Results 1 to 10 of about 10,110,181 (372)

Cellulose Amphiphilic Materials: Chemistry, Process and Applications. [PDF]

open access: yesPharmaceutics, 2022
In the last decade, amphiphilic cellulose (AC) is emerging as attractive biomaterial for different therapeutic use, due to its unique chemical and physical properties.
Zuppolini S   +4 more
europepmc   +2 more sources

Recent Progress in Materials Chemistry to Advance Flexible Bioelectronics in Medicine. [PDF]

open access: yesAdv Mater, 2022
Designing bioelectronic devices that seamlessly integrate with the human body is a technological pursuit of great importance. Bioelectronic medical devices that reliably and chronically interface with the body can advance neuroscience, health monitoring,
Balakrishnan G   +3 more
europepmc   +2 more sources

Reducing the resistance for the use of electrochemical impedance spectroscopy analysis in materials chemistry. [PDF]

open access: yesRSC Adv, 2021
Electrochemical impedance spectroscopy (EIS) is a highly applicable electrochemical, analytical, and non-invasive technique for materials characterization, which allows the user to evaluate the impact, efficiency, and magnitude of different components ...
Laschuk NO, Easton EB, Zenkina OV.
europepmc   +2 more sources

Graph neural networks for materials science and chemistry [PDF]

open access: yesarXiv, 2022
Machine learning plays an increasingly important role in many areas of chemistry and materials science, e.g. to predict materials properties, to accelerate simulations, to design new materials, and to predict synthesis routes of new materials. Graph neural networks (GNNs) are one of the fastest growing classes of machine learning models.
Patrick Reiser   +10 more
arxiv   +3 more sources

Interpretable and Explainable Machine Learning for Materials Science and Chemistry [PDF]

open access: yes2022 Account of Materials Research, 2021
While the uptake of data-driven approaches for materials science and chemistry is at an exciting, early stage, to realise the true potential of machine learning models for successful scientific discovery, they must have qualities beyond purely predictive power.
Felipe Oviedo   +3 more
arxiv   +3 more sources

Does repeat synthesis in materials chemistry obey a power law? [PDF]

open access: yesProc Natl Acad Sci U S A, 2020
Significance A key goal of much chemistry and materials research is the creation of new chemicals or materials. Understanding how readily the synthesis of a material can be repeated gives important insight into how a material can be adopted by a ...
Agrawal M, Han R, Herath D, Sholl DS.
europepmc   +2 more sources

Strategies Based on Nitride Materials Chemistry to Stabilize Li Metal Anode. [PDF]

open access: yesAdv Sci (Weinh), 2017
Lithium metal battery is a promising candidate for high‐energy‐density energy storage. Unfortunately, the strongly reducing nature of lithium metal has been an outstanding challenge causing poor stability and low coulombic efficiency in lithium batteries.
Zhu Y, He X, Mo Y.
europepmc   +2 more sources

Expanding frontiers in materials chemistry and physics with multiple anions. [PDF]

open access: yesNat Commun, 2018
Kageyama H   +6 more
europepmc   +2 more sources

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