Results 181 to 190 of about 942,096 (280)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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 +3 more
wiley +1 more source
Entropy and topological indices of nanostar dendrimers: a graph-theoretic approach. [PDF]
Nawaz A, Bokhary SAUH, Imran M.
europepmc +1 more source
A chemically defined PEG‐based microgel platform enables scalable, reproducible production of three‐dimensional microgel‐iPSC constructs in multiple sizes. The system is compatible with high‐throughput automation and supports human iPSC expansion and differentiation within a single construct, including directed differentiation into cardiac organoids ...
Laura Klasen +8 more
wiley +1 more source
Transfer-Entropy- and Hawkes-Process-Driven Dynamic Measurement of Cross-Border Financial Risk Contagion in Directed, Weighted Networks. [PDF]
An L, Dai J.
europepmc +1 more source
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
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 +24 more
wiley +1 more source
Bacteria‐Trained, MnO2‐Armored Dendritic Cells for Immunotherapy
MnO2‐armored, bacteria‐trained dendritic cells undergo tumor‐responsive mechanical and immunological transformation. The nanocoating masks immune ligands and maintains a mechanically stiff, quiescent state during circulation, while the tumor microenvironment removes the armor and restores cellular deformability and immune accessibility.
Zhao Guo +9 more
wiley +1 more source
MRCER-DR: Multi-Representation Confidence Entropy Rejection for IoT Open-Set Intrusion Detection. [PDF]
Jin N, Zheng J, Xu Z, Li C, Yang J.
europepmc +1 more source
Biomass DNA: An Emerging Building Block for Advanced Materials
Biomass DNA is rapidly emerging from its traditional role as a genetic blueprint to serve as a versatile abundant, highly programmable polymeric building block. This review highlights the transformation of macroscopic bulk biomass DNA into next generation of functional materials, spanning from dynamic hydrogels, sustainable bioplastics, and high ...
Yuwei Hu, Itamar Willner, Li Niu
wiley +1 more source

