Results 201 to 210 of about 6,704,544 (353)
Structural Design and Performance Optimization of Proton Exchange Membranes for Water Electrolysis: A Review. [PDF]
Chen Y, Ma H, Hsiao BS.
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
Recent Advances in Catalysts for Hydrogen Production: From Fossil-Derived Processes to Sustainable Water Electrolysis and Photocatalysis. [PDF]
Bousada GM +8 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
Cr and Nd co-doped cobalt oxide for stable proton exchange membrane water electrolysis. [PDF]
Gao T +10 more
europepmc +1 more source
Green Hydrogen Production by Water Electrolysis: Current Status and Challenges
B. A. Horri, Hasan Ozcan
semanticscholar +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
Photovoltaic water electrolysis reaching 31.3% solar-to-H<sub>2</sub> conversion efficiency under outdoor operating conditions. [PDF]
Martínez JF +3 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
An experimentally validated model of electrolyte effects in alkaline water electrolysis. [PDF]
Pinto R, Oliveira M, Borges A.
europepmc +1 more source

