Results 41 to 50 of about 8,741 (218)

High Upper Critical Field and Type II Superconductivity in Epitaxial Cubic W2N Thin Films

Advanced Science, EarlyView.
Superconducting thin films of stoichiometric W2N demonstrate a high upper critical field (Hc2) of ∼ 8.5 T, uncommon among binary transition metal nitrides. This robust superconducting response under high magnetic fields highlights the technological relevance of W2N for superconducting applications, e.g., integrated quantum and cryogenic electronics ...
Aditya Singh, Arnaud le Febvrier, Sanath Kumar Honnali, Abhisek Mishra, Grzegorz Greczynski, Subhankar Bedanta, Per Eklund, Ajay Soni   +7 more
wiley   +1 more source

DIPOLE MOMENTS OF METALLIC SOAPS

, 1950
The dipole moments of six metallic soaps, viz., the oleates of Zn Cu, Mg, Ni, Pb and Ca have been determined by a heterodyne beat method. The values Are 0.29 D, 1.20 D, 1.66 D, 2.67 D, 4.29 D and 4.49 D respectively. Though the metallic soaps are generally regarded as non-polar from their physico-chemical, particu­larly solubility behaviour, being ...
BIRENDRA CHANDRA BANERJEE, SANTI R. PALIT   +1 more
openaire   +2 more sources

Synthetic Shewanella‐Bacillus Microbial Consortia for Enhanced Metal Oxide Leaching From Spent Lithium‐Ion Batteries Using Brewing Wastewater as Leaching Agent

Advanced Science, EarlyView.
A recycling approach of spent lithium‐ion batteries is developed using brewing wastewater as the leaching agent and an engineering microbial consortium as the biocatalyst. Shewanella oneidensis reduces spent LiNixCoyMn1‐x‐yO2 cathodes via extracellular electron transfer, while Bacillus subtilis removes residual ethanol to eliminate inhibition.
Baocai Zhang, Chunxiao Qiao, Huichun Liu, Yiyun Wang, Yan Liu, Huan Yu, Junqi Zhang, Chao Li, Deguang Wu, Qulai Tang, Zhiwen Wang, Danni Zhang, Dake Xu, Feng Li, Hao Song   +14 more
wiley   +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

Stability evaluation of nano loaded and conventional soaps and ointments

Discover Chemistry
This study evaluates the 12-month stability of conventional and nano loaded soap and ointment formulations, focusing on physicochemical and microbiological parameters.
Aliyu Shehu, Oluwole Okunola Joshua, Uduma A. Uduma   +2 more
doaj   +1 more source

EFFECT OF METALLIC SOAPS ON POLYMERISATION

, 1953
Effect of a few oil-soluble, surface-active agents and the oleates of Cr, Ag, Cd, Pb, Cu on the benzoyl peroxide catalysed polymerisation of styrene in solution and that of the soaps of Mn, Zn, Cd, Co, Ni, Al, Fe etc. on the polymerisation of methyl methacrylate and styrene in absence of peroxide catalyst have been studied.
JYOTIRINDRA NATH SEN, SANTI R. PALIT
openaire   +2 more sources

Evaluation of plasma‐reaction‐driving capability in dielectric barrier discharge systems: Insights from CH4 splitting

AIChE Journal, EarlyView.
Abstract Dielectric barrier discharge (DBD) plasma systems are promising routes for CH4 splitting to COx‐free hydrogen, but their optimization has historically been hindered by the lack of a universal descriptor linking electrical input with chemical output.
Nan Zou, Joshua M. Pearce, Amarjeet Bassi, Michael S. H. Boutilier, Ying Zheng   +4 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Hardness evaluation of prosthetic silicones containing opacifiers following chemical disinfection and accelerated aging

Brazilian Oral Research, 2010
We evaluated the effects of disinfection and aging on the hardness of silicones containing opacifiers and intended for use in facial prosthetics. A total of 90 samples were produced using a cylindrical metal mold 3 mm in height and 30 mm in diameter. The
Marcelo Coelho Goiato, Marcela Filié Haddad, Daniela Micheline dos Santos, Aldiéris Alves Pesqueira, Amália Moreno   +4 more
doaj   +1 more source

About metal soaps in ethnographic collections 

CeROArt
This article discusses the value of ethnographic objects in museums and collections, and the challenges of preserving them due to their complex composition and poly-materiality. Specifically, the study focuses on the formation of metal soaps on objects made of metal in contact with leather or wood parts.
Russo, Silvia, Granget, Elodie, Malefakis, Alexis, Brambilla, Laura, Thomas, Jean-Baptiste, Joseph, Edith   +5 more
openaire   +3 more sources