In the past few years, great progress has been made in nonprecious metal catalysts, which hold potential as alternative materials to replace platinum proton exchange membrane fuel cells. One type of catalyst, Fe–N–C, displayed similar catalytic activity rotating disk electrode tests; however, rapid degradation Fe–N–C catalyst-based cells is always observed, limits its practical application. Although considerable research devoted study catalyst itself, rather less attention paid assembly that...

Resistive random access memory (RRAM) has been extensively studied as a promising candidate for neuromorphic computing. So far, high-precision multibit programming of RRAM systems is done cell-by-cell, which can be very time-consuming. This brief demonstrates row-by-row parallel program-verify scheme on fabricated 160-Kb array using the incremental gate voltage (IGVP) method. Statistical analysis indicates that optimal conductance tuning step size accelerate process and improve success rate....

The parallelism and analog computing features of neuromorphic systems bring great challenges in developing a compact model resistive random access memory (RRAM). In this article, we develop physics-based for RRAM devices crossbar array. Nonideal effects device, such as variability, I-V nonlinearity, programming nonlinearity asymmetry, tuning voltage sensitivity, are modeled verified with the statistical data measured from Modeling parallel-vector-matrix-multiplication weight update process...

In this paper, we propose a uniformly dithered 1-bit quantization scheme for high-dimensional statistical estimation. The contains truncation, dithering, and as typical steps. As canonical examples, the is applied to estimation problems of sparse covariance matrix estimation, linear regression (i.e., compressed sensing), completion. We study both sub-Gaussian heavy-tailed regimes, where underlying distribution data assumed have bounded moments some order. new estimators based on quantized...

Modern datasets often exhibit heavy-tailed behavior, while quantization is inevitable in digital signal processing and many machine learning problems. This paper studies the of data several fundamental statistical estimation problems where underlying distributions have bounded moments some order (no greater than 4). We propose to truncate properly dither prior a uniform quantization. Our major standpoint that (near) minimax rates error could be achieved by computationally tractable...

In this paper, we study color image inpainting as a pure quaternion matrix completion problem. the literature, theoretical guarantee for is not well established. Our main aim to propose new minimization problem with an objective combining nuclear norm and quadratic loss weighted among three channels. To fill vacancy, obtain error bound in both clean corrupted regimes, which relies on some results of matrices. A general Gaussian noise considered robust where all observations are corrupted....

Abstract Programming recurrent spiking neural networks (RSNNs) to robustly perform multi-timescale computation remains a difficult challenge. To address this, we describe single-shot weight learning scheme embed robust dynamics into attractor-based RSNNs, by exploiting the properties of high-dimensional distributed representations. We finite state machines RSNN superimposing symmetric autoassociative matrix and asymmetric transition terms, which are each formed vector binding an input...

The problem of recovering a signal <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$x \in \mathbb{R}^{n}$</tex-math></inline-formula> from quadratic system notation="LaTeX">$\{y_{i}=x^{⊤}\,A_{i}x,\,i=1,\dots,m\}$</tex-math></inline-formula> with full-rank matrices notation="LaTeX">$A_{i}$</tex-math></inline-formula> frequently arises in applications such as unassigned distance geometry and sub-wavelength...

The goal of phase-only compressed sensing is to recover a structured signal $\mathbf{x}$ from the phases $\mathbf{z} = {\rm sign}(\mathbf{\Phi}\mathbf{x})$ under some complex-valued matrix $\mathbf{\Phi}$. Exact reconstruction signal's direction possible: we can reformulate it as linear problem and use basis pursuit (i.e., constrained norm minimization). For $\mathbf{\Phi}$ with i.i.d. Gaussian entries, this paper shows that phase transition approximately located at statistical dimension...

The main aim of this paper is to study quaternion phase retrieval (QPR), i.e., the recovery signal from magnitude linear measurements. We show that all d-dimensional signals can be reconstructed up a global right factor <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">O</i> ( xmlns:xlink="http://www.w3.org/1999/xlink">d</i> ) phaseless also develop scalable algorithm Wirtinger flow (QWF) for solving QPR, and establish its convergence...

In this article, cactus-like hierarchical structures were fabricated via click chemistry of azide−alkyne 1,3-dipolar Huisgen cycloaddition reaction. It is convenient to control the size particulates and tune their surface roughness by adjusting cycles Dual-sized roughness, which biomimics topology sticky superhydrophobic gecko feet, originates from well-defined silica-based that are covalently bonded an alkynyl-treated substrate. After modification with fluorinated azobenzene, resulting...

Low-rank multivariate regression (LRMR) is an important statistical learning model that combines highly correlated tasks as a multiresponse problem with lowrank priori on the coefficient matrix.In this paper, we study quantized LRMR, practical setting where responses and/or covariates are discretized to finite precision.We focus estimation of underlying matrix.To make consistent estimator could achieve arbitrarily small error possible, employ uniform quantization random dithering, i.e., add...

An inorganic-framework proton exchange membrane with size-tunable 1D channels was developed for DMFCs to address the methanol crossover issue.

Abstract A novel benzoxazine containing maleimide and carboxylic moieties, 1‐[3‐(4‐carboxylphenyl)‐3,4‐dihydro‐2H‐benzo[e][1,3]‐oxazin‐6‐yl]maleimide (Mal‐Bz‐Co), was synthesized the structure identified by 1 H‐NMR FTIR. Mal‐Bz‐Co exhibited good solubility in common organic solvents. The cure behavior of cocure with o ‐cresol formaldehyde epoxy resin were investigated differential scanning calorimetry. Results indicated that showed a single curing exothermic peak at about 238.3°C. However,...

The thickness of the surface layer on both poly(methyl methacrylate) (PMMA) and polystyrene (PS) films was investigated by monitoring reorganization fluorinated tracer-labeled PMMA PS. Three different surface-sensitive techniques with various analytical depth capabilities were used, including contact angle (CA) measurements, sum-frequency generation (SFG) spectroscopy, angle-resolved X-ray photoelectron spectroscopy (XPS). results indicated that consisted a isoactive gradient its related to...

In recent years, the mathematical limits and algorithmic bounds for probabilistic group testing having become increasingly well-understood, with exact asymptotic thresholds now being known in general scaling regimes noiseless setting. noisy setting where each test outcome is flipped constant probability, there have been similar developments, but overall understanding has lagged significantly behind this paper, we substantially narrow gap by deriving under two widely-studied random designs:...