Results 231 to 240 of about 77,635 (355)

Synthesis and Characterization of Highly Conductive Cobalt Phthalocyanine‐Based Metal–Organic Framework

Advanced Electronic Materials, EarlyView.
A two‐dimensional (2D) layered material, CoPc‐MOF, with a cobalt phthalocyanine backbone as its structural unit, was successfully synthesized. CoPc‐MOF adopts a crystal structure analogous to a Lieb lattice, which is a type of Dirac material. CoPc‐MOF exhibits exceptionally high electrical conductivity for an organic semiconductor, which likely ...
Norihiro Morishita, Momoka Isobe, Fumiya Abe, Ayaka Yasuda, Kenichi Ozawa, Kazuhiko Mase, Ryosuke Ohnuki, Shinya Yoshioka, Kaname Kanai   +8 more
wiley   +1 more source

Safety of Sodium‐Ion Batteries: Evaluation and Perspective from Component Materials to Cells, Modules, and Packs

Advanced Energy Materials, EarlyView.
This review provides a bottom‐up evaluation of sodium‐ion battery safety, linking material degradation mechanisms, cell engineering parameters, and module/pack assembly. It emphasizes that understanding intrinsic material stability and establishing coordinated engineering control across hierarchical levels are vital for preventing degradation coupling ...
Won‐Gwang Lim, Seoa Kim, Erik A. Wu, Darren H. S. Tan, Shawn Peng, Xiaolin Li   +5 more
wiley   +1 more source

Nutritional Profiling and Glycemic Index Assessment of a Soup Powder Formulation From Squash, Green Banana, Black Beans, and Coconut. [PDF]

Int J Food Sci
Doline GTR, Adelaïde DM, William DA, Fideline TM, Roland Jethro EMN, Solange LM, Modestine KSM, Inocent G.   +7 more
europepmc   +1 more source

Redox Complexity in Sodium Manganese Hexacyanomanganate and Its Influence on Sodium‐Ion Storage Performance

Advanced Energy Materials, EarlyView.
The role of each Mn site in the Na3‐xMn[Mn(CN)6]·zH2O compounds’ redox activity was investigated using a combined experimental–computational approach, which shows that only the low‐spin Mn‐C site undergoes redox changes (Mn1+ to Mn4+), while high‐spin Mn‐N remains unchanged. The study confirms the presence of the Mn1+ intermediate and newly reveals its
Zhenying Li, Nilanka M. Keppetipola, Yu Wang, Gwenaëlle Rousse, Romain Dugas, Anatolii V. Morozov, Artem M. Abakumov, Héloïse Pages, Mouna Ben Yahia, Marie‐Liesse Doublet, Ozlem Sel, Jean‐Marie Tarascon   +11 more
wiley   +1 more source

Olahraga squash

, 2010
Raharjo Sastro Wiyono, Navita, Siti Aesyah   +2 more
core  

Storing pumpkin and winter squash at home

Suggests techniques to harvest, cure and store pumpkin and winter squash properly at home.Revised September 2009. Reviewed December 2014. Facts and recommendations in this publication may no longer be valid.
Mansour, N. S., Oregon State University. Extension Service   +1 more
core  

Physical activity and dose-characteristics in free-living conditions among patients awaiting coronary artery bypass graft surgery: a cross-sectional study. [PDF]

BMC Cardiovasc Disord
Dijkstra S, Tasbihgou SR, Tigchelaar I, Atmosoerodjo SD, Huet R, van der Woude LHV, Mariani MA, Absalom AR.   +7 more
europepmc   +1 more source

Investigation Into the Electrochemical Performance of Micron‐ and Nanosized Tin in Diglyme and Carbonate Electrolytes in Sodium Ion Batteries

Advanced Energy Materials, EarlyView.
This study compares Sn particles of different sizes in NIBs using carbonate‐ and diglyme‐based electrolytes. Diglyme electrolytes enable stable cycling despite large volume changes, while carbonate electrolytes degrade rapidly, especially with nanoparticles.
Chinnasamy Murugesan, Aaron B. Naden, Paul A. Connor, A. Robert Armstrong, John T. S. Irvine   +4 more
wiley   +1 more source

Expression of Concern: Genetic Mapping of QTLs Controlling Fatty Acids Provided Insights into the Genetic Control of Fatty Acid Synthesis Pathway in Peanut (Arachis hypogaea L.). [PDF]

PLoS One
PLOS One Editors.
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