Frontiers in Molecular Evolution

Latest discoveries and methodological advances in phylogenetic analysis and genomic adaptation studies

Research Articles

Cracking the Crystal Code: Inside the 7th Blind Test That's Predicting Matter Itself

Explore the groundbreaking 7th Blind Test of Crystal Structure Prediction methods, where scientists are learning to predict nature's blueprints with startling accuracy.

Levi James
Nov 14, 2025

Crafting Tomorrow's Materials: How Electric Fields Are Revolutionizing Microstructure Engineering

Discover how electric fields are enabling precise control of material microstructures through grain boundary engineering, creating continuously graded materials with optimized properties.

Aaron Cooper
Nov 01, 2025

Machine Learning Bridges the Scales: The New Era of Smart Material Design

Explore how machine learning and multi-fidelity modeling are transforming materials science by bridging atomic and macroscopic scales.

Carter Jenkins
Oct 27, 2025

Do We Need All the Atoms? The Revolutionary Science of Multiscale Modeling

Exploring how multiscale modeling challenges traditional atomistic simulation approaches in materials science and biological systems.

Amelia Ward
Oct 24, 2025

The Invisible Cracks That Could Shatter Our Tech Future

How scientists are using petascale computing and multiscale modeling to predict material failures in microsystems and ensure technological reliability.

Julian Foster
Oct 09, 2025

The Hidden Blueprint: How Scientists Are Decoding the Molecular Secrets of Fibers

Explore the fascinating progress in fiber structure analysis techniques, from X-ray crystallography to computational models revolutionizing materials science.

Nora Murphy
Oct 03, 2025

From Plastics to Precision: The Rise of Macromolecular Engineering

Explore the evolution of polymer processing into macromolecular engineering, from controlled polymerization to AI-driven discovery and sustainable solutions.

Sebastian Cole
Oct 02, 2025

The Atom Whisperers: How AI Deciphers Chemistry's Deepest Secrets from Snapshots

Discover how unsupervised machine learning is revolutionizing atomic-scale materials science by decoding chemical transformation pathways from atomically-resolved imaging data.

Mia Campbell
Aug 08, 2025

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