Results 211 to 220 of about 42,399 (264)

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Health opportunity inequality in middle-aged and older adult cardiovascular and cerebrovascular patients. [PDF]

Front Public Health
Hu G, Zhao H, Yu Z, Liu X.
europepmc   +1 more source

Why Physics Still Matters: Improving Machine Learning Prediction of Material Properties With Phonon‐Informed Datasets

Advanced Intelligent Discovery, EarlyView.
Phonons‐informed machine‐learning predictive models are propitious for reproducing thermal effects in computational materials science studies. Machine learning (ML) methods have become powerful tools for predicting material properties with near first‐principles accuracy and vastly reduced computational cost.
Pol Benítez, Cibrán López, Edgardo Saucedo, Teruyasu Mizoguchi, Claudio Cazorla   +4 more
wiley   +1 more source

Net release of CO₂ from thawing permafrost soil carbon predicted to occur earlier in this century. [PDF]

Sci Adv
Xi Y, Ciais P, Zhu D, Qiu C, Zhang Y, Peng S, Bowring SPK, Goll DS, Friedlingstein P, Hugelius G.   +9 more
europepmc   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

Advanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta, Madison Dautle, Shaoqiang Zhang, Yong Chen   +3 more
wiley   +1 more source

Predictive modeling for the mean diameter of carbon nanotubes produced by methane decomposition. [PDF]

Discov Nano
Almansour S, Alkwai LM, Yadav K, Zneid BA, Pashtun F.   +4 more
europepmc   +1 more source

Climate dominance gives way to litter chemistry during long-term Scots pine needle decomposition along a boreal-to-temperate climate gradient. [PDF]

BMC Plant Biol
Ge J, Berg B, Dong L, Sun T.
europepmc   +1 more source

<i>Streptomyces pallidus</i> sp. nov. and <i>Streptomyces qianjiangensis</i> sp. nov. isolated from the rhizosphere soil of <i>Cyclosorus acuminatus</i>. [PDF]

Front Microbiol
Mingjun K, Wenguang H, Ting T, Yaxi Z, Weijie C, Senwei S, Yanting C, Le Z, Ping M, Bailu T.   +9 more
europepmc   +1 more source

Wood chemical composition of forest management residues for bioenergy. [PDF]

Wood Sci Technol
Roy Proulx S, Thiffault É, Niño DJO, Canuel CM, Thiffault N, Landry V.   +5 more
europepmc   +1 more source

TF-DWGNet: a directed weighted graph neural network with tensor fusion for multi-omics cancer subtype classification. [PDF]

NAR Genom Bioinform
Yang T, Chen Z.
europepmc   +1 more source