Aims

Journal of Mechanoinformatics is a peer-reviewed open-access journal dedicated to the emerging interdisciplinary field of mechanoinformatics, which integrates mechanics, data science, artificial intelligence and computational science.

Led by a distinguished global editorial board, the journal strives to publish the most original and transformative research, review articles and cutting-edge communications across this dynamic discipline. Our core mission is to advance fundamental theories, innovative methodologies and cross-disciplinary paradigms of mechanoinformatics, provide a leading global academic platform for researchers, and facilitate the worldwide exchange and dissemination of cutting-edge achievements.

Scope

The journal welcomes high-quality original research papers, perspective reviews and technical communications covering theoretical, computational and applied investigations in the field of mechanoinformatics. The main topics are consolidated into the following core categories:

• Data-driven methods & scientific machine learning in mechanics
  Physics-informed machine learning, big data analytics, intelligent algorithms, multi-agent approaches, model reduction and evolutionary computation for mechanical problems.
• Computational mechanics & numerical approaches
  Advanced numerical methods, finite element, meshfree and particle methods, partial differential equation solving, fluid mechanics and fluid-structure interaction.
• Multiscale & multiphysics mechanoinformatics
  Cross-scale modeling and simulation of materials and structures, as well as data-driven modeling for multi-field coupled mechanical systems.
• Material mechanoinformatics
  Mechanical behavior, performance prediction, inverse design and optimization of advanced materials, composite materials and intelligent/programmable materials.
• Structural mechanoinformatics
  Engineering structural analysis, structural optimization, topology optimization, stability research and composite structural mechanics.
• Intelligent engineering & digital technologies
  Digital twin, structural health monitoring, non-destructive evaluation, service reliability and life prediction of engineering structures.
• Applied mechanoinformatics
  Mechanoinformatics problems in advanced manufacturing, biomechanics, robotics, flexible devices and energy systems.