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 ...

Researchers have reported a sample-prior-based approach to point spread function decoupling that improves system ...

Researchers from Kyushu University have developed an innovative computational method, called ddHodge, that can reconstruct ...

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 ...

The new method can determine crystal structures underlying experimental data thus far difficult to analyze. A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has ...

Computational fluorescence microscopy (CFM) requires accurate point spread function (PSF) characterization for high-quality ...

Simulate the processes required to develop specific materials microstructures and properties. Develop skills and competencies in computational modeling and simulation. Simulate microstructural ...

Ph.D. student Lena Dubinsky and Prof. Leore Grosman from the Computational Archaeology Laboratory at the Hebrew University's Institute of Archaeology have pioneered a new method to study rock ...

Large language models are powering a new generation of AI agents that could transform computational chemistry from a ...

Artificial intelligence (AI) is increasingly transforming computational mechanics, yet many AI-driven models remain limited by poor interpretability, weak generalization, and insufficient physical ...

Our CSM research includes static and dynamic analyses of complex solid bodies using computational approaches such as finite volume, finite element, discrete element, and meshless methods. The focus of ...