The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...

As DRAM technologies scale to increasingly tighter pitches, the patterning requirements exceed the limits of conventional ...

From crystallographers' beards to billion-dollar lawsuits, the phenomenon of disappearing polymorphs has puzzled chemists for decades. Now researchers are finally unravelling the science behind why st ...

A groundbreaking study in genetics education examines the relationship between the quality of genetics education and the ...

Objectives We use new data and robust methods to estimate mortality levels and trends for US states and Washington DC and ...

Visualization, Dimensionality Reduction, Reproducibility, Stability, Multivariate Quantum Data, Information Retrieval ...

Gold Project, Canada Latest assays include 70.8m @ 4.0% CuEq including 19.2m @ 7.5% CuEq ; These exceptional results will help underpin a further increase to M&I Resource estimate and economic studies ...

RT-MALS can provide instantaneous measurements of adenovirus particle size and titer during downstream and fill–finish ...

Protocol fidelity and transparency about changes are essential to the credibility of randomised controlled trials In recent ...

With a bandgap of just over 6 eV, AlN promises to provide ground-breaking power-electronic devices. But its success is ...

Stanford's 2026 AI Index covers 400+ pages of data. Here's what search professionals should take from the adoption numbers, ...

Astronomers working with decades of radio telescope data have identified what they describe as the first close pair of ...