Results 121 to 130 of about 206,444 (292)

How to browse and search in RADAR [PDF]

open access: yes, 2015
This guide provides step by step instructions for using the 'browse' and 'search' functions in RADAR.
openaire  

Machine Learning Paradigm for Advanced Battery Electrolyte Development

open access: yesCarbon Energy, EarlyView.
Electrolyte materials determine ion transport kinetics within the bulk and interphases, ultimately influencing the performance of battery systems. As data‐driven paradigms increasingly reshape materials discovery, this review provides an application‐oriented exploration of the intersection between machine learning and electrolyte science. By evaluating
Chang Su   +4 more
wiley   +1 more source

Random forest regression for catalyst performance prediction and validation of tri‐reforming of methane (TRM)

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Abstract Carbon dioxide‐reduced hydrogen can be synthesized through various methods such as dry‐reforming (DRM), steam reforming (SMR), and partial oxidation (POX). Tri‐reforming of methane (TRM) is a promising technology which combines all the above‐mentioned processes for the simultaneous production of hydrogen and syngas with high energy efficiency.
Paulo A. L. de Souza   +3 more
wiley   +1 more source

Hybrid machine learning and genetic algorithm approach for catalyst and process optimization in Fischer–Tropsch synthesis toward sustainable fuel production

open access: yesThe Canadian Journal of Chemical Engineering, EarlyView.
Graphical representation of a data‐driven framework for Fischer‐Tropsch synthesis (FTS) modelling and optimization. Abstract This study presents a data‐driven approach for predicting the relationships between catalyst design, process conditions, and product selectivity in Fischer–Tropsch synthesis (FTS).
Doaa M. Hassan   +2 more
wiley   +1 more source

Strengthening urban resilience in China through underground infrastructures management: Addressing global climate challenges with technological solutions

open access: yesDeep Underground Science and Engineering, EarlyView.
This paper explores how climate‐resilient technologies, such as smart grids, digital twins, and self‐healing materials, can enhance urban resilience. It highlights the urgent need for proactive planning, public‐private collaboration, and data‐driven innovation to future‐proof underground infrastructure amid accelerating climate and urban pressures ...
Kai Chen Goh   +12 more
wiley   +1 more source

Vegetation on the move: elevational shifts and greening dynamics across the Himalayan alpine zone

open access: yesEcography, EarlyView.
This study investigates alpine ‘vegetation line' (the upper limit of continuous plant community) dynamics in the Himalayan alpine zone (HAZ) over a 24‐year timescale (1999–2022) using maximum NDVI products derived from Landsat series datasets, adjusted for sampling bias using phenological modelling.
Ruolin Leng   +5 more
wiley   +1 more source

Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang   +10 more
wiley   +1 more source

Machine Learning‐Assisted Design of BaTiO3‐Based Superparaelectric High‐Entropy Ceramics with Superior Energy Storage

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed an adaptive iterative strategy combining machine learning algorithms, domain knowledge, experimental design, and experimental feedback to aim to precisely and quickly discover high‐entropy ceramics with excellent energy storage performance.
Haowen Liu   +4 more
wiley   +1 more source

A multi‐level approach for multi‐objective optimization in process eco‐design

open access: yesEnvironmental Progress &Sustainable Energy, EarlyView.
Abstract This work addresses a central challenge in process eco‐design: how to efficiently integrate environmental and economic criteria—often conflicting—into early design stages while managing the high dimensionality of Life Cycle Assessment (LCA) indicators.
Luis Fernando Morales‐Mendoza   +3 more
wiley   +1 more source

Search Operation Method for Multi-Search Areas of Multi-Function Radar

open access: yesThe Journal of Korean Institute of Electromagnetic Engineering and Science, 2022
Soojeong Lee, Nam Moon Kim
openaire   +2 more sources

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