Meshfree methods have emerged as a powerful alternative to traditional finite element approaches by eliminating the reliance on fixed meshes for domain discretisation. These techniques, which include ...

Organized by Scientific Explore Publications and coordinated from Madurai, Tamil Nadu, ICCMMAS 2025 featured technical ...

Researchers at The Hong Kong University of Science and Technology (HKUST) School of Engineering have developed a novel reinforcement learning–based generative model to predict neural signals, creating ...

Computational Chemistry is the study of complex chemical problems using a combination of computer simulations, chemistry theory and information science. Also called cheminformatics, this field enables ...

A computational method for finding transition states in chemical reactions, greatly reducing computational costs with high reliability, has been devised. Compared to the most widely used existing ...

A paper published in Biology Methods and Protocols, indicates that a new computational method may help researchers identify ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic sequences. By automating feature extraction and capturing long ...

A team of physicists has developed a groundbreaking method for detecting congestive heart failure with greater ease and precision than previously thought possible. This multidisciplinary study, ...

Researchers propose a computational method to reveal the hidden timing structure of live performance. Vanessa C. Pope and colleagues present a framework, called Topology Analysis of Matching Sequences ...

An Anglo-American team of researchers has devised a new computational method for quantifying Epstein-Barr virus (EBV) ...