Results 221 to 230 of about 166,225,520 (254)

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Constructing a lower-bound estimate of the global number of insect species on a hyperdiverse empirical foundation. [PDF]

Proc Natl Acad Sci U S A
Colwell RK, Guzman LM, Steinke D, Chao A, Janzen DH, Hallwachs W, Baker A, Fernández-Triana JL, Hebert PDN, Joyce F, Puschendorf R, Quicke DLJ, Rougerie R, Smith MA, Zamora N, Sharkey MJ.   +15 more
europepmc   +1 more source

Deep Learning–Based Extraction of Promising Material Groups and Common Features from High‐Dimensional Data: A Case of Optical Spectra of Inorganic Crystals

Advanced Intelligent Discovery, EarlyView.
We report a novel interpretation method for deep learning models based on feature extraction and clustering. Applying this method to an atomistic line graph neural network (ALIGNN) model trained on optical absorption spectra of 2,681 inorganic compounds obtained from first‐principles calculations, we successfully identify key factors underlying ...
Akira Takahashi, Yu Kumagai, Arata Takamatsu, Fumiyasu Oba   +3 more
wiley   +1 more source

Genomic analysis of Salehabad virus obtained from the field after a 64-year silence. [PDF]

Arch Virol
Kobayashi D, Yetismis K, Arserim SK, Pekagirbas M, Itokawa K, Isawa H, Toz S, Ozbel Y, Sanjoba C, Kasai S.   +9 more
europepmc   +1 more source

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source

Whole-genome characterisation of high-risk ST131 and the emerging ST1193 UPEC lineages in Romanian patients with recurrent urinary tract infections. [PDF]

Front Microbiol
Popa LI, Dinu S, Cristea D, Ghiță A, Ionescu G, Oprea M.   +5 more
europepmc   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

Climate Change Projected to Increase Rates of Background Tree Mortality Across Eastern North America. [PDF]

Glob Chang Biol
Wang J, Taylor AR, Bouchard M, D'Orangeville L.   +3 more
europepmc   +1 more source

Genetic Variation and Evolutionary Characteristics of Coxsackievirus B1: F3 Subtype Associated With Hand, Foot and Mouth Disease in China. [PDF]

J Med Virol
Lin J, Lin X, Yang Q, Ji T, Xiao J, Zhu S, Wang D, Li X, Zhu H, Sun Q, Zhu C, Gao S, Xu Y, Zhang Y, Yan D.   +14 more
europepmc   +1 more source

Pre-pandemic contraction, phase-specific rate variation, and site-specific antigenic adaptation shape influenza A(H3N2) evolutionary dynamics in Hubei, China. [PDF]

J Virol
Peng M, Liu L, Li X, Yu X, Yin Q, Zhang X, Han S, Fang B.   +7 more
europepmc   +1 more source