Researchers have used artificial intelligence to predict dozens of previously unknown carbon crystal structures, including at ...

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, ...

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 ...

Computational methods are now a cornerstone in the study of fluid flow, heat transfer and mass transfer phenomena, underpinning modern simulations that inform both fundamental research and engineering ...

NASA’s Transformational Tools and Technologies project integrates AI, advanced materials, and computational methods to accelerate aerospace design and improve aircraft and space systems.

Andreas Pfenning discusses the techniques being developed and used to study neuronal heterogeneity and the therapeutic potential of his work.

Researchers from MIT’s Department of Biology have developed a new computational method called FragFold, which shows promise for advancing biological research and therapeutic applications. The newly ...

A new computational method can identify how cause-and-effect relationships ebb and flow over time in dynamic real-life systems such as the brain. The method was reported today in a Reviewed Preprint ...

A joint research team led by Yuuki Kubo and Shiji Tsuneyuki of the University of Tokyo has developed a new computational method that can efficiently determine the crystal structures of multiphase ...

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...

Researchers from Kyushu University have developed an innovative computational method, called ddHodge, that can reconstruct the complex dynamics of how cells decide their fate. As reported in Nature ...

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 ...