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Dynamic polymer networks (DPNs) from epoxidized soybean oil (ESO) that incorporate dual dynamic exchange reactions (dual-DERs) and hydroxyl-functionalized silica (HO-SiO2) reinforcement are shown to e...
The “solid-liquid” behavior of vitrimers have not been systematically investigated. Herein, a series of “solid-liquid” vitrimers bearing varying contents of dynamic boronic ester bonds were synthesize...
Bentonite?is a natural clay mineral with high cationic exchange properties and plays an important role in organic-inorganic composite hydrogels. We report an organic-inorganic cross-linked self-healin...
图神经网络(Graph Neural Network,GNN)是指使用神经网络来学习图结构数据,提取和发掘图结构数据中的特征和模式,满足聚类、分类、预测、分割、生成等图学习任务需求的算法总称。如何从图数据(网络数据)中学习有效的数据表征是大数据与人工智能时代的一大挑战。为此,本次汇报将从一种特殊的谱图神经网络(图卷积神经网络)出发,介绍相应的消息传递范式,揭示传统机器学习和图神经网络的内在关联,并...
Creating polymers that exhibit a switchable thermal conductivity requires a fundamental understanding of how polymer structure and inter- and intramolecular interactions influence thermal transport. T...
Materials based on fiber-reinforced coating have gained increasing attention due to their environmental and industrial application tracks. Polyvinyl alcohol (PVA) composites with interpenetrating cros...
近日,实验室2021级博士研究生刘婧逸的学术论文《SNR: Symbolic Network-based Rectifiable Learning Framework for Symbolic Regression》被人工智能顶级期刊Neural Networks录用。《Neural Networks》是世界上三个最古老的神经建模学会的档案期刊:国际神经网络学会(INNS)、欧洲神经网络学会(EN...
A new nitrogen-rich microporous polymer (PAN-FPP5) containing pillar[5]arene macrocycles was fabricated via facile polycondensation between pillar[5]arene-based monomer (FPP5) bearing two aldehyde moi...
TWo significant forms of energy widely used in chemical industries are heat and work related to temperature and pressure manipulation. Since complex relationship exists in these strongly interacting p...
A multiobjective optimization (MOO) framework considering the dual objectives of the economy and the environment is presented in this work for the extended integration of interplant heat exchanger net...
Cornell researchers have developed an optical neural network (ONN) that can filter relevant information from a scene before the visual image is detected by a camera, a method that may make it possible...
In the vast, expansive skies where birds once ruled supreme, a new crop of aviators is taking flight. These pioneers of the air are not living creatures, but rather a product of deliberate innovation:...
Parameter estimation or filtering is one of the important issues in diverse fields including statistical learning, signal processing, system identification and adaptive control. With the development o...
Neural networks, a type of machine-learning model, are being used to help humans complete a wide variety of tasks, from predicting if someone’s credit score is high enough to qualify for a loan to dia...
When two spacecrafts need to bridge a connection in orbit they dock. This means the onboard computers controlling their thrusters need unfettered communication between one another that cannot be disru...

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