information Technologies - semiconductors, photonic and electronic materials, quantum materials, neuromorphic computing materials, and next-generation communication technologies.
- Materials for Advanced Manufacturing - intelligent manufacturing, additive 4D manufacturing, biofabrication, digital manufacturing, micro/nano-manufacturing, and scalable materials production.
- Materials for Space, Energy & Sustainability - aerospace materials, extreme-environment materials, energy storage and conversion materials, carbon capture and low-carbon technologies, circular economy, and sustainable/recyclable materials.
- Materials for Healthcare - biomaterials, regenerative materials, tissue engineering, bioelectronics, neural interfaces, wearable diagnostics, precision medicine, and advanced medical technologies.
- AI-Driven Materials Innovation - materials informatics, materials foundation models, generative AI, machine learning, autonomous laboratories, high-throughput experimentation, digital twins, physics-informed models, and inverse materials design.
Article Types and Audience
Future Materials publishes a variety of article types, including original Research Articles, comprehensive Reviews, Perspectives, Viewpoints, Communications, and Editorials. The journal targets a broad, interdisciplinary audience of materials scientists, chemists, physicists, engineers, computer scientists, and researchers in related fields who are driving the next wave of technological innovation.
Commitment to Excellence and Open Science
The journal particularly welcomes research demonstrating scientific originality, disruptive innovation, interdisciplinary integration, and transformative technological impact. We are committed to open science and encourage the sharing of underlying data, models, and code where applicable. Future Materials is committed to publishing the discoveries that define the next generation of materials and enable the technologies of tomorrow.
