Page 2: Research news on Numerical techniques

Numerical techniques are computational methods for approximating solutions to mathematical problems that lack closed-form expressions or are analytically intractable. They encompass algorithms for root finding, numerical integration and differentiation, solution of linear and nonlinear systems, eigenvalue problems, optimization, and numerical solution of ordinary and partial differential equations. These techniques rely on discretization, iteration, and error analysis, with careful attention to stability, convergence, conditioning, and computational complexity. They are implemented using floating-point arithmetic and often exploit matrix factorizations, interpolation, finite difference, finite element, or spectral methods to achieve controllable accuracy within specified tolerances.

Intermediate phases unlock faster nanoparticle crystallization

Crystalline nanomaterials are valuable because their highly ordered structures give them useful properties for technologies such as data storage and optical devices. But forming nanoparticles from those orderly crystals is ...

Letting atomic simulations learn from phase diagrams

A new computational method allows modern atomic models to learn from experimental thermodynamic data, according to a University of Michigan Engineering and Université Paris-Saclay study published in Nature Communications. ...

High-performance cell atlas workflow driven by manifold fitting

Researchers from the National University of Singapore (NUS) have developed CellScope, a high-performance single-cell analysis framework that uses manifold fitting to analyze single-cell RNA sequencing (scRNA-seq) data. This ...

A robust new telecom qubit identified in silicon

Quantum technologies are anticipated to transform computing, communication, and sensing by harnessing the unusual behavior of matter at the atomic scale. Translating quantum's promise into practical devices will require physical ...

Teaching machines to design molecular switches

In biology, many RNA molecules act as sophisticated microscopic machines. Among them, riboswitches function as tiny biological sensors, changing their 3D shape upon binding to a specific metabolite. This shape-change acts ...

AI makes quantum field theories computable

An old puzzle in particle physics has been solved: How can quantum field theories be best formulated on a lattice to optimally simulate them on a computer? The answer comes from AI.

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