Results 141 to 150 of about 1,721 (176)

Encyclopedia of 2D β′‐In2Se3 Growth Using Chemical Vapor Deposition: The Effects of Synthesis Parameters Onto Material Quality

Advanced Engineering Materials, EarlyView.
A distinct semi‐confined inner‐tube chemical vapor deposition geometry enables reproducible, large‐area growth of phase‐pure 2D β′‐In2Se3 from InI + Se precursors. Engineering local vapor transport and optimizing precursor delivery and temperature–time conditions yield uniform continuous films.
Dasun P. W. Guruge, P. Sanju S. Panawala, Joseph F. S. Fernando, Zhenhuan Chen, Chao Zhang, Dong‐Chen Qi, Liangzhi Kou, Konstantin L. Firestein, Dmitri V. Golberg   +8 more
wiley   +1 more source

Hypergraph clustering for analyzing chronic disease patterns in mild cognitive impairment reversion and progression. [PDF]

Sci Rep
Garg M, Liu X, Jeon E, Vassilaki M, Petersen RC, Sauver JS, Sohn S.   +6 more
europepmc   +1 more source

Influence of Surface Finish on the Tribological Performance of AlTiBN Coatings Deposited on Forming Tools

Advanced Engineering Materials, EarlyView.
Aluminum and nitride coatings are used in industry because they are hard, resist wear, and protect against oxidation. Adding boron can improve friction behavior and other properties. This study tests coatings on surfaces with different finishes. Results show smoother surfaces perform better, while rough ones wear faster, although coatings can reduce ...
Adrián Claver, Iker Alfonso, Eneko Barba, Javier León, José Antonio García, Iñaki Zalakain, Iván Fernández Martínez, Arley García‐Carrero, Christian Almeyda, Daniel Salcedo   +9 more
wiley   +1 more source

nuTCRacker: Predicting the Recognition of HLA-I-Peptide Complexes by αβTCRs for Unseen Peptides. [PDF]

Eur J Immunol
Barton J, Gore T, Phanichkrivalkosil M, Shepherd A, Mishto M.   +4 more
europepmc   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

All-at-once RNA folding with 3D motif prediction framed by evolutionary information. [PDF]

Nat Methods
Karan A, Rivas E.
europepmc   +1 more source

Designing Polymer Nanocomposites for X‐Ray Shielding: Mechanisms, Architectures, and Scalable Processing

Advanced Engineering Materials, EarlyView.
This review highlights advances in lightweight, lead‐free polymer nanocomposites for diagnostic X‐ray shielding. By linking filler chemistry, dispersion, architecture, and photon interaction mechanisms, it establishes structure–performance relationships guiding material design.
Aklilu G. Messele, Hossein Ipakchi, Tizazu H. Mekonnen   +2 more
wiley   +1 more source

A Multi-Input Neural Network Model for Accurate MicroRNA Target Site Detection. [PDF]

Noncoding RNA
Mohebbi M, Manzourolajdad A, Bennett E, Williams P.   +3 more
europepmc   +1 more source

Precipitation Simulations of the O‐Phase in Ti2AlNb Alloys Processed by Laser Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Simulated and experimental evolution of the O‐phase volume fraction during postprocessing of a Ti‐21Al‐25Nb (at.%) alloy processed by laser powder bed fusion. With results of sensitivity to input parameters from a thorough and quantified analysis, the interfacial energy matrix/precipitate is the most relevant input parameter for the simulation of the O‐
Silvana Tumminello, Joachim Gussone, Suzana G. Fries, Marcus Rackel, Andreas Stark, Norbert Schell, Jan Haubrich, Guillermo Requena   +7 more
wiley   +1 more source

A deep learning method to predict bacterial ADP-ribosyltransferase toxins. [PDF]

Bioinformatics
Zheng D, Zhou S, Chen L, Pang G, Yang J.
europepmc   +1 more source