Results 161 to 170 of about 88,789 (309)

Electrolysis-based diaphragm actuators

, 2006
Recent studies using neuroprobes indicate that it is highly desirable for the probes to have moving (both forward and backward) capability so that it can track a specific neuron in the brain, because live neurons do move around.
Changlin Pang, Yu-chong Tai, Joel W. Burdick, Richard A. Andersen   +3 more
core  

Thermodynamic Limits to Molecular Doping in Conjugated Polymers: A Perspective on Phase Behavior and Miscibility

Advanced Materials, EarlyView.
Molecular doping of conjugated polymers is fundamentally constrained by thermodynamic phase behavior. This Perspective reframes doping efficiency and stability in terms of miscibility limits, binodals, and solvus boundaries, highlighting the role of effective interaction parameters and charge transfer.
Somayeh Kashani, Justin Neu, Sung‐Joo Kwon, Runqio Song, Zixuan Chen, Tajah Trapier, Paschalis Gkoupidenis, David Ginger, Wei You, Jasper J. Michels, Harald Ade   +10 more
wiley   +1 more source

The structure of technological learning: Insights from water electrolysis for cost forecasting, policy, and strategy. [PDF]

iScience
Atouife M, Jenkins JD.
europepmc   +1 more source

Phase Boundary Engineering of Co2P‐CoP Branched Nanoparticles Enhances Cobalt Oxidation for Oxygen Evolution Electrocatalysis

Advanced Materials, EarlyView.
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, Soshan Cheong, Sankhadip Saha, Qinyu Li, Xiaoran Zheng, Samuel V. Somerville, Agus R. Poerwoprajitno, Priyank V. Kumar, Liming Dai, J. Justin Gooding, Richard D. Tilley   +10 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
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, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Comparative Evaluation of Electrocoagulation for the Removal of Polyethylene and Polyvinyl Chloride Microplastics from Wastewater. [PDF]

Polymers (Basel)
Tiwari B, Arya RK, Verros GD.
europepmc   +1 more source

Resistance to Overdoping Allows Over 2000 S cm−1 Conductivity in P(g3BTTT) With Anion‐Exchange Doping

Advanced Materials, EarlyView.
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, Maximilian M. Horn, Eva Röck, Diego Rosas Villalva, Lize Bynens, Jochen Vanderspikken, Christina Kousseff, Silène Gobeil, Olivier Bardagot, Nesibe Akmanşen‐Kalayci, Sarah H. Tolbert, Iain McCulloch, Wouter Maes, Demetra Tsokkou, Natalie Banerji   +14 more
wiley   +1 more source

Electrolysis [PDF]

Nature, 1885
openaire   +1 more source

Organic Electrosynthesis in Solid Polymer Electrolyte Electrolyzers: Interfacial Reaction Engineering and Operando Analysis. [PDF]

Acc Chem Res
Shimizu Y, Shida N, Atobe M.
europepmc   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source