Results 61 to 70 of about 91,095 (298)
AI‐EXAFS: Physics‐Informed Prediction of EXAFS from Atomic Structure
AI‐EXAFS presents a neural network to reproduce EXAFS. Trained on synthetic data and with a careful selection of the settings both for the physical representation of the system and following the experimental heuristic loss functions, the model is capable of reproducing EXAFS spectra for molecules from the tridimensional structure.
Javier Heras‐Domingo +6 more
wiley +1 more source
Videos docentes Quimica general
Videos Docentes - Quimica General Alimentos - Recopilación de vídeos de Internet utilizados enla asignatura por parte de los ...
Aguado Bernal, Rafael
core
Fotografías de Jose Vicente Soler. Catedratico de Quimica Inorganica. Día 30 de enero del 2002
Jose Vicente Soler. Catedratico de Quimica Inorganica.
Urbina, Luis
core
Assays of cytotoxicity and mutagenicity as a tool for assessment of consumer exposed to textile dyes
Quimica Analitica, Instituto de Quimica, Araraquara ...
Urban, J. +14 more
core +1 more source
Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade +4 more
wiley +1 more source
The Quimica Nova Interativa (QNInt) portal was launched in 2009 by the Brazilian Chemical Society (SBQ) to offer free quality content for broad audiences.
Galembeck, E, Marson, GA, de Andrade, JB
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Enhancing Sensitivity across Scales with Highly Sensitive Hall Effect‐Based Auxetic Tactile Sensors
Herein, a tactile sensor based on hall‐effect sensors with an auxetic structure, called Hall effect‐based auxetic tactile sensor (HEATS), is proposed. The change in magnetism resulting from the deformation of the auxetic structure is utilized for sensing.
Youngheon Yun +6 more
wiley +1 more source
-Profesor Garcia de La Torre. Facultad Quimica UM
-Profesor Garcia de La Torre.
Urbina, Luis
core
A distributed wireless sensing framework enables noninvasive monitoring of plant salinity stress through leaf reflectance measurements acquired with portable optical sensors. The collected data are processed using TinyML‐based neural network models deployed at the edge, enabling accurate, real‐time, and low‐cost classification of salinity levels, while
Ali Ahmad +4 more
wiley +1 more source

