Results 161 to 170 of about 53,630 (195)

Recent Advancements of Transcranial Direct Current Stimulation and Machine Learning: Methods, Challenges, and Opportunities. [PDF]

Trans Artif Intell
Cheng J, Sahni T, Zhao Z, Stolte SE, You C, Woods AJ, Indahlastari A, Fang R.   +7 more
europepmc   +1 more source

Deciphering Intricacies in Directional CO2 Conversion From Electrolysis to CO2 Batteries

Advanced Energy Materials, EarlyView.
This review will delve into the inherent connections and distinctions of CO2‐directed conversion in ECO2RR and CO2 batteries, in terms of product types, catalyst selection, catalytic mechanisms, and electrochemical performances, while proposing a benchmarking framework for the evaluation of CO2 batteries and innovative CO2 battery configurations for ...
Changfan Xu, Huaping Zhao, Lizhuang Chen, Weidong Shi, Guosheng Shao, Yong Lei   +5 more
wiley   +1 more source

Inferring neural sources from electroencephalography: foundations and frontiers. [PDF]

J Neural Eng
Phillips AR, Vakilna YS, EPMoghaddam D, Banta A, Mosher JC, Aazhang B.   +5 more
europepmc   +1 more source

Engineering Trace‐Amount Electrolyte Additives for Aqueous Zinc Batteries

Advanced Energy Materials, EarlyView.
Large‐amount additives primarily modify the bulk electrolyte by coordinating with Zn2+ or reshaping the hydrogen‐bond network, thereby altering the overall solution chemistry. In contrast, trace‐amount additives mainly operate at the electrode–electrolyte interface, regulating Zn deposition through electric double‐layer modulation, interfacial ...
Zhaoxin Li, Jinhua Guo, Longjun Chang, Zhenyu Jiang, Shuchang Liu, Chao Wang, Qi Liu, Baohua Li, Zhiqiang Niu, Qing Li   +9 more
wiley   +1 more source

Unleashing the transformative power of deliberation with contextual citizens. [PDF]

Philos Trans A Math Phys Eng Sci
Lambert-Mogliansky A, Frérot I.
europepmc   +1 more source

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Permittivity Measurement in Multi-Phase Heterogeneous Concrete Using Evidential Regression Deep Network and High-Frequency Electromagnetic Waves. [PDF]

Materials (Basel)
Hou Z, Liu H, Cheng J, Zhang Q, Tong Z.
europepmc   +1 more source

Silicon‐Based Anodes for Sulfide Solid‐State Batteries: Failure Mechanisms and Multiscale Design Strategies

Advanced Energy Materials, EarlyView.
Silicon anodes in sulfide SSBs face coupled electrochemo‐mechanical failure by interface instability. This review examined recent advances and proposed mitigation strategies via material‐, electrode/interface‐, and cell‐level‐ engineering. We further evaluate scalable synthesis of sulfide SEs.
Murugesan Karuppaiah, JaeWook Seo, SeEun Park, Seung Hyeok Chu, Jung Kyoo Lee   +4 more
wiley   +1 more source

The Inverse of Exact Renormalization Group Flows as Statistical Inference. [PDF]

Entropy (Basel)
Berman DS, Klinger MS.
europepmc   +1 more source

Exploring ISAC: Information-Theoretic Insights. [PDF]

Entropy (Basel)
Ahmadipour M, Wigger M, Shamai S.
europepmc   +1 more source