Results 21 to 30 of about 9,529,278 (349)

Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science

open access: yesAAAI Conference on Artificial Intelligence, 2021
Automatic Feature Engineering (AFE) aims to extract useful knowledge for interpretable predictions given data for the machine learning tasks. Here, we develop AFE to extract dependency relationships that can be interpreted with functional formulas to ...
Ziyu Xiang   +7 more
semanticscholar   +1 more source

Lithium hexamethyldisilazide as electrolyte additive for efficient cycling of high-voltage non-aqueous lithium metal batteries

open access: yesNature Communications, 2022
High-voltage non-aqueous lithium metal batteries suffer from poor cycling stability due to the presence of impurities in the electrolyte solution. Here, the authors report lithium hexamethyldisilazide to scavenge HF and H2O, prevent the Ni dissolution ...
Danfeng Zhang   +14 more
doaj   +1 more source

Hot compression behaviour and microstructural evolution in aluminium based composites: an assessment of the role of reinforcements and deformation parameters

open access: yesManufacturing Review, 2021
The response of two different types of aluminium matrix composites (AMCs) reinforced with silicon carbide ceramic particulates or nickel metallic particulates to hot compression testing parameters was evaluated.
Babalola Saheed Adeoye   +5 more
doaj   +1 more source

Prospects of engine building transformation to the hydrogen-containing fuel [PDF]

open access: yesMATEC Web of Conferences, 2021
Promising developments in the field of engine building, associated with increasing of natural gas usage as a motor fuel for internal combustion engines (ICE), are presented. Technology of hydrogen-containing fuel composition forming created.
Barelko Viktor   +4 more
doaj   +1 more source

RuO2 electronic structure and lattice strain dual engineering for enhanced acidic oxygen evolution reaction performance

open access: yesNature Communications, 2022
While water splitting in acid offers higher operational performances than in alkaline conditions, there are few high-activity, acid-stable oxygen evolution electrocatalysts.
Yin Qin   +13 more
doaj   +1 more source

Mining experimental data from materials science literature with large language models: an evaluation study [PDF]

open access: yesScience and Technology of Advanced Materials: Methods
This study is dedicated to assessing the capabilities of large language models (LLMs) such as GPT-3.5-Turbo, GPT-4, and GPT-4-Turbo in extracting structured information from scientific documents in materials science.
Luca Foppiano   +3 more
semanticscholar   +1 more source

Oxygen Reduction Activity and Interfacial Structures of La0.8Sr0.2CoO3 at Initial Electrochemical Process in an Alkaline Solution

open access: yesElectrochemistry, 2022
Oxygen reduction and evolution reactions (ORR and OER, respectively) of perovskite-type La0.8Sr0.2CoO3 were characterized using two-dimensional model electrodes with different reaction planes (001), (110), and (111).
Akira MATSUZAKI   +8 more
doaj   +1 more source

Anti-Aging and Lightening Effects of Au-Decorated Zeolite-Based Biocompatible Nanocomposites in Epidermal Delivery Systems

open access: yesJournal of Functional Biomaterials, 2023
The main challenges in developing zeolites as cosmetic drug delivery systems are their cytotoxicities and the formation of drug-loading pore structures.
Seungyeon Lee   +7 more
doaj   +1 more source

Roadmap on data-centric materials science [PDF]

open access: yesModelling and Simulation in Materials Science and Engineering
Science is and always has been based on data, but the terms ‘data-centric’ and the ‘4th paradigm’ of materials research indicate a radical change in how information is retrieved, handled and research is performed.
Stefan Bauer   +56 more
semanticscholar   +1 more source

Operando analysis of electronic band structure in an all-solid-state thin-film battery

open access: yesCommunications Chemistry, 2022
The electronic structure evolution within a battery during cycling can provide crucial cues for its optimization, but insights on operando band structures are extremely challenging to obtain.
Kazuhiro Hikima   +7 more
doaj   +1 more source

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