Results 171 to 180 of about 6,808,722 (274)

Multimodal characterization of male drivers' affect-relevant and workload-related responses in extra-long tunnel driving. [PDF]

Front Psychol
Kang H, He S, Chen W, Chen Z, Yi K, Wang J, Xu C.   +6 more
europepmc   +1 more source

Ionic Cocrystal Programming of Spatial Ionic Organization in Carbon Nitrides Enables Highly Efficient H2O2 Photosynthesis

Advanced Materials, EarlyView.
Ionic cocrystal‐programmed ionic organization establishes a general strategy for electrostatic programming in polymeric photocatalysts. ABSTRACT Controlling the spatial organization of ions in polymeric photocatalysts remains a fundamental challenge for optimizing charge transport and catalytic selectivity in solar‐driven hydrogen peroxide (H2O2 ...
Anna Lo Presti, Zahra Hajiahmadi, Sam A. J. Hillman, Mu Xiao, James R. Durrant, Thomas D. Kühne, Christian Mark Pelicano   +6 more
wiley   +1 more source

Time-Frequency Feature Extraction and Modal Component Reconstruction for Structural Dynamic Monitoring Using MTM-eNTFT. [PDF]

Entropy (Basel)
Li L, Wang J, Zhang C.
europepmc   +1 more source

High‐Mobility Chalcogenophene‐Engineered Diketopyrrolopyrrole Mixed Ionic‐Electronic Conductors With Doping Tolerance for Low‐Power Organic Electrochemical Transistors

Advanced Materials, EarlyView.
Chalcogen substitution emerges as a powerful strategy for designing high‐performance OMIECs. In aliphatic–glycol side chain diketopyrrolopyrrole polymers, biselenophene incorporation promotes a planar, polarizable, and doping‐tolerant quinoidal framework, enabling PDPP‐4EG‐Se2 to combine high hole mobility, large µC*, enhanced operational stability ...
Shinbee Oh, Tae Hoon Kim, Dahyun Jeong, Ji Hwan Kim, Seungjin Lee, Tan Ngoc‐Lan Phan, Alexander Tipan‐Quishpe, Myung‐Han Yoon, Keehoon Kang, Bumjoon J. Kim   +9 more
wiley   +1 more source

DG-LLM: Decomposition-based dynamic graph adaptation of large language models for spatiotemporal traffic forecasting. [PDF]

PLoS One
Tabassum S, Nower N.
europepmc   +1 more source

Descriptor‐Informed Screening of Interface‐Active Molecules for Efficient Magnesium Metal Anodes

Advanced Materials, EarlyView.
A descriptor‐informed molecular screening strategy identifies 4‐bromo‐N, N‐dimethylaniline (BrNNA) as an interface‐active electrolyte component that enables fast Mg stripping/plating in Mg(TFSI)2‐based electrolytes. By simultaneously regulating Mg2+ solvation and interphase formation, the BrNNA‐containing electrolyte delivers activation‐free Mg ...
Hao Xu, Yue Li, Tian Xie, Arafat Hossain Khan, Fengzhan Sun, Zhao Li, Lingyue Liu, Zhaohui Yang, Xinlong Xie, Huayu Qiu, Quanquan Guo, Tian Sun, Xingyuan Chu, Jingwei Du, Jianxin Zou, Xinliang Feng, Minghao Yu   +16 more
wiley   +1 more source

Nonlinear Correlation of POD and DMD Modal Coefficients in Reduced-Order Modeling of Flow Around a Cylinder in a Microchannel. [PDF]

Micromachines (Basel)
Zuo B, Yang X, Wang H, Xiao Q.
europepmc   +1 more source

Charge Storage and Dark Photocatalysis in Multivariate Ti‐Based Metal‐Organic Frameworks

Advanced Materials, EarlyView.
The mixed‐linker series of the titanium‐based metal–organic framework COK‐47 enables systematic tuning of photoresponsiveness and (dark) photocatalytic activity, deepening our understanding of structure‐property‐function relationships. Tailored metal‐to‐ligand charge transfer between the secondary building units (metal‐oxo layers and organic linkers ...
Julia E. Knapp, Bibhuti Bhusan Rath, Borja Ortín‐Rubio, Lukas Bauder, Kristina Gjorgjevikj, Saunak Das, Mariia Ferree, Frédéric Laquai, Lorenzo Tesi, Bettina Baumgartner, Simon Krause, Bettina V. Lotsch   +11 more
wiley   +1 more source

A synergistic deep learning framework integrating GWO-VMD and dual-channel TCN-GRU for cobalt ion concentration prediction in zinc hydrometallurgical purification. [PDF]

Sci Rep
Shang X, Yin W, Pan J, Wang M, Wang H, Yang K, Xiao Q.   +6 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