The advancement of heterogeneous catalysis is limited by our understanding of the synergy between the different components of a reaction in progress. Multiscale modelling promises to address the need ...

A new study published in AI Materials presents a comprehensive multi-scale computational framework capable of predicting the mechanical responses of Fe–Cr–Al alloys while incorporating both ...

Crop modeling is essential for understanding how to secure the food supply as the planet adapts to climate change. Many current crop models focus on simulating crop growth and yield at the field scale ...

Multiscale modelling and control of thin film deposition processes encompass advanced simulation techniques that integrate phenomena occurring over disparate spatial and temporal scales. At the ...

Predicting how molecular changes affect the brain’s overall activity is a major challenge in neuroscience. Many deep questions about the brain can only be understood by looking at several layers of ...

Multiscale modeling has arisen as a focus of computational systems biology, with the realization that genome, proteome, connectome, etceteromes, will only become comprehensible once placed in the ...

Siemens announces that it has signed an agreement to acquire Culgi, a computational chemistry software company with a focus on multiscale simulations in the process industries. Culgi will join Siemens ...

Through an interdisciplinary collaboration with the Department of Statistics at the University of California at Davis, we are developing a novel statistical inferential framework for multi-resolution ...

Understand the underlying principles of molecular dynamics (equations of motion for atoms, atomic interactions). Gain proficiency in designing molecular dynamics simulations using available software ...

Patient (pt) experience with a smartphone application (app) and biosensor for remote symptom monitoring during systemic cancer therapy: Qualitative findings from initial testing. This is an ASCO ...