Results 191 to 200 of about 1,437,104 (331)

On the Reduction of Computational Complexity of Deep Convolutional Neural Networks. [PDF]

Entropy (Basel), 2018
Maji P, Mullins R.
europepmc   +1 more source

Computational Processes And Phenomenal Consciousness, Mental Presence And The Temporal Present, Presence And Reality Panpsychism, Neuronal Oscillations, Chaos, Subjective Experiences, Super Yang Mills Theory, Fermi Spaces, Complexity Et Al : An Ostzonensu

, 2012
K.N.P. Kumar, B S Kiranagi, C. S. Bagewadi   +2 more
openalex   +1 more source

Computational Complexity of Functions [PDF]

, 2014
Leonid A. Levin
openalex   +1 more source

Copper Doping Enhances the Activity and Selectivity of Atomically Precise Ag44 Nanoclusters for Photocatalytic CO2 Reduction

Advanced Functional Materials, EarlyView.
By a simple anti‐Galvanic reaction, up to six copper atoms could be preferably doped into the Ag2(SR)5 staple motifs and Ag20 dodecahedral shell of an atomically precise Ag44(SR)30 nanocluster. When anatase TiO2 is used as substrate, the (AgCu)44/TiO2 photocatalyst exhibited much improved activity in photocatalytic CO2 reduction compared to Ag44/TiO2 ...
Ye Liu, Xi Zheng, Xiufan Liu, Tengyuan Gao, Nicola Pinna, Yu Wang   +5 more
wiley   +1 more source

Computation of the Complexity of the Disordered Liquid: A Replica Field Approach [PDF]

Prakash Vardhan, Trideep Rajbhar
openalex   +1 more source

Enhancing CoFe Catalysts with V2CTX MXene‐Derived Materials for Anion Exchange Membrane Electrolyzers

Advanced Functional Materials, EarlyView.
MXene dervied CoFe composites show increased initial Oxygen Evolution Reaction (OER) activity compared to the pure CoFe and MXene in an Anion Exchange Membrane device. Vanadium vacancies in the MXene plays a role in increased OER activity and hinders Fe leaching in the AEM device over using the pure V2C MXene as a support material for the CoFe ...
Can Kaplan, Karuppasamy Dharmaraj, Thorsten Schultz, Leiqiang Qin, Ningjun Chen, Danielle A. Douglas‐Henry, Bastian Schmiedecke, Merve Buldu‐Akturk, Axel Zuber, Iris Dorbandt, Maximilian Reinhardt, Yael Rodriguez‐Ayllon, Yan Lu, Valeria Nicolosi, Norbert Koch, Johanna Rosen, Michelle P. Browne   +16 more
wiley   +1 more source

Noise-Robust Heart Rate Estimation Algorithm from Photoplethysmography Signal with Low Computational Complexity. [PDF]

J Healthc Eng, 2019
Shin J, Cho J.
europepmc   +1 more source

Self‐supportive Three‐Way Photoelectrochemical System Achieving Uranium Recycling, Organic Oxidation, and Electricity Generation in Complex Waters

Advanced Functional Materials, EarlyView.
A self‐sustaining solar photoelectrochemical cell (SS‐PEC) is developed to recover uranium from aqueous UO22+ with concurrent organic oxidation and electricity production. The monolithical photoanode directly captures electrons from organic compounds, leading to the oxidation of organic compounds and the decomposition of uranium‐organic complexes ...
Yumei Wang, Qingming Zeng, Haodong Ji, Rongzhong Wang, Jiachen Wang, Yanjun Wen, Wonyong Choi, Qingyi Zeng   +7 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source