Results 211 to 220 of about 6,879 (260)

Model Arrhenius untuk Pendugaan Laju Respirasi Brokoli Terolah Minimal

, 2016
Nurul Imamah, Rokhani Hasbullah, Lilik Pujantoro Eko Nugroho   +2 more
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The Arrhenius sarcophagus (base)

Scan-the-World
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Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

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

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

Anti-Arrhenius passage of gaseous molecules through nanoporous two-dimensional membranes

Petr Dementyev, Armin Gölzhäuser
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Non-Arrhenius Transport Properties of Glass-Forming Materials in a Wide Temperature Range: A Systematic Study Based on the BSCNF Model

Masahiro Ikeda, Masaru Aniya
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Linear Viscoelasticity of Polystyrene Vitrimers: Segmental Motions and The Slow Arrhenius Process

Daniel Barzycki, Dana Ezzeddine, Sachin Shanbhag, Ralm G. Ricarte   +3 more
openalex   +1 more source

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Extending the compensated Arrhenius formalism to concentrated alcohol electrolytes: Arrhenius vs. non-Arrhenius behavior

Electrochimica Acta, 2011
The compensated Arrhenius formalism is applied to ionic conductivities in alcohol-based electrolytes at concentrations where the salt makes a non-negligible contribution to the static dielectric constant of the solution. The temperature-dependent behavior of the conductivity depends on the amount of added salt.
Matt Petrowsky, Matthew B Johnson, Roger Frech   +2 more
exaly   +2 more sources

Arrhenius and Global Warming

Science, 1996
The Swedish scientist Svante Arrhenius was the first to link changes in atmospheric carbon dioxide with changes in climate. In her Perspective, Uppenbrink marks the 100th anniversary of the publication of Arrhenius's paper on climate change.
openaire   +1 more source