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 ...

Gain insight into fluid dynamics through numerical simulation. Go beyond theoretical analysis and experimental measurements with the power of reliable computational fluid dynamics (CFD) and heat ...

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

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 ...

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

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

Technological advances in the past 15 years have revolutionized biological sciences, as they have allowed large-scale simulations and high-throughput experiments throughout the tree of life.

Develop advanced skills in computational social science, putting them into practice in an original research project. You'll learn to rigorously and creatively apply computational methods to social ...

Taken concurrently with EGR/MAT/PHY 191. An integrated course that covers the material of PHY 103 and MAT 201 with the emphasis on applications to engineering. Math topics include: vector calculus; ...

Computational mechanics research at Northwestern is blazing new ground in multiscale analysis, meshfree methods and large-scale simulation. Multiscale methods, which link methodologies from quantum ...