Results 161 to 170 of about 231,323 (314)
Secondary Organic Aerosol from OH Oxidation of Acyclic Terpenes Is More Viscous and Less Volatile than That of Their Cyclic Analogs. [PDF]
Liu S +8 more
europepmc +1 more source
Financial Fragility and Exchange Rate Volatility in Haiti: Evidence from Structural Breaks and VECM Analysis [PDF]
Rocheny Sifrain
openalex +1 more source
Two novel donor–π–acceptor photoinitiators enable ultrafast long‐wavelength photopolymerization under blue/green LEDs and sunlight. Effective at low intensities and concentrations, they overcome slow kinetics and permit rapid 3D printing via DLW, DLP, and LCD methods.
Ji Feng +9 more
wiley +1 more source
Revisiting the excess volatility puzzle through the lens of the Chiarella model. [PDF]
Kurth JG, Majewski AA, Bouchaud JP.
europepmc +1 more source
It is reported that the ferroelectric switching behavior of rhombohedral (3R) phase transition metal dichalcogenide (TMD) bilayers strongly depends on their domain structures. Single‐domain TMDs (SD‐TMDs) with domain‐wall‐free structures exhibit robust and stable polarization switching, whereas poly‐domain TMDs (PD‐TMDs) with randomly distributed ...
Ji‐Hwan Baek +8 more
wiley +1 more source
Dynamic forecasting and mechanisms of volatility synchronization in complex financial systems. [PDF]
Li JC, Guo J, Ma R, Zhong G.
europepmc +1 more source
A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou +8 more
wiley +1 more source
Entropy-Augmented Forecasting and Portfolio Construction at the Industry-Group Level: A Causal Machine-Learning Approach Using Gradient-Boosted Decision Trees. [PDF]
Cohen G, Aiche A, Eichel R.
europepmc +1 more source
A W/NbOx/Pt memristor demonstrates the coexistence of volatile, non‐volatile, and threshold switching characteristics. Volatile switching serves as a reservoir computing layer, providing dynamic short‐term processing. Non‐volatile switching, stabilized through ISPVA, improves reliable long‐term readout. Threshold switching operates as a leaky integrate
Ungbin Byun, Hyesung Na, Sungjun Kim
wiley +1 more source

