Results 131 to 140 of about 935 (235)

Polymer informatics: Integrating data‐driven strategies, advanced machine learning, and automated synthesis for next‐generation polymer design

open access: yesInfoScience, EarlyView.
Designing new polymers for applications such as sustainable plastics, biomaterials, and 3D printing has traditionally been slow and expensive, relying heavily on trial‐and‐error experiments. This review shows how polymer informatics—the integration of large polymer databases, machine‐learning models, and automated robotic synthesis—enables fast ...
Md. Saiful Islam   +6 more
wiley   +1 more source

Structure‐Aware Machine Learning for Polymers: A Hierarchical Graph Network for Predicting Properties From Statistical Ensembles

open access: yesMacromolecular Rapid Communications, EarlyView.
This work presents a structure‐aware graph convolutional network that models polymers as statistical ensembles to predict macroscopic properties. By combining topologically realistic graphs generated via kinetic Monte Carlo simulations with explicit molar mass distributions, the framework achieves high accuracy in classifying architectures and ...
Julian Kimmig   +7 more
wiley   +1 more source

Lactate Dehydrogenase A and a Novel Four‐Gene Signature as Dual Diagnostic Markers for Lung Adenocarcinoma and Ischemic Stroke

open access: yesMedicine Advances, EarlyView.
This study identified shared molecular alterations between lung adenocarcinoma (LUAD) and ischemic stroke (IS) through integrative transcriptomic analysis of TCGA‐LUAD and GSE146882 datasets, revealing a four‐gene diagnostic signature (LDHA, NME4, SLC25A39, and SLC7A5) with high accuracy across both diseases. Among these, LDHA was further identified as
Jin Xie   +6 more
wiley   +1 more source

Auto-Derivation of Simplified Contracted Graphs with Quaternary Links and Re-Construction Contracted Graphs for Topology Synthesis of Parallel Manipulators

open access: yesMathematics
To address the complexity of constructing traditional topological contracted graphs due to the significant increase in the types and quantities of basic links during the synthesis of complex parallel mechanisms, this paper introduces a novel concept ...
Nijia Ye, Zhengwei Geng
doaj   +1 more source

AI/ML Enabled High‐Throughput Design and Synthesis for Energetic Molecules

open access: yesMaterials Genome Engineering Advances, EarlyView.
Novel design methods for a special kind of functional molecules — the energetic molecules—are summarized. Both classic Machine Learning (ML) and Artificial Intelligence (AI) generative models are utilized for the high‐throughput design of these energetic molecules, and a sort of high‐energy low‐sensitivity molecules are obtained.
Wen Qian
wiley   +1 more source

From AdS3/CFT2to black holes/topological strings [PDF]

open access: green, 2007
Davide Gaiotto   +2 more
openalex   +1 more source

QGeoSEP: A Novel Multi‐Task Learning Framework Integrating Quantum, Geometric, and Semantic Features for Collaborative Prediction of Multiple Properties With Potential Application to Energetic Materials

open access: yesMaterials Genome Engineering Advances, EarlyView.
We introduce QGeoSEP, a multi‐task learning framework for accurate energetic material property prediction, with competitive performance against mainstream baselines and an accessible online tool for efficient molecular evaluation. ABSTRACT Accurate physicochemical property prediction is critical for the rational design of energetic materials (EMs), yet
Mingchi Gao   +6 more
wiley   +1 more source

Weak Solutions for a Class of Nonlocal Singular Problems Over the Nehari Manifold

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT In this paper, we consider a nonlocal model of dilatant non‐Newtonian fluid with a Dirichlet boundary condition. By using the Nehari manifold and fibering map methods, we obtain the existence of at least two weak solutions, with sign information.
Zhenfeng Zhang   +2 more
wiley   +1 more source

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