Results 171 to 180 of about 20,650,460 (241)

Expected KL risk quantifies when first-order power-law approximations are sufficient. [PDF]

Sci Rep
Oosawa C.
europepmc   +1 more source

Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries

Advanced Energy Materials, EarlyView.
This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee, Zachary T. Gossage, Shinichi Kumakura, Shinichi Komaba   +3 more
wiley   +1 more source

Advances in Metal Microstructure Simulation and Analysis. [PDF]

Materials (Basel)
Liu M, Zhou H, Jiang H, Yue C.
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

Radiation dose comparison of photon-counting breast CT and mammography: A phantom study. [PDF]

Eur J Radiol Open
Cester D, Piol G, Paverd C, Saenger J, Bos D, Shim S, Boss A.   +6 more
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

Monte Carlo simulation and experimental validation of SPECT systems via energy spectrum decomposition and image profile analysis. [PDF]

EJNMMI Phys
Peng Z, Wasaye MA, Siddique I, Wali F, Saeed M.   +4 more
europepmc   +1 more source

Integrated Bipolar Membrane Electrodialysis and Electrolysis for CO2 Capture and Conversion

Advanced Energy Materials, EarlyView.
This work demonstrates an integrated BMEED platform that couples CO2 capture and conversion within a single modular system. By combining BMED with CO2E, high‐purity CO is produced while avoiding intermediate stripping, excessive capital and O&M costs, and external gas feeds.
Hyuck Joo Choi, Hakhyeon Song, Mohammed Tahmid, Hyeonuk Choi, Jihun Oh, Marta C. Hatzell   +5 more
wiley   +1 more source

Machine Learning-Driven Prediction and Design Guidance for Asphalt Concrete Using Marshall Stability and Indirect Tensile Strength. [PDF]

Materials (Basel)
Xing J, Tan X, Guo M, Guo P, Wang Y, Jin D.   +5 more
europepmc   +1 more source

Experimentally Determined Spatiotemporal Charge Carrier Dynamics for the Development of Particulate Photocatalysts

Advanced Energy Materials, EarlyView.
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley   +1 more source