Advancing understanding in biological systems increasingly depends on the ability to rigorously connect subcellular and molecular processes with tissue- and ...
Morning Overview on MSN
Physics-trained AI models speed engineering design and simulations
When engineers at Sumitomo Riko needed to speed up the design cycle for automotive rubber and polymer components, they turned ...
Breast cancer remains a leading cause of mortality among women worldwide, and accurate tumor segmentation in DCE-MRI is critical for diagnosis ...
Together with colleagues from Heidelberg University and Karlsruhe Institute of Technology (KIT), HITS researchers are addressing challenges in the simulation of biomolecules and molecular materials by ...
Topics ranging from immune responses in the heart in atherosclerosis to epistemologies of the divine in ancient Israel / Approximately €65.7 million for the initial funding period.
Predicting an epidemic’s course requires understanding how pathogen biology and human behavior independently shape transmission. While these scales are inextricably connected, traditional ...
Printed smart materials, particularly metals and ceramics, demand intensive multiscale modeling to accurately describe their behavior. The figure below illustrates a typical microstructure of a ...
To unravel the mysteries of materials at all scales, from quantum phenomena to microstructure, empowering the design of revolutionary materials and processes for an abundant and affordable energy ...
Abstract: In this letter, a hybrid element-level and subdomain-level discontinuous Galerkin time-domain (DGTD) method is proposed for efficient modeling of multiscale electromagnetic problems. Based ...
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 ...
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