Results 111 to 120 of about 4,818,434 (320)

Ab initio study of the modification of elastic properties of alpha-iron by hydrostatic strain and by hydrogen interstitials

, 2011
The effect of hydrostatic strain and of interstitial hydrogen on the elastic properties of $\alpha$-iron is investigated using \textit{ab initio} density-functional theory calculations.
Acet, Adams, Barnoush, Barron, Beachem, Becquart, Beshers, Birch, Birnbaum, Blöchl, Blöchl, Bockris, Buck, Caspersen, Cerny, Clatterbuck, Clouet, Cottrell, D. Psiachos, Daw, Gavriljuk, Guinan, Hammerschmidt, Herper, Hill, Hirth, Hirth, Hull, Jiang, Kimizuka, Kirchheim, Klotz, Kresse, Kresse, Kresse, Kresse, Leung, Lunarska, Ma, Marcus, Marcus, Matsui, Mehl, Murakami, Murnaghan, Novak, Oriani, Oriani, Ortiz, Perdew, Perdew, R. Drautz, Ramasubramaniam, Rayne, Robertson, Sanchez, Sanchez, Sha, Sha, Singh, Speich, Stixrude, Söderlind, T. Hammerschmidt, Taketomi, Taketomi, Tateyama, Tateyama, Troiano, Turley, Vocadlo, Vosko, Wang, Zhang   +73 more
core   +1 more source

Hybrid Auxetic Architectures: Integrating Curvature‐Driven Design for Enhanced Mechanical Tunability and Structural Performance

Advanced Engineering Materials, EarlyView.
Curvature‐tuned auxetic lattices are designed, fabricated, and mechanically characterized to reveal how geometric curvature governs stretchability, stress redistribution, and Poisson's ratio evolution. Photoelastic experiments visualize stress pathways, while hyperelastic simulations quantify deformation mechanics.
Shuvodeep De, Giovanni Meli, Meysam Khaleghian, Anahita Emami   +3 more
wiley   +1 more source

Advancing Research on Biomaterials and Biological Materials with Scanning Electron Microscopy under Environmental and Low Vacuum Conditions

Advanced Engineering Materials, EarlyView.
Herein, environmental scanning electron microscopy (ESEM) is discussed as a powerful extension of conventional SEM for life sciences. By combining high‐resolution imaging with variable pressure and humidity, ESEM allows the analysis of untreated biological materials, supports in situ monitoring of hydration‐driven changes, and advances the functional ...
Jendrian Riedel, Lea Dierker, Antoine Eyram Kwame, Kim Nora Wagner, Jonas J. Unterholzner, Jan‐Henning Dirks, Dorothea Brüggemann   +6 more
wiley   +1 more source

Local-Scale Cereal Yield Forecasting in Italy: Lessons from Different Statistical Models and Spatial Aggregations

Agronomy, 2020
Statistical, data-driven methods are considered good alternatives to process-based models for the sub-national monitoring of cereal crop yields, since they can flexibly handle large datasets and can be calibrated simultaneously to different areas.
David García-León, Raúl López-Lozano, Andrea Toreti, Matteo Zampieri   +3 more
doaj   +1 more source

Regularized Ordinal Regression and the ordinalNet R Package

, 2017
Regularization techniques such as the lasso (Tibshirani 1996) and elastic net (Zou and Hastie 2005) can be used to improve regression model coefficient estimation and prediction accuracy, as well as to perform variable selection.
Hanlon, Bret M., Rathouz, Paul J., Wurm, Michael J.   +2 more
core  

Pathwise Least Angle Regression and a Significance Test for the Elastic Net

, 2017
Least angle regression (LARS) by Efron et al. (2004) is a novel method for constructing the piece-wise linear path of Lasso solutions. For several years, it remained also as the de facto method for computing the Lasso solution before more sophisticated ...
efron, friedman, hastie, tibshirani
core   +1 more source

Multimodal Mechanical Testing of Additively Manufactured Ti6Al4V Lattice Structures: Compression, Bending, and Fatigue

Advanced Engineering Materials, EarlyView.
In this experimental study, the mechanical properties of additively manufactured Ti‐6Al‐4V lattice structures of different geometries are characterized using compression, four point bending and fatigue testing. While TPMS designs show superior fatigue resistance, SplitP and Honeycomb lattice structures combine high stiffness and strength. The resulting
Klaus Burkart, Jonas Schmidt, Anastasiya Toenjes, Johanna Eisenträger   +3 more
wiley   +1 more source

A Fused Elastic Net Logistic Regression Model for Multi-Task Binary Classification [PDF]

, 2013
Multi-task learning has shown to significantly enhance the performance of multiple related learning tasks in a variety of situations. We present the fused logistic regression, a sparse multi-task learning approach for binary classification. Specifically,
Claassen, Manfred, Mitov, Venelin
core  

Manufacturing Continuous Fiber‐Reinforced Printing Filaments: Development of a Post‐Consolidation Unit

Advanced Engineering Materials, EarlyView.
A novel, temperature‐controlled post‐consolidation unit is developed to test its potential to improve the melt impregnation process used to manufacture continuous fiber‐reinforced filaments for additive manufacturing of high‐performance thermoplastics.
Daniel Beermann, Patrick Schiebel, David May   +2 more
wiley   +1 more source

Sparsity-accuracy trade-off in MKL [PDF]

, 2009
We empirically investigate the best trade-off between sparse and uniformly-weighted multiple kernel learning (MKL) using the elastic-net regularization on real and simulated datasets.
Suzuki, Taiji, Tomioka, Ryota
core