Topological Data Analysis (TDA) is an innovative framework that utilises principles from algebraic topology to extract intrinsic patterns and structural features from complex, multi‐dimensional data.

Topological Data Analysis (TDA) is an increasingly influential framework that leverages the principles of algebraic topology to extract, quantify and visualise the intrinsic structure of complex, high ...

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer review, eliminate borders between specialties by linking ...

The findings revealed four critical topological turning points in brain development: around the ages of nine, 32, 66, and 83. Each of these ages marks the transition into distinct epochs of ...

A collaborative research team led by Professor Pan Feng from the School of New Materials at Peking University Shenzhen Graduate School has developed a topology-based variational autoencoder framework ...

An international research team, led by DIPC and Princeton University, discovered that almost all materials in nature exhibit at least one topological state, contradicting the 40-year-old assumption ...

According to Nature.com, scientists identified four major topological turning points across a lifespan: around 9 years old, ...

Dendritic structures that emerge during the growth of thin films are a major obstacle in large-area fabrication, a key step towards commercialization. However, current methods of studying dendrites ...