Results 181 to 190 of about 41,523 (260)
Harnessing Machine Learning to Understand and Design Disordered Solids
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
Finding low-complexity DNA sequences with longdust. [PDF]
Li H, Li B.
europepmc +1 more source
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 +1 more
wiley +1 more source
No strings attached: a mixed methods evaluation of the acceptability of the San Francisco Abundant Birth Project, a perinatal guaranteed income program. [PDF]
De La Cruz MM +15 more
europepmc +1 more source
Automated Discovery of Multicellular Behavior for Optimized Plant Growth and Climate Resilience
An automated robotic system is described for rapid scientific experimentation with multicellular organisms. By enhancing a robotic liquid handler with a custom developed deep learning algorithm and camera module, samples and data are prepared with minimal human intervention.
Mark A. DeAngelis +2 more
wiley +1 more source
Text-mined dataset of solid-state syntheses with impurity phases using Large Language Model. [PDF]
Lee S +4 more
europepmc +1 more source
Large‐scale Hopfield neural networks (HNNs) for associative computing are implemented using vertical NAND (VNAND) flash memory. The proposed VNAND HNN with the asynchronous update scenario achieve robust image restoration performance despite fabrication variations, while significantly reducing chip area (≈117× smaller than resistive random‐access ...
Jin Ho Chang +4 more
wiley +1 more source
Bureaucracy, happiness, and satisfaction at work. [PDF]
Tu J, Hill SJ.
europepmc +1 more source
CAUIM: Amazonian Cassava‐Based Programmable Biocolloid
Bridging indigenous heritage and computation, this work introduces the usage of cauim, a traditional Amazonian cassava fermented beverage, as a programmable memristive‐like substrate and resistance switching. The material exhibits frequency‐dependent dynamics enabling reconfigurable Boolean logic operations.
Raphael Fortulan +5 more
wiley +1 more source
MGF-DTA: A Multi-Granularity Fusion Model for Drug-Target Binding Affinity Prediction. [PDF]
Ni Z, Wei B, Zeng Y.
europepmc +1 more source

