Results 91 to 100 of about 7,180 (259)

Decoupling Electronic–Ionic Transport and Catalysis Enables High‐Performance, Chemically Stable Sr‐Free Air Electrodes for High‐Temperature Solid Oxide Cells

open access: yesAdvanced Science, EarlyView.
A Sr‐free air electrode for high‐temperature solid oxide cells is designed by independently tailoring electronic conduction, ionic transport, and surface catalysis using complementary Sr‐free phases and infiltrated nanocatalysts. It delivers performance comparable to state‐of‐the‐art Sr‐containing electrodes while completely suppressing Cr‐induced ...
Ji‐eun Won   +10 more
wiley   +1 more source

Spontaneous Long‐Range Order and Alignment in Phase‐Separated Dynamic Covalent Networks Using Discrete Siloxanes

open access: yesAngewandte Chemie, EarlyView.
Spontaneously aligned, long‐range hexagonal columnar ordering is obtained in phase‐separated dynamic covalent networks by combining discrete siloxanes and dynamic acylsemicarbazide bonds. The ordered network shows improved (thermo)mechanical properties and creep resistance compared to the disordered network.
Stefan J. D. Maessen   +6 more
wiley   +2 more sources

Self‐Assembly of Organic–Inorganic Copolymers Toward Bio‐Inspired Cementitious Composites

open access: yesAdvanced Science, EarlyView.
Organic–inorganic copolymerization of calcium silicate hydrate and thioctic acid produces a self‐organized nanocomposite inspired by the disordered collagen–mineral architecture of trabecular bone. The resulting material combines a compressive strength above 300 MPa with intrinsic physical reprocessibility, retaining over 80% of its strength and energy
Zonglin Xie   +8 more
wiley   +1 more source

On‐Demand Deconstructable Thermosets Through Cleavable Comonomer and Thermolatent Base Synergy

open access: yesAngewandte Chemie, EarlyView.
Thermosets, valued for their chemical and mechanical properties, resist recycling due to their cross‐linked structure. Weak bonds via comonomers enable degradability, but diffusion limits effectiveness. We incorporate thermolatent bases before polymerization (thermal or 3D‐VAT printing).
Sophia Kouider   +15 more
wiley   +2 more sources

How the Thermomechanical Processing Can Modify the High Strain Rate Mechanical Response of a Microalloyed Steel. [PDF]

open access: yesMaterials (Basel), 2021
Błoniarz R   +6 more
europepmc   +1 more source

Thin‐Film Thermal Sensors on Chitosan Substrates for Sustainable Transient Electronics

open access: yesAdvanced Electronic Materials, EarlyView.
Fully transient thin‐film temperature sensors are realized on pure chitosan substrates using Mo‐based RTDs and a‐IGZO/Mo thermistors. The devices exhibit high sensitivity, mechanical flexibility, humidity‐aware operation, and complete dissolution in natural solvents.
Ahmed Rasheed   +14 more
wiley   +1 more source

Optimization of Thermomechanical Processing of Some Aluminum Alloys by Dimensional Interpolation Method Using the Matlab

open access: yesThe Annals of “Dunarea de Jos” University of Galati. Fascicle IX, Metallurgy and Materials Science, 2013
This paper presents results of research on optimization of thermomechanical treatment applied to an alloy of the Al-Zn-Mg-Cu system, used in the aviation industry.
Marian NEACSU   +2 more
doaj  

Emerging Materials and Future Strategies for Solid Oxide Electrochemical Cells

open access: yesAdvanced Energy Materials, EarlyView.
Solid oxide electrochemical cells operate under strongly coupled electrochemical and thermodynamic conditions, where performance is constrained by interactions among crystal structure, defect chemistry, and interfacial evolution. This review, based on a structure‐defect‐property‐durability framework, reveals the roles of lattice symmetry and defect ...
Qiuchun Lu   +4 more
wiley   +1 more source

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

open access: yesAdvanced 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   +19 more
wiley   +1 more source

Home - About - Disclaimer - Privacy