Results 221 to 230 of about 7,766,584 (280)

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

The turbulent brain: Modeling vortex interactions for understanding human cognition. [PDF]

Netw Neurosci
Deco G, Sanz Perl Y, Feng J, Kringelbach ML.   +3 more
europepmc   +1 more source

Trions as Fundamental Species in Chemically Doped Polymer Semiconductors

Advanced Materials, EarlyView.
This work shows that exciton–charge carrier coupling in doped polymer semiconductors gives rise to multi‐particle states, including trions—quasiparticles consisting of two holes and one electron under p‐doping—and bound exciton‐hole pairs, as identified through spectroscopic and theoretical analysis.
Hongmo Li, Henry J. Kantrow, David A. Valverde‐Chávez, Meghan McNeil, Arianna Magni, Mohammad Balooch Qarai, Jude Kpare, Jaden Cramlet, Qiao He, Félix Thouin, Zhihao Feng, Yadong Zhang, Andrew Comstock, Stephen Barlow, Jason Azoulay, Seung Soon Jang, Renaud Demadrille, Martin Heeney, Seth Marder, Nicholas J. Hestand, Alberto Salleo, Frank C. Spano, Carlos Silva‐Acuña, Natalie Stingelin   +23 more
wiley   +1 more source

Super greedy trees. [PDF]

Artif Intell Rev
Ishwaran H.
europepmc   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Machine learning-based QSPR modeling for predicting the <i>n</i>-octanol/air partition coefficient of polybrominated diphenyl ethers. [PDF]

iScience
Wu W, Chen H, Liu Z, Yan W, Wu D, Chen J, Liu J, Xing Z.   +7 more
europepmc   +1 more source

Rational Tuning of Hygroscopic Oscillation of Stacked Nanoflake Assemblies for Continuous Ambient Energy Harvesting

Advanced Materials, EarlyView.
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang, Jimin Fu, Gesa Zhang, Zhihua Liang, Boxun Zhang, Haimin Yao   +5 more
wiley   +1 more source

Enterprise service user intent prediction based on fast K-means++ fusion algorithm. [PDF]

PLoS One
Han Y, Zhai J, Li P.
europepmc   +1 more source

Angstrom‐Scale Confined Ion Sieve and Accelerator for Efficient Aqueous Zinc Batteries

Advanced Materials, EarlyView.
An angstrom‐scale confined ion accelerator strategy is proposed for ultra‐stable aqueous Zn anodes. Selective and precise transport of hydrated Zn(H2O)62+, Zn2+ cations, H2O molecules, and SO42− anions is achieved by in‐plane atomic Ti vacancies and angstrom‐scale interlayer free spacing within the Ti0.87O2 interfacial layer, leading to homogeneous Zn ...
Xing Peng, Caichao Ye, Yingqiang Li, Zhihang Liu, Kunxi Luan, Jinbo Fan, Honglan Huang, Chao Liu, Na Shen, Zhen Hou, Wenyao Zhang, Yongsheng Fu, Mingzhe Chen, Linfeng Hu, Pan Xiong, Guoxiu Wang, Junwu Zhu   +16 more
wiley   +1 more source

Computer Simulations Show That Liquid-Liquid Phase Separation Enhances Self-Assembly. [PDF]

ACS Nano
Frechette LB, Sundararajan N, Caballero F, Trubiano A, Hagan MF.   +4 more
europepmc   +1 more source