Results 131 to 140 of about 86,959 (305)

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

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

Advances in Sustainable and Wearable Textile Based Soft Robotics

Advanced Functional Materials, EarlyView.
This Review examines advances in wearable textile‐based soft robotics, focusing on sustainable materials, integrated sensing, and scalable actuation. It discusses manufacturing and system integration across healthcare, assistive robotics, prosthetics, and human–machine interfaces, and highlights key challenges in circular design, including life‐cycle ...
Zahir Abbas, Marzia Dulal, Sophia K. Novoselov, Victoria K. Novoselov, Kostya S. Novoselov, Shaila Afroj, Nazmul Karim   +6 more
wiley   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

Advanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon, Taewon Lee, Dohyeong Kim, Sungmin Hwang, Sungjoon Kim   +4 more
wiley   +1 more source

Consensus Decision Making in Random Forests

, 2015
The applications of Random Forests, an ensemble learner, are investigated in different domains including malware classification. Random Forests uses the majority rule for the outcome, however, a decision from the majority rule faces different challenges ...
Raja Khurram Shahzad, Niklas Lavesson, Mehwish, Fatima,, Boldt, Martin,, Shahzad, Raja Khurram,, Mehwish Fatima, Martin Boldt, Lavesson, Niklas,, Mehwish, Fatima   +8 more
core   +1 more source

Structure‐Guided Dynamical Mechanics in Bioinspired Double Twisted Laminated Thin Films

Advanced Functional Materials, EarlyView.
This work explores a dynamic mechanistic study of crack propagation and puncture testing via real‐time monitoring of crack initiation, propagation, and termination through nature‐inspired single and double twisted architectures fabricated from cellulose nanocrystals.
Justin Brackenridge, Olivia Harper, Jaejun Lee, Sergio Gonzalez‐Munoz, Vladimir V. Tsukruk   +4 more
wiley   +1 more source

Distinguishing Orbiting and Infalling Dark Matter Particles with Machine Learning

The Astrophysical Journal
Dark matter halos are typically defined as spheres that enclose some overdensity, but these sharp, somewhat arbitrary boundaries introduce nonphysical artifacts such as backsplash halos, pseudo-volution, and an incomplete accounting of halo mass.
Ze’ev Vladimir, Calvin Osinga, Benedikt Diemer, Edgar M. Salazar, Eduardo Rozo   +4 more
doaj   +1 more source

Developing a discrimination rule between breast cancer patients and controls using proteomics mass spectrometric data: A three-step approach

, 2008
To discriminate between breast cancer patients and controls, we used a three-step approach to obtain our decision rule. First, we ranked the mass/charge values using random forests, because it generates importance indices that take possible interactions ...
Nagelkerke, N., Heidema, A.G.
core   +1 more source

Wood Cellulosic Membrane With Abundant Nanochannels for Stabilizing Aqueous Zn‐Ion Batteries

Advanced Functional Materials, EarlyView.
A wood‐derived cellulosic membrane separator is developed to suppress dendrite growth in aqueous zinc‐ion batteries. Its aligned nanochannels and hydroxyl‐rich surfaces enable uniform Zn2+ flux, water immobilization, and interfacial stabilization. Zn||Zn cells achieve 1920 h of cycling, Zn||Cu cells maintain 99.5% Coulombic efficiency over 1000 cycles,
Song Wei, Yunpeng Zhong, Ruwei Chen, Shanshan Jia, Hongping Dong, Zhen Zhang, Lei Li, Yiqiang Wu, Guanjie He   +8 more
wiley   +1 more source

Roughened Random Forests for Binary Classification

, 2014
Binary classification plays an important role in many decision-making processes. Random forests can build a strong ensemble classifier by combining weaker classification trees that are de-correlated.
Xiong, Kuangnan
core   +2 more sources