Effect of Vacancy Behavior on Precipitate Formation in a Reduced-Activation V-Cr-Mn Medium-Entropy Alloy. [PDF]
Wang T +13 more
europepmc +1 more source
Phase boundaries between Co2P and CoP are constructed through a controlled transformation of Co to Co2P‐CoP branched nanoparticles. The polycrystalline mixed‐phase Co2P‐CoP branches are enriched with phase boundaries that stabilize Co active sites for OER. This work highlights phase boundary engineering as a powerful approach to tailor active sites and
Zeno R. Ramadhan +10 more
wiley +1 more source
DFT-Based Analysis on Structural, Electronic and Mechanical Properties of NiCoCr Medium-Entropy Alloy with C/N/O. [PDF]
Cheng S, Luo Y, Yao Y, Wang Y, Cao F.
europepmc +1 more source
Enhancing Microstructural and Mechanical Properties of Ferrous Medium-Entropy Alloy through Cu Addition and Post-Weld Heat Treatment in Gas Tungsten Arc Welding. [PDF]
Yoo S +5 more
europepmc +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Enhancing the strength and ductility of a medium entropy alloy through non-basal slip activation. [PDF]
Chen Z +18 more
europepmc +1 more source
Strange Metallicity and Magnetic Order in the CoNi(Cr/V) Medium-Entropy Alloy System. [PDF]
Mustafa F +6 more
europepmc +1 more source
Anion‐exchange doping of conjugated polymers is an effective way to achieve high conductivities. Here, we report over 2000 S cm−1 electrical conductivity for doped P(g3BTTT). In addition, we show that P(g3BTTT) sustains exceptionally high doping levels without any drop in the charge mobility.
Basil Hunger +14 more
wiley +1 more source
Tailoring the Mechanical Properties of Al<sub>0.4</sub>CrFe<sub>2</sub>Ni<sub>2</sub> Medium-Entropy Alloy via Thermomechanical Processing. [PDF]
Kočiško R +7 more
europepmc +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source

