Results 71 to 80 of about 166,464,526 (278)

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Autofocused compressive SAR imaging based on the alternating direction method of multipliers [PDF]

, 2017
We present an alternating direction method of multipliers (ADMM) based autofocused Synthetic Aperture Radar (SAR) imaging method in the presence of unknown 1-D phase errors in the phase history domain, with undersampled measurements.
Çetin, Müjdat, Mujdat Cetin, H. Emre Guven, Güngör, Alper, Güven, Emre H., Alper Gungor   +5 more
core   +1 more source

Can Elastomers Combine Stiffness, Toughness and Fatigue Resistance?

Advanced Materials, EarlyView.
This review studies how the molecular and macroscopic architecture of elastomers influence their mechanical properties including: stiffness, stretchability, toughness, fatigue resistance, and damping behavior. By linking the structure to performance, it proposes design principles for advanced elastomeric systems that combine mechanical properties ...
Eva Baur, Esther Amstad
wiley   +1 more source

Transient Cytoskeletal Anisotropy Encodes Short‐Term Mechanical Memory in Glioblastoma Cells

Advanced Materials, EarlyView.
The same mechanical deformation can produce distinct cytoskeletal states depending on loading history. Experiments and constitutive modeling reveal that transient actin–vimentin anisotropy stores mechanical information and governs short‐term mechanical memory in glioblastoma cells.
Clara Gomez‐Cruz, Matthieu Gelin, Lucas Pradeau‐Phélut, Arrate Muñoz‐Barrutia, Sandrine Etienne‐Manneville, Daniel Garcia‐Gonzalez   +5 more
wiley   +1 more source

Learning Bayesian Networks via the Alternating Direction Method of Multipliers [PDF]

, 2015
This thesis develops a fast splitting method for estimating Gaussian Bayesian networks from observational data. In Bayesian network, the directed acyclic graph (DAG) structure is used to represent the causal interactions of the variables.
Li, Jinchao
core  

A Proximal Point Analysis of the Preconditioned Alternating Direction Method of Multipliers

, 2017
We study preconditioned algorithms of alternating direction method of multipliers type for nonsmooth optimization problems. The alternating direction method of multipliers is a popular first-order method for general constrained optimization problems ...
Sun, Hongpeng, Bredies, Kristian, Hongpeng Sun, Kristian Bredies   +3 more
core   +1 more source

Fast-converging decentralized alternating direction method of multipliers for consensus optimization

EURASIP Journal on Advances in Signal Processing
For its well-established convergence properties, simplicity, and applicability to various optimization problems, the alternating direction method of multipliers (ADMM) has been at the center of several research fields.
Jeannie He, Ming Xiao, Mikael Skoglund
doaj   +1 more source

Compression of Deep-Learning Models Through Global Weight Pruning Using Alternating Direction Method of Multipliers

International Journal of Computational Intelligence Systems, 2023
Deep learning has shown excellent performance in numerous machine-learning tasks, but one practical obstacle in deep learning is that the amount of computation and required memory is huge.
Kichun Lee, Sunghun Hwangbo, Dongwook Yang, Geonseok Lee   +3 more
doaj   +1 more source

An Alternating Direction Method of Multipliers for Topology Optimization

CoRR
We consider a class of integer-constrained optimization problems governed by partial differential equation (PDE) constraints and regularized via total variation (TV) in the context of topology optimization. The presence of discrete design variables, nonsmooth regularization, and non-convex objective renders the problem computationally challenging.
Harsh Choudhary, Sven Leyffer, Dominic Yang   +2 more
openaire   +3 more sources

TESCLA: A Fully Soft Electromagnetic Linear Actuator With Continuous Bending Enabled by Liquid‐Metal Solenoids

Advanced Materials, EarlyView.
TESCLA (tubular electromagnetic soft conformal linear actuator) combines liquid‐metal solenoids and compliant magnetic composites to achieve large‐stroke bidirectional actuation with continuous bending. Integrated inductance‐based self‐sensing enables proprioceptive position estimation without external sensors, providing a versatile platform for soft ...
Yeongjin Choi, Jeongnam Kim, Seongjun Koh, Yong‐Lae Park   +3 more
wiley   +1 more source