Results 231 to 240 of about 4,282,587 (297)

Liquid Fluxional Ga Single Atom Catalysts for Efficient Electrochemical CO2 Reduction.

Angewandte Chemie, 2022
Precise design and tuning of the micro-atomic structure of single atom catalysts (SACs) can help efficiently adapt complex catalytic systems. Herein, we inventively found that when the active center of the main group element gallium (Ga) is downsized to ...
Zedong Zhang, Jiexin Zhu, Shenghua Chen, Wenming Sun, Dingsheng Wang   +4 more
semanticscholar   +1 more source

Towards a comprehensive optimization of engine efficiency and emissions by coupling artificial neural network (ANN) with genetic algorithm (GA)

, 2021
In response to the stringent emission regulations, artificial neural network (ANN) coupled with genetic algorithm (GA) is employed to optimize a novel internal combustion engine strategy named direct dual fuel stratification (DDFS). An enhanced ANN model
Yaopeng Li, M. Jia, Xu Han, X. Bai
semanticscholar   +1 more source

Asynchronous Particle Swarm Optimization-Genetic Algorithm (APSO-GA) Based Selective Harmonic Elimination in a Cascaded H-Bridge Multilevel Inverter

IEEE transactions on industrial electronics (1982. Print), 2021
In this article, a hybrid asynchronous particle swarm optimization-genetic algorithm (APSO-GA) is proposed for the removal of unwanted lower order harmonics in the cascaded H-bridge multilevel inverter (MLI).
Mudasir Ahmed Memon, M. Siddique, S. Mekhilef, M. Mubin   +3 more
semanticscholar   +1 more source

Ga-Based Liquid Metal Micro/Nanoparticles: Recent Advances and Applications.

Small, 2020
Liquid metals are emerging as fluidic inorganic materials in various research fields. Micro- and nanoparticles of Ga and its alloys have received particular attention in the last decade due to their non toxicity and accessibility in ambient conditions as
Hyunsun Song, T. Kim, Seohyun Kang, Haneul Jin, Kwangyeol Lee, H. Yoon   +5 more
semanticscholar   +1 more source

A hybrid GSA-GA algorithm for constrained optimization problems

Information Sciences, 2019
In this paper, a new hybrid GSA-GA algorithm is presented for the constraint nonlinear optimization problems with mixed variables. In it, firstly the solution of the algorithm is tuned up with the gravitational search algorithm and then each solution is ...
Harish Garg
semanticscholar   +1 more source

Exercising hybrid statistical tools GA-RSM, GA-ANN and GA-ANFIS to optimize FDM process parameters for tensile strength improvement

, 2020
The properties of functional parts printed by additive manufacturing are highly dependent on various process parameters of the machine. The process parameters can be optimized by hybrid statistical tools to enhance the objective function.
Sandeep Deshwal, Ashwani Kumar, D. Chhabra   +2 more
semanticscholar   +1 more source

LoRA-GA: Low-Rank Adaptation with Gradient Approximation

Neural Information Processing Systems
Fine-tuning large-scale pretrained models is prohibitively expensive in terms of computational and memory costs. LoRA, as one of the most popular Parameter-Efficient Fine-Tuning (PEFT) methods, offers a cost-effective alternative by fine-tuning an ...
Shaowen Wang, Linxi Yu, Jian Li
semanticscholar   +1 more source

Optimizing a hybrid wind-PV-battery system using GA-PSO and MOPSO for reducing cost and increasing reliability

Energy, 2017
In this paper, a hybrid genetic algorithm with particle swarm optimization (GA-PSO) is applied for the optimal sizing of an off-grid house with photovoltaic panels, wind turbines, and battery.
Narges Ghorbani, A. Kasaeian, Ashkan Toopshekan, Leyli Bahrami, A. Maghami   +4 more
semanticscholar   +1 more source

GAS! GAS! GAS!

New Scientist, 2015
If you think the chemical horrors of the first world war were history, think again, says Debora ...
openaire   +1 more source