Results 121 to 130 of about 10,388,998 (324)
Prof. George Whitesides’ pioneering contributions to the field of self-assembled monolayers (SAMs) have profoundly influenced biointerface science and beyond. This review explores the development of SAMs as highly organized molecular structures, focusing
Tomohiro Hayashi
doaj +1 more source
weSPOT: a cloud-based approach for personal and social inquiry [PDF]
Scientific inquiry is at the core of the curricula of schools and universities across Europe. weSPOT is a new European initiative proposing a cloud-based approach for personal and social inquiry. weSPOT aims at enabling students to create their mashups
Held, Paul +8 more
core +1 more source
This work establishes a pipeline that transforms fragmented literature into a structured database for graphitic carbon nitride photocatalyst discovery. A prompt‐engineered, cross‐model large language model ensemble automates high‐fidelity extraction, enabling interpretable machine learning to identify dominant performance descriptors. These data‐driven
Dianyuan Li +7 more
wiley +1 more source
An Interpretable XGBoost Framework for Predicting Oxide Glass Density
Accurately predicting glass density is crucial for designing novel materials. This study aims to develop a robust predictive model for the density of oxide glasses and, more importantly, to investigate how physically informed feature engineering can ...
Pawel Stoch
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Peroxidase‐Mimicking Nanozymes for Rapid Detection of Infectious Diseases
Peroxidase‐mimicking nanozymes (PMNs) have emerged as robust and versatile materials for rapid infectious disease diagnostics. This review highlights the rational design and controlled synthesis of PMNs, summarizes key biomarkers relevant to infectious diseases, examines their integration into diverse rapid detection platforms, and highlights ...
Shikuan Shao +5 more
wiley +1 more source
Field-Effect Crystal Engineering in Proton–π-Electron Correlated Systems
Dielectric crystals with switchable electric polarizations represent the key functional materials utilized for a broad range of practical applications.
Sachio Horiuchi +3 more
doaj +1 more source
Prediction and optimization of epoxy adhesive strength from a small dataset through active learning
Machine learning is emerging as a powerful tool for the discovery of novel high-performance functional materials. However, experimental datasets in the polymer-science field are typically limited and they are expensive to build. Their size (< 100 samples)
Sirawit Pruksawan +4 more
doaj +1 more source
Solid‐Like yet Reconfigurable 3D‐Printed Liquid Tubular Wires From Nonconductive Molecules
This work shatters the current reliance of liquid electronics on intrinsically conductive materials by introducing a novel interfacial redox strategy that transforms non‐conductive molecules into high‐performance, 3D liquid tubular wires with solid‐like electrical properties and exceptional reconfigurability. It opens a vast design space for all‐liquid
Yuchen Fu +6 more
wiley +1 more source
Prediction of hydrogel swelling states using machine learning methods
In the field of material informatics, artificial neural networks (ANNs) contribute to the investigation of the processing‐structure‐properties‐performance relationship of materials.
Yawen Wang +2 more
doaj +1 more source
LECITE: LoRA-Enhanced and Consistency-Guided Iterative Knowledge Graph Construction
Knowledge graphs (KGs) offer a structured and collaborative approach to integrating diverse knowledge from various domains. However, constructing knowledge graphs typically requires significant manual effort and heavily relies on pretrained models ...
Donghao Xiao, Quan Qian
doaj +1 more source

