Results 231 to 240 of about 7,041,985 (308)

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

Microgels Enable iPSCs to Assemble, Expand, and Differentiate Into Organoids—From Sizable to High‐Throughput

Advanced Materials, EarlyView.
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, Matthias Mork, Ramin Nasehi, Vasudha Turuvekere Krishnamurthy, Kira Zeevaert, Aaron Babendreyer, Jacopo Di Russo, Wolfgang Wagner, Laura De Laporte   +8 more
wiley   +1 more source

From graph theory to chemoinformatics: modified bond-based indices and a hypothesis-driven multi-task QSAR/QSPR benchmark. [PDF]

Sci Rep
Altairi A, Alhaj Z, Alsharafi M, Zeren Y.   +3 more
europepmc   +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

Neurobiologically informed graph theory analysis of the language system. [PDF]

Netw Neurosci
Morishima Y, van den Heuvel M, Strik W, Dierks T.   +3 more
europepmc   +1 more source

Thickness‐Defined Transport Regime Toward Near‐Ideal Area‐Type Switching

Advanced Materials, EarlyView.
By thinning the oxide layer, memristors pass from diode‐like and battery‐effect‐dominated behavior toward eventual short‐circuit failure. Within the intermediate 5–6 nm window, they reach a near‐ideal analog area‐type switching regime, featuring symmetric hysteresis, area‐dependent conductance, and continuous linear programming of HRS and LRS with ...
Cuo Wu, Junjie Zhao, Richard Schroedter, Jason Vincent, Hampus Hoffman, Leif Riemenschneider, Abdallh Herbawe, Hao Shen, Ronald Tetzlaff, Stefan Slesazeck, Gianaurelio Cuniberti, Thomas Mikolajick, Benjamin Max   +12 more
wiley   +1 more source

Enhancing security in electromagnetic radiation therapy using fuzzy graph theory. [PDF]

Sci Rep
Lal R, Singh RK, Nishad DK, Khalid S.
europepmc   +1 more source

Bacteria‐Trained, MnO2‐Armored Dendritic Cells for Immunotherapy

Advanced Materials, EarlyView.
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, Min Ge, Zesong Ruan, Tingwang Shi, Mahyar Mahmoudi, Soohwan An, Na Kong, Yunfeng Chen, Han Lin, Wei Tao   +9 more
wiley   +1 more source

Optimizing solar farm interconnection networks using graph theory and metaheuristic algorithms with economic and reliability analysis. [PDF]

Sci Rep
Ghias-Nodoushan A, Sedighi-Anaraki A, Jannesar MR, Saeedi-Sourck H.   +3 more
europepmc   +1 more source