Results 81 to 90 of about 88,242 (260)

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source

Analysis of Different Statistical Models in Probabilistic Joint Estimation of Porosity and Litho-Fluid Facies from Acoustic Impedance Values

Geosciences, 2018
We discuss the influence of different statistical models in the prediction of porosity and litho-fluid facies from logged and inverted acoustic impedance (Ip) values.
Mattia Aleardi
doaj   +1 more source

Electrode and Microstructure Dependence of Oxygen Diffusion in Ferroelectric Hafnium Zirconium Oxide Thin Films

Advanced Functional Materials, EarlyView.
Significant nanoscale oxygen diffusion coefficient variations are measured in ferroelectric hafnium zirconium oxide films with grain boundaries and electrode interfaces exhibiting values 104 times larger than the grain cores. Overall coefficients are 10X larger for films prepared with metal nitride electrodes compared to refractory metals. New insights
Liron Shvilberg, Thomas W. Pfeifer, Chuanzhen Zhou, Yong Kyu Choi, Duk‐Hyun Choe, Patrick E. Hopkins, Jon F. Ihlefeld   +6 more
wiley   +1 more source

Exciton Binding Energy of Phosphorescent Emitter Molecules in Organic Light‐Emitting Diodes

Advanced Functional Materials, EarlyView.
Energy level alignment is key to efficient OLED design, yet determining LUMO energies remains challenging. A methodology based on field‐induced dissociation and kinetic Monte Carlo simulations is presented to extract LUMO energies of iridium‐based phosphorescent emitters from their exciton binding energy.
Hiroki Tomita, Lucas R. L. Norg, Patrick Diederen, Clint van Hoesel, Christ H. L. Weijtens, Peter A. Bobbert, Reinder Coehoorn   +6 more
wiley   +1 more source

Microfabricated Anisotropic Myobundles for the Scalable Production of Cardiac Tissue Grafts

Advanced Functional Materials, EarlyView.
Controlling the anisotropy of cardiac tissue remains an outstanding challenge in the field of cardiac tissue engineering. Here, we introduce an approach to generate anisotropic cardiac myobundles using cell‐adhesive, synthetic, electrospun fibers and stem cell‐derived cardiac fibroblasts.
Maggie E. Jewett, Javiera Jilberto, Margaret E. Stanley, David O. Ntim, Siddhi M. Bhirud, Avianna T. Schroeder, Gonzola X. Anyosa Galvez, Jingyi Xia, Samuel J. DePalma, Emmanouil Agrafiotis, Susan S. Xi, Amanda S. Bluem, Courtney M. Lestock, Adam S. Helms, David A. Nordsletten, Brendon M. Baker   +15 more
wiley   +1 more source

Positive Data Modeling Using a Mixture of Mixtures of Inverted Beta Distributions

IEEE Access, 2019
Finite mixture models based on the symmetric Gaussian distribution have been applied broadly in data analysis. However, not all the data in real-world applications can be safely supposed to have a symmetric Gaussian form.
Yuping Lai, Xiu Ma, Yanping Xu, Yongfa Ling, Chunlai Du, Jianhe Du, Yongmei Zhang, Yuan Ping   +7 more
doaj   +1 more source

Hard-Clustering with Gaussian Mixture Models

CoRR, 2016
Training the parameters of statistical models to describe a given data set is a central task in the field of data mining and machine learning. A very popular and powerful way of parameter estimation is the method of maximum likelihood estimation (MLE). Among the most widely used families of statistical models are mixture models, especially, mixtures of
Johannes Blömer, Sascha Brauer, Kathrin Bujna   +2 more
openaire   +2 more sources

Magnetic‐Field Control of Surface States in CoFe2O4 Thin Films for Nitrate Electroreduction to Ammonia

Advanced Functional Materials, EarlyView.
Magnetic‐field‐assisted CVD of heterometallic single‐source precursors modulates thin‐film surface electronic structure and interfacial charge transfer. Field‐grown (Cobalt ferrite‐1T)CF‐1T films exhibit stabilized electronic states, lower kinetic barriers, and markedly enhanced nitrate‐to‐ammonia electrocatalysis versus (Cobalt ferrite‐0T) CF‐0T ...
Touraj Karimpour, Younes Mousazade, Simon Diel, Shilendra Kumar Sharma, Tisita Das, Nathália C. Verissimo, Thomas Fischer, Ziyaad Aytuna, Andreas Lichtenberg, Sudip Chakraborty, Marcel Risch, Sanjay Mathur   +11 more
wiley   +1 more source

Ultrasmall High‐Entropy Materials: Nanoscale Effects, Synthesis, and Mechanistic Insights

Advanced Functional Materials, EarlyView.
This review article focuses on sub‐10 nm high‐entropy materials that combine nanoscale design with complex compositions for next‐generation applications. ABSTRACT Ultrasmall high‐entropy nanomaterials (USHENMs, <10 nm) merge multicomponent chemistry with size‐dependent effects, forming a distinct class of materials with unprecedented properties.
Yueyue He, Wenbo Wang, Simon Schweidler, Yanjiao Ma, Ben Breitung, Torsten Brezesinski   +5 more
wiley   +1 more source

Pickering‐Engineered Microparticles for Magnetically Guided Motion and Light‐Triggered Catalysis

Advanced Functional Materials, EarlyView.
Magnetically responsive wax microparticles stabilized by hematite cubes through the Pickering emulsification strategy are developed, showing controlled size, motion, and light‐activated catalytic activity. Annealing under a magnetic field enhances their mobility and steering.
Chiara Ferlito, Ludovico Guercio, Giuseppe Cavallaro, Giuseppe Lazzara, Theodore Hueckel, Lorenzo Lisuzzo, Stefano Sacanna   +6 more
wiley   +1 more source