Results 31 to 40 of about 10,071,806 (341)

Generative adversarial networks (GAN) based efficient sampling of chemical composition space for inverse design of inorganic materials [PDF]

open access: yesnpj Computational Materials, 2019
A major challenge in materials design is how to efficiently search the vast chemical design space to find the materials with desired properties. One effective strategy is to develop sampling algorithms that can exploit both explicit chemical knowledge ...
Yabo Dan   +5 more
semanticscholar   +1 more source

Self-evolved BOx anchored on Mg2B2O5 crystallites for high-performance oxidative dehydrogenation of propane

open access: yesiScience, 2023
Summary: Oxidative dehydrogenation of propane (ODHP) is a promising process for producing propene. Recently, some boron-based catalysts have exhibited excellent olefin selectivity in ODHP.
Dake Zhang   +8 more
doaj   +1 more source

Impact of melt flow on the process of glass melting

open access: yesJournal of Asian Ceramic Societies, 2022
The glass melting process was mathematically modeled in the designed space to establish the controlled melt flow and study its effect on the process character and melting performance.
Petra Cincibusová   +3 more
doaj   +1 more source

Phase Change Materials for Electro-Thermal Conversion and Storage: From Fundamental Understanding to Engineering Design

open access: yesiScience, 2020
Advanced functional electro-thermal conversion phase change materials (PCMs) can efficiently manage the energy conversion from electrical energy to thermal energy, thereby playing a significant role in sustainable energy utilization.
Xiao Chen   +4 more
doaj   +1 more source

Biochar-Modified Layered Double Hydroxide for Highly Efficient on Phenol Adsorption

open access: yesBulletin of Chemical Reaction Engineering & Catalysis, 2023
All activities require drinking water. The existence of waste makes water unfit for consumption. Phenol waste is one example of waste that is often found.
Amri Amri   +6 more
doaj   +1 more source

A General-Purpose Machine Learning Framework for Predicting Properties of Inorganic Materials [PDF]

open access: yes, 2016
A very active area of materials research is to devise methods that use machine learning to automatically extract predictive models from existing materials data.
Logan T. Ward   +3 more
semanticscholar   +1 more source

The Role of New Inorganic Materials in Composite Membranes for Water Disinfection

open access: yesMembranes, 2020
Today, there is an increasing interest in improving the physicochemical properties of polymeric membranes by merging the membranes with different inorganic materials.
R. Castro‐Muñoz
semanticscholar   +1 more source

LEACHING THERMODYNAMICS AND KINETICS OF OIL SHALE WASTE KEY COMPONENTS; pp. 80–99 [PDF]

open access: yesOil Shale, 2016
Estonia is strongly dependent on locally mined oil shale which is the main fuel for power and oil production. Vast amounts of solid wastes are formed from circulating fluidized bed (CFB), pulverized firing (PF), and solid heat carrier (SHC) technologies,
KADRIANN TAMM   +5 more
doaj   +1 more source

Mg-incorporated micro/nano-topographical calcium silicate coatings with enhanced osteogenic properties and reduced inflammatory reactions

open access: yesDiscover Materials, 2023
Orthopedic implant coatings with optimized surface topography and chemistry can achieve favorable osteogenesis and inflammatory responses. In this work, to take advantage of micro/nano-topography and nutrient element Mg, atmosphere plasma spray and ...
Kai Li   +6 more
doaj   +1 more source

Sequestering atmospheric CO2 inorganically:a solution for Malaysia's CO2 emission [PDF]

open access: yes, 2018
Malaysia is anticipating an increase of 68.86% in CO2 emission in 2020, compared with the 2000 baseline, reaching 285.73 million tonnes. A major contributor to Malaysia's CO2 emissions is coal-fired electricity power plants, responsible for 43.4% of the ...
Aziz, Maniruzzaman A.   +5 more
core   +1 more source

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