Results 61 to 70 of about 50,039 (279)

Block Copolymers: Emerging Building Blocks for Additive Manufacturing

Advanced Functional Materials, EarlyView.
This review addresses how block copolymer (BCP) physics and rheology have led to the widespread use of BCPs in advanced additive manufacturing techniques, with particular emphasis on the untapped potential of these nanostructured materials toward achieving multi‐scale architected materials with unique, programmable material properties.
Alice S. Fergerson, Hemish B. Thakkar, Jiaen Wu, Emily C. Davidson   +3 more
wiley   +1 more source

On variational solutions for whole brain serial-section histology using a Sobolev prior in the computational anatomy random orbit model.

PLoS Computational Biology, 2018
This paper presents a variational framework for dense diffeomorphic atlas-mapping onto high-throughput histology stacks at the 20 μm meso-scale. The observed sections are modelled as Gaussian random fields conditioned on a sequence of unknown section by ...
Brian C Lee, Daniel J Tward, Partha P Mitra, Michael I Miller   +3 more
doaj   +1 more source

Solution of optimal power flow problems using moment relaxations augmented with objective function penalization [PDF]

2015 54th IEEE Conference on Decision and Control (CDC), 2015
8 pages, 1 figure, to appear in IEEE 54th Annual Conference on Decision and Control (CDC), 15-18 December ...
Molzahn, Daniel K., Josz, Cédric, Hiskens, Ian A., Panciatici, Patrick   +3 more
openaire   +2 more sources

Suppression of Photo‐Mediated Traps in Integrated Organic Photovoltaic–Photodetector Devices via N‐Type Self‐Assembly‐Driven Interfacial Engineering

Advanced Functional Materials, EarlyView.
Conventional unstable electron transport layers (ETLs) limit self‐powered organic sensors. This work resolves this by developing a n‐type self‐assembled monolayer (SAM), “3‐PAPh”. This SAM forms a chemically stable and structurally ordered interface that fundamentally suppresses defect formation.
Ohhyun Kwon, Jae Hoon Son, Tae Hyuk Kim, Gyeong Min Lee, Seunghyun Oh, Gayoung Ham, Min Jong Lee, Sang Heon Lee, Seon Joong Kim, Hyojung Cha, Han Young Woo, Jae Won Shim   +11 more
wiley   +1 more source

Optimization of Collaborative Vessel Scheduling for Offshore Wind Farm Installation Under Weather Uncertainty

Journal of Marine Science and Engineering
The construction cost of offshore wind farms (OWFs) is heavily influenced by vessel scheduling and meteorological uncertainties. To address these challenges, this paper proposes a constraint-driven hierarchical optimization framework for the coordinated ...
Shengguan Qu, Changmao Yu, Yang Zhou, Yi Hou, Jianhua Wang, Fenglei Li   +5 more
doaj   +1 more source

Simulated Data for Linear Regression with Structured and Sparse Penalties: Introducing pylearn-simulate

Journal of Statistical Software, 2018
A currently very active field of research is how to incorporate structure and prior knowledge in machine learning methods. It has lead to numerous developments in the field of non-smooth convex minimization. With recently developed methods it is possible
Tommy Löfstedt, Vincent Guillemot, Vincent Frouin, Edouard Duchesnay, Fouad Hadj-Selem   +4 more
doaj   +1 more source

Semismooth Newton Coordinate Descent Algorithm for Elastic-Net Penalized Huber Loss Regression and Quantile Regression

, 2016
We propose an algorithm, semismooth Newton coordinate descent (SNCD), for the elastic-net penalized Huber loss regression and quantile regression in high dimensional settings.
Huang, Jian, Yi, Congrui
core   +2 more sources

Artificial Intelligence as the Next Visionary in Liquid Crystal Research

Advanced Functional Materials, EarlyView.
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam, Ouassim L'Karkouri, Danqing Liu   +2 more
wiley   +1 more source

Low-Dose CT Image Reconstruction With a Deep Learning Prior

IEEE Access, 2020
In low-dose computed tomography (LDCT), a penalized weighted least squares (PWLS) approach that incorporates the Poisson statistics of X-ray photons can significantly reduce excessive quantum noise.
Hyoung Suk Park, Kyungsang Kim, Kiwan Jeon   +2 more
doaj   +1 more source

Positive Definite $\ell_1$ Penalized Estimation of Large Covariance Matrices [PDF]

, 2012
The thresholding covariance estimator has nice asymptotic properties for estimating sparse large covariance matrices, but it often has negative eigenvalues when used in real data analysis.
Ma, Shiqian, Xue, Lingzhou, Zou, Hui
core