Molecular dynamics simulations are advancing the study of ribonucleic acid (RNA) and RNA‐conjugated molecules. These developments include improvements in force fields, long‐timescale dynamics, and coarse‐grained models, addressing limitations and refining methods.
Kanchan Yadav, Iksoo Jang, Jong Bum Lee
wiley +1 more source
A High-Precision Ionospheric Channel Estimation Method Based on Oblique Projection and Double-Space Decomposition. [PDF]
Wei Z, Guo B, Li Z, Zhou Q.
europepmc +1 more source
Beyond Order: Perspectives on Leveraging Machine Learning for Disordered Materials
This article explores how machine learning (ML) revolutionizes the study and design of disordered materials by uncovering hidden patterns, predicting properties, and optimizing multiscale structures. It highlights key advancements, including generative models, graph neural networks, and hybrid ML‐physics methods, addressing challenges like data ...
Hamidreza Yazdani Sarvestani +4 more
wiley +1 more source
Geographic-style maps with a local novelty distance help navigate in the materials space. [PDF]
Widdowson D, Kurlin V.
europepmc +1 more source
On metrics for subpopulation detection in single-cell and spatial omics data. [PDF]
Luo S +3 more
europepmc +1 more source
Determination of the latent geometry of atorvastatin pharmacokinetics by transfer entropy to identify bottlenecks. [PDF]
Lecca P, Re A.
europepmc +1 more source
Deep Metric Learning-Based Classification for Pavement Distress Images. [PDF]
Li Y, Wang J, Lü B, Yang H, Wu X.
europepmc +1 more source
Quantum metric third-order nonlinear Hall effect in a non-centrosymmetric ferromagnet. [PDF]
Yu H +6 more
europepmc +1 more source
MOSRS: An engineering multi-objective optimization through Einsteinian concept. [PDF]
Goodarzimehr V +2 more
europepmc +1 more source

