Results 141 to 150 of about 8,023,305 (265)

32nd International Conference on Software Engineering and Knowledge Engineering (SEKE 2020)

, 2020
Online job boards become one of the central components of the modern recruitment industry. Existing systems are mainly focused on content analysis of resumes and job descriptions, so they heavily rely on the accuracy of semantic analysis and the coverage
Shi, Kaize, Niu, Zhendong, Wang, Yusen
core  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

How “Green” is Your Functional Material? Assessing Environmental Impacts of Multi‐Step Synthetic Protocols in Material Sciences at Various Technology Levels

Advanced Materials, EarlyView.
Environmental Synthesis Radar (ESR) evaluates the environmental impact of (early‐stage) multi‐step chemical syntheses, providing a holistic view by using 18 midpoint impact categories. Unlike conventional life‐cycle assessment (LCA) approaches, ESR reveals three complementary metrics: overall impact Vtotal, environmental hotspots VEF, and critical ...
Laura Plein, Alexander Schommer, Florian Dietrich, Moritz Gutsch, Heike Klesper, Kevin Schuller, Lars Jahnke, Jens Leker, Klaus Meerholz   +8 more
wiley   +1 more source

Explaining the structure of inter-organizational networks using exponential random graph models: does proximity matter? [PDF]

A key question raised in recent years is which factors determine the structure of inter-organizational networks. While the focus has primarily been on different forms of proximity between organizations, which are determinants at the dyad level, recently ...
Tom Broekel, Matte Hartog
core  

Inverse Design of Nanoparticulate Materials

Advanced Materials, EarlyView.
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré, Annika Mauch, Michelle Berthold, Lukas Pflug, Wolfgang Peukert, Nicolas Vogel   +5 more
wiley   +1 more source

Modification and completion of geological structure knowledge graph based on pattern matching

Scientific Reports
As a knowledge representation method, knowledge graph is widely used in intelligent question answering systems and recommendation systems. At present, the research on knowledge graph mainly focuses on information query and retrieval based on knowledge ...
Cai Lu, Xinran Xu, Bingbin Zhang
doaj   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Usage of Graph Patterns for Knowledge Assessment Based on Concept Maps

The paper discusses application of concepts maps (CMs) for knowledge assessment. CMs are graphs which nodes represent concepts and arcs represent relationships between them.
Grundspeņķis, Jānis, Strautmane, Maija   +1 more
core  

Amphiphilic Non‐Isocyanate Polyurethane Coatings With Tunable Antifouling and Fouling‐Release Performance: A Log‐Ratio Assessment Framework

Advanced Materials Interfaces, EarlyView.
Amphiphilic non‐isocyanate polyurethane (NIPU) coatings containing reactive hydrophobic poly(dimethylsiloxane) (PDMS) and hydrophilic methoxy poly(ethylene glycol) (MPEG) prepolymers for marine antifouling (AF) and fouling‐release (FR) applications were investigated. The coatings were evaluated with a set of representative marine foulants.
Nastaran Shahzadeh, Shane J. Stafslien, Lyndsi J. VanderWal, John A. Finlay, Peter Allen, Anthony S. Clare, Ivan Hevus, Dean C. Webster   +7 more
wiley   +1 more source

Dynamic Fluorescence Modulation via Light‐Driven Competitive Protonation

Advanced Optical Materials, EarlyView.
A two‐component molecular system demonstrates reversible, light‐driven fluorescence write–erase cycling and thermal imaging. Illumination of a merocyanine photoacid transfers a proton to a highly efficient fluorescent pyridinium dye, switching its emission color; thermal relaxation reverses the process in the dark.
Serena X. Liu, Moritz E. Kleybolte, Colin van Dyck, Sergey I. Vagin, Preeti Gahtori, Antonio Scarpati, Razieh Firouzihaji, Diogo A. Galico, Ulrich S. Schubert, Julianne Gibbs, Alkiviathes Meldrum   +10 more
wiley   +1 more source