Results 251 to 260 of about 783,181 (348)

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

Hybrid fuzzy C-means and deep learning framework for intelligent fault classification in solar PV systems. [PDF]

Front Artif Intell
Vignesh V, Senthil Kumar R, Suganeshwari G.   +2 more
europepmc   +1 more source

Integral bases, perfect matchings, and the Petersen graph [PDF]

Ahmad Abdi, Olha Silina
openalex   +1 more source

Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter

Advanced Intelligent Discovery, EarlyView.
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon, Dmitri Gavrilov, Peggy O’Day, Ajith Pattammattel   +3 more
wiley   +1 more source

Enumeration of Autocatalytic Subsystems in Large Chemical Reaction Networks. [PDF]

J Chem Theory Comput
Golnik R, Gatter T, Stadler PF, Vassena N.   +3 more
europepmc   +1 more source

Perfect difference graphs [PDF]

KM. Kathiresan, P. Naga Jothi, P. Gnanachandra   +2 more
openalex   +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

Comparative Evaluation of VisuALL Virtual Reality Perimetry and Humphrey Visual Field Testing in Glaucoma Patients. [PDF]

Clin Ophthalmol
Weng PJ, Asrani S, Wen JC.
europepmc   +1 more source

Perfect state transfer in Grover walks on normal Cayley graphs [PDF]

Koushik Bhakta, Bikash Bhattacharjya
openalex   +1 more source

MolMiner: Toward Controllable, Three‐Dimensional‐Aware, Fragment‐Based Molecular Design

Advanced Intelligent Discovery, EarlyView.
MolMiner is a fragment‐based, geometry‐aware, and order‐agnostic generative model for molecular design with strong inductive biases. Using symmetry‐aware fragment assembly, dynamic three‐dimensional geometry, and multi‐property conditioning, MolMiner enables interpretable and controllable molecular generation.
Raul Ortega‐Ochoa, Tejs Vegge, Jes Frellsen   +2 more
wiley   +1 more source