In a recent article, researchers from the University of Jyväskylä, Finland, emphasize the importance of multiscale modeling of catalysis in understanding and developing (electro)chemical processes.

Theory, computation, and simulation are foundational to modern energy research. Theoretical understanding reveals why materials and systems behave as they do, predicting performance before experiments ...

The rapid ascent of large-scale artificial intelligence has provided neuroscience with a new set of powerful tools for modeling complex cognitive functions.

This work reviews CM-cfDNA methods applied to clinical oncology, emphasizing both machine learning (ML) techniques and mechanistic approaches. The latter integrate biological principles, enabling a ...

Computational modeling of skeletal muscle mechanics integrates advanced numerical methods with experimental data to simulate the complex behaviours of muscle tissue. These models, often employing ...

The National Academies will convene a committee to organize a workshop on navigating the benefits and biosecurity risks of communicating studies involving the use of computational modeling and ...

Supercomputer simulations suggest tectonic cracks preceded Yellowstone's magma movement ...

AI-driven advanced manufacturing firm Sindan is working with LEAP 71 to develop aerospace systems designed by computational models. The two companies, both operating out of the United Arab Emirates, ...

Disturbances to the gut microbiome contribute to health conditions like inflammatory bowel disease (IBD). To better understand how those microbes interact with each other and their environment, ...

A more predictive, preventive approach to medicine can enable more accurate population-level risk assessments and predictions ...