Results 201 to 210 of about 13,368 (281)
Impact of Trap Depth on the Steady‐State and Transient Photoluminescence in Halide Perovskite Films
The presence of shallow traps in halide perovskites is frequently postulated by density functional theory calculations. This review studies the implications of recombination‐active shallow traps on steady‐state and transient recombination kinetics. How to identify shallow traps and how the depth of the traps and their density are reflected in different
Jürgen Hüpkes +2 more
wiley +1 more source
4E analysis of supercritical carbon dioxide (sCO<sub>2</sub>) cycles: evaluating energy, exergy, environmental sustainability, and economic impacts in combined systems. [PDF]
Ahmadi M, Zirak S.
europepmc +1 more source
Leveraging configurational entropy, high‐entropy double perovskite oxides (HEDPOs) enable unprecedented electrochemical performance in protonic ceramic electrochemical cells, achieving 1.77 W·cm−2 at 650 °C and 4.42 A·cm−2 at 1.3 V. Entropy‐stabilized structures facilitate rapid proton and oxygen ion transport with enhanced surface kinetics ...
Seeun Oh +5 more
wiley +1 more source
No-Signaling in Steepest Entropy Ascent: A Nonlinear, Non-Local, Non-Equilibrium Quantum Dynamics of Composite Systems Strongly Compatible with the Second Law. [PDF]
Ray RK, Beretta GP.
europepmc +1 more source
The second law of thermodynamics can never be violated for all time- and space-scales
Andrew Das Arulsamy
openalex +2 more sources
Photoelectrochemical (PEC) organic upgrading at the anode, coupled with hydrogen evolution at the cathode, presents a promising strategy for enhancing solar energy utilization while simultaneously generating value‐added chemicals. An overview of directional photoanodic conversion of organic substrates is presented, distinctively with an eye to the ...
Cheng Lin +3 more
wiley +1 more source
Numerical analysis of second law of thermodynamics and irreversibility in exemplary quantum systems
G. B. Lesovik, Ivan Sadovskyy
openalex +2 more sources
This perspective highlights how machine learning accelerates sustainable energy materials discovery by integrating quantum‐accurate interatomic potentials with property prediction frameworks. The evolution from statistical methods to physics‐informed neural networks is examined, showcasing applications across batteries, catalysts, and photovoltaics ...
Kwang S. Kim
wiley +1 more source
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne +29 more
wiley +1 more source
Structural Complexity as a Directional Signature of System Evolution: Beyond Entropy. [PDF]
Shi D.
europepmc +1 more source

