Results 231 to 240 of about 6,436,916 (343)

Hybrid Deep Learning Model for EI-MS Spectra Prediction. [PDF]

Int J Mol Sci
Majewski B, Łabuda M.
europepmc   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

A universal machine learning model for the electronic density of states.

Digit Discov
How WB, Febrer P, Chong S, Mazitov A, Bigi F, Kellner M, Pozdnyakov S, Ceriotti M.   +7 more
europepmc   +1 more source

A deep learning model for the diagnosis of gastric neuroendocrine carcinoma. [PDF]

Commun Med (Lond)
Zhu T, Zhao Z, Wang C, Zhang X, Zheng L, Chen W, Zhou Z, Liao Z, Huang Y, Cai M, Lai J.   +10 more
europepmc   +1 more source

Photoswitchable Conductive Metal–Organic Frameworks

Advanced Functional Materials, EarlyView.
A conductive material where the conductivity can be modulated remotely by irradiation with light is presented. It is based on films of conductive metal–organic framework type Cu3(HHTP)2 with embedded photochromic molecules such as azobenzene, diarylethene, spiropyran, and hexaarylbiimidazole in the pores.
Yidong Liu, Mersad Mostaghimi, Abhinav Chandresh, Saibal Jana, Wolfgang Wenzel, Lars Heinke   +5 more
wiley   +1 more source

Hybrid deep learning model for autism spectrum disorder diagnosis. [PDF]

Sci Rep
Aarthi D, Kannimuthu S.
europepmc   +1 more source

Advancing Electronic Application of Coordination Solids: Enhancing Electron Transport and Device Integration via Surface‐Mounted MOFs (SURMOFs)

Advanced Functional Materials, EarlyView.
The layer‐by‐layer (LbL) assembly of coordination solids, enabled by the surface‐mounted metal‐organic framework (SURMOF) platform, is on the cusp of generating the organic counterpart of the epitaxy of inorganics. The programmable and sequential SURMOF protocol, optimized by machine learning (ML), is suited for accessing high‐quality thin films of ...
Zhengtao Xu, Christof Wöll, Stefan Bräse   +2 more
wiley   +1 more source

Climate predictors of child undernutrition: Insights from a machine learning model. [PDF]

PLoS One
Essiam FAAP, Amoako M, Issah S, Biney M, Akuffo KO, Amekudzi LK.   +5 more
europepmc   +1 more source

3D (Bio) Printing Combined Fiber Fabrication Methods for Tissue Engineering Applications: Possibilities and Limitations

Advanced Functional Materials, EarlyView.
Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana, Indra Apsite, Leonid Ionov   +2 more
wiley   +1 more source

Encoding temporal and structural information in machine learning models for recommendation

, 2019
Tiphaine Viard, Raphaël Fournier-S’niehotta   +1 more
openalex   +1 more source