Results 161 to 170 of about 13,977 (254)
This work demonstrates a design paradigm of phonon‐driven negative‐thermal‐expansion (NTE) flexible framework that exploits the intrinsic lattice flexibility of NTE frameworks to simultaneously suppress thermal expansion and activate oxide‐ion conduction, offering a promising strategy to mitigate TEC mismatch in solid‐state ionic devices.
Xiaohui Li +10 more
wiley +1 more source
Advanced techniques to reveal the underlying physics of ultrasonic processing. [PDF]
Eskin DG +3 more
europepmc +1 more source
An “Interface Reactor” strategy boosts simulation stability by 2–3 orders of magnitude, enabling stable 100 ns molecular dynamics of electrode‐electrolyte interfaces. Distinct SEI formation mechanisms are revealed: mixed co‐formation in carbonates versus surface‐energy‐controlled NaF crystallization in ethers. Metadynamics simulations further elucidate
Zhoulin Liu +6 more
wiley +1 more source
Conditions Enabling the Persistence of Cooperating Synthetase, Ligase, and Mutation-Inhibitor Catalytic Polymers. [PDF]
Peng Z +4 more
europepmc +1 more source
Atomically correlated phosphorus–sulphur sites are introduced into graphitic carbon nitride to regulate charge distribution, suppress localized trapping, and enhance oxygen activation. The resulting metal‐free photocatalyst selectively promotes the two‐electron oxygen reduction pathway, enabling efficient hydrogen peroxide production in pure water ...
Adnan Ahmad +12 more
wiley +1 more source
Scalable Miniemulsion Polymerization of Methyl Methacrylate (MMA) in Continuous Flow. [PDF]
Dev Ammini G +3 more
europepmc +1 more source
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
Machine Learning of Temperature‐Dependent Chemical Kinetics Using Parallel Droplet Microreactors
An integrated droplet microfluidics and machine learning framework enables high‐throughput characterization of temperature‐dependent reaction kinetics. Time‐resolved measurements from thousands of droplets train Neural ODE models that accurately predict nonlinear reaction dynamics across diverse thermal environments, bridging large‐scale ...
Mamoru Saita, Yutaka Hori
wiley +1 more source
Impact of Purge Regime and Reactor Volume on ALD ZnO and ZrO<sub>2</sub> Growth: From Structural Properties to Applications. [PDF]
Wachnicki L, Gieraltowska S.
europepmc +1 more source

