Results 21 to 30 of about 25,447,146 (290)

Chemical element transport in stellar evolution models [PDF]

open access: yesRoyal Society Open Science, 2017
Stellar evolution computations provide the foundation of several methods applied to study the evolutionary properties of stars and stellar populations, both Galactic and extragalactic.
Maurizio Salaris, Santi Cassisi
doaj   +1 more source

Toward Stable, General Machine‐Learned Models of the Atmospheric Chemical System

open access: yesJournal of Geophysical Research: Atmospheres, 2020
Atmospheric chemistry models—components in models that simulate air pollution and climate change—are computationally expensive. Previous studies have shown that machine‐learned atmospheric chemical solvers can be orders of magnitude faster than ...
Makoto M. Kelp   +4 more
semanticscholar   +1 more source

Active Colloids as Models, Materials, and Machines.

open access: yesAnnual Review of Chemical and Biomolecular Engineering, 2023
Active colloids use energy input at the particle level to propel persistent motion and direct dynamic assemblies. We consider three types of colloids animated by chemical reactions, time-varying magnetic fields, and electric currents.
K. Bishop, S. Biswal, B. Bharti
semanticscholar   +1 more source

Modification of N-terminal α-amine of proteins via biomimetic ortho-quinone-mediated oxidation

open access: yesNature Communications, 2021
Methods for selective modification of the N-terminus of proteins are of high interest, but mostly require specific amino acid residues. Here, the authors report a selective and fast method for N-terminal modification of proteins based on quinone-mediated
Siyao Wang   +8 more
doaj   +1 more source

Regional Estimates of Chemical Composition of Fine Particulate Matter Using a Combined Geoscience-Statistical Method with Information from Satellites, Models, and Monitors.

open access: yesEnvironmental Science and Technology, 2019
An accurate fine-resolution surface of the chemical composition of fine particulate matter (PM2.5) would offer valuable information for epidemiological studies and health impact assessments.
A. van Donkelaar   +3 more
semanticscholar   +1 more source

Comparative Study of Deep Generative Models on Chemical Space Coverage

open access: yesJournal of Chemical Information and Modeling, 2020
In recent years, deep molecular generative models have emerged as promising methods for de novo molecular design. Thanks to the rapid advance of deep learning techniques, deep learning architectures such as recurrent neural networks, variational ...
J. Zhang   +3 more
semanticscholar   +1 more source

Conceitos de química dos ingressantes nos cursos de graduação do Instituto de Química da Universidade de São Paulo Chemistry concepts held by freshmen students of the Institute of Chemistry, University of São Paulo

open access: yesQuímica Nova, 2008
A diagnostic instrument was developed to evaluate the basic chemistry concepts held by freshmen students of the three Chemistry undergraduate courses offered by the University of São Paulo.
Carmen Fernandez   +3 more
doaj   +1 more source

Deep Learning Based Regression and Multiclass Models for Acute Oral Toxicity Prediction with Automatic Chemical Feature Extraction [PDF]

open access: yesJournal of Chemical Information and Modeling, 2017
Median lethal death, LD50, is a general indicator of compound acute oral toxicity (AOT). Various in silico methods were developed for AOT prediction to reduce costs and time.
Youjun Xu, Jianfeng Pei, L. Lai
semanticscholar   +1 more source

Exploring chemical space — Generative models and their evaluation

open access: yesArtificial Intelligence in the Life Sciences, 2023
Recent advances in the field of artificial intelligence, specifically regarding deep learning methods, have invigorated research into novel ways for the exploration of chemical space.
Martin Vogt
doaj   +1 more source

Review and performance comparison of mechanical-chemical degradation models for lithium-ion batteries

open access: yesJournal of the Electrochemical Society, 2019
The maximum energy that lithium-ion batteries can store decreases as they are used because of various irreversible degradation mechanisms. Many models of degradation have been proposed in the literature, sometimes with a small experimental data set for ...
Jorn M. Reniers, D. Howey, G. Mulder
semanticscholar   +1 more source

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