Journal of Computation and Artificial Intelligence in Mechanics and Biomechanics (JCAIMB) is a scholarly online peer review FREE open access journal published quarterly by "Publicações ISEP".

 

The open-access is sponsored by "Publicações ISEP". All manuscripts are automatically Open Access and there are no submission charges. 

 

 

JCAIMB narrows its focus to the computational simulations of structural mechanics and biomechanics using several degrees of artificial intelligence, aiming also to publish works dealing with the application, development, revision or enhancement of mesh-based (finite element method, boundary element method, virtual element method, etc.), particle and meshfree/meshless methods.

 

JCAIMB aims to inspire young researchers and academics engaged in computational mechanics and biomechanics research activities.

 

JCAIMB is committed to publish only quality works, which are reviewed by experts in related field. Thus, JCAIMB aims to publish quality original research works, following the scientific method of scholarly value in computational mechanics and biomechanics combined with several degrees of artificial intelligence, whose formulations and applications are properly demonstrated and validated. Nevertheless, innovative applications using commercial software packages are encouraged, as well as original and up-to-date revision manuscripts.

 

 

JCAIMB is interested in the following areas of mechanics and biomechanics combined with some degree of artificial intelligence:
- Numerical methods development in solid, fluid mechanics and materials simulations
- Computational applications in biomechanics in medicine
- Computational applications in mechanics in structures
- Simulations of nonlinear structural phenomena, such as multiphysics, fracture mechanics, multiscale mechanics, topological optimization, dynamic analysis, large deformations, material non-linearity (plasticity, damage, hyper-elasticity, etc.)
- Development, revision or enhancement of mesh-based (FEM, BEM, VEM), particle and meshfree/meshless methods
- Computational mechanobiology and simulations of cell mechanics and mechanotransduction
- Hemodynamics and biofluids
- Modelling, design and assessment of medical devices and implants
- Dental biomechanics (computational design of prostheses and analysis of dental tissues)
- Machine and deep learning for simulating structural and biological behaviours
- Pattern recognition and neural network algorithms combined with computational mechanics and biomechanics.