Abstract Graphene is a two-dimensional material that offers unique combination of low density, exceptional mechanical properties, large surface area and excellent electrical conductivity. Recent progress has produced bulk 3D assemblies graphene, such as graphene aerogels, but they possess purely stochastic porous networks, which limit their performance compared with the potential an engineered architecture. Here we report fabrication periodic aerogel microlattices, possessing architecture...

Graphene is an atomically thin, two-dimensional (2D) carbon material that offers a unique combination of low density, exceptional mechanical properties, thermal stability, large surface area, and excellent electrical conductivity. Recent progress has resulted in macro-assemblies graphene, such as bulk graphene aerogels for variety applications. However, these three-dimensional (3D) graphenes exhibit physicochemical property attenuation compared to their 2D building blocks because one-fold...

We demonstrate a novel preparation method for the formation of metallic nanowires from gold, platinum, and silver using mesoporous silica SBA-15 as template. controls size growth direction also prevents bulk aggregation metal. Nanowires can be isolated framework by treatment with HF.

We have investigated the phase transition between two distinct mesoporous silicas: SBA-15, comprising a hexagonally packed arrangement of cylindrical pores (6−12 nm in diameter), and mesocellular silica foams (MCF), consisting spherical voids (22−42 diameter) interconnected by "windows" ∼10 nm. Both SBA-15 MCF are formed using an amphiphilic triblock copolymer (Pluronic P123) as template. The synthesis conditions for materials identical, except substantial trimethylbenzene is added to form...

Given the emergence of data science and machine learning throughout all aspects society, but particularly in scientific domain, there is increased importance placed on obtaining data. Data materials are heterogeneous, based significant range classes that explored variety properties interest. This leads to many orders magnitude, these may manifest as numerical text or image-based information, which requires quantitative interpretation. The ability automatically consume codify literature...

Nucleation in the natural world often occurs presence of organic interfaces. In mineralized tissues, a range macromolecular matrices are found contact with inorganic phases and believed to direct mineral formation. geochemical settings, surfaces, which covered or biological films, surround volume within nucleation occurs. classical picture nucleation, such interfaces is expected have profound effect on rates, simply because they can reduce interfacial free energy, controls height...

Low-density metal foams have many potential applications in electronics, energy storage, catalytic supports, fuel cells, sensors, and medical devices. Here, we report a new method for fabricating ultralight, conductive silver aerogel monoliths with predictable densities using nanowires. Silver nanowire building blocks were prepared by polyol synthesis purified selective precipitation. aerogels produced freeze-casting aqueous suspensions followed thermal sintering to weld the junctions....

Abstract Despite ML’s impressive performance in commercial applications, several unique challenges exist when applying ML materials science applications. In such a context, the contributions of this work are twofold. First, we identify common pitfalls existing techniques learning from underrepresented/imbalanced material data. Specifically, show that with imbalanced data, standard methods for assessing quality models break down and lead to misleading conclusions. Furthermore, find model’s...

Abstract Machine learning models are increasingly used in materials studies because of their exceptional accuracy. However, the most accurate machine usually difficult to explain. Remedies this problem lie explainable artificial intelligence (XAI), an emerging research field that addresses explainability complicated like deep neural networks (DNNs). This article attempts provide entry point XAI for scientists. Concepts defined clarify what explain means context science. Example works...

ADVERTISEMENT RETURN TO ISSUEPREVCommunicationNEXTMesoporous Silicate Sequestration and Release of ProteinsYong-Jin Han, Galen D. Stucky, Alison ButlerView Author Information Department Chemistry Biochemistry the Materials Research Laboratory University California Santa Barbara, 93106-9510 Cite this: J. Am. Chem. Soc. 1999, 121, 42, 9897–9898Publication Date (Web):October 13, 1999Publication History Received23 June 1999Published online13 October inissue 1...

This work demonstrates a method for inducing site-specific nucleation and subsequent growth of large oriented organic semiconductor single crystals using micropatterned self-assembled monolayers (SAMs). We demonstrate oriented, patterned, potential use in electronic devices. The control over multiple parameters system has not yet been reported. ability to various aspects crystal one provides powerful technique the bottom-up fabrication single-crystal

We show how to fabricate three basic photonic crystal structures with simple cubic, fcc, and bcc translational symmetry by interference lithography. The are fabricable the of beams launched from same half space. cubic structure is size scalable while fcc possesses two band gaps. Both these experimentally realized.

Abstract Recent ex situ observations of crystallization in both natural and synthetic systems indicate that the classical models nucleation growth are inaccurate. However, can provide direct evidence for alternative have been lacking due to limited temporal spatial resolution experimental techniques observe dynamic processes a bulk solution. Here we report results from liquid cell transmission electron microscopy studies Au, CaCO 3 , iron oxide nanoparticles. We show how these data be used...

A comprehensive framework to automatically perform size and morphology recognition of nanoparticles in SEM images a high-throughput manner.

The combined effect of templating and solution additives on calcite crystallization was studied. Self-assembled monolayers mercaptoundecanoic acid supported silver, as templates, induced the uniform, oriented nucleation from (012) plane. presence Mg2+ in crystallizing affected crystal growth dramatically, due to selective Mg binding planes roughly parallel c-axis. Highly homogeneous arrays crystals with characteristic sizes, shapes, morphology, depending relative concentration Ca ions, were...

This paper studies the problem of post-hoc calibration machine learning classifiers. We introduce following desiderata for uncertainty calibration: (a) accuracy-preserving, (b) data-efficient, and (c) high expressive power. show that none existing methods satisfy all three requirements, demonstrate how Mix-n-Match strategies (i.e., ensemble composition) can help achieve remarkably better data-efficiency power while provably maintaining classification accuracy original classifier. are generic...

Nanomaterials of varying compositions and morphologies are interest for many applications from catalysis to optics, but the synthesis nanomaterials their scale-up most often time-consuming Edisonian processes. Information gleaned scientific literature can help inform accelerate development, again, searching digesting information manual processes researchers. To address these challenges, we developed article-processing tools that extract structure text figures articles, thereby enabling...

To expedite new molecular compound development, a long-sought goal within the chemistry community has been to predict molecules' bulk properties of interest priori synthesis from chemical structure alone. In this work, we demonstrate that machine learning methods can indeed be used directly learn relationship between structures and crystalline molecules, even in absence any crystal information or quantum mechanical calculations. We focus specifically on class organic compounds categorized as...

Abstract Lattices remain an attractive class of structures due to their design versatility; however, rapidly designing lattice with tailored or optimal mechanical properties remains a significant challenge. With each added variable, the space quickly becomes intractable. To address this challenge, research efforts have sought combine computational approaches machine learning (ML)-based reduce cost process and accelerate design. While these made substantial progress, challenges in (1)...

In this paper we describe how pore-structure modification can be achieved in a highly ordered fashion through the use of bolaform surfactants containing rigid unit hydrophobic chain. The silicate mesophase, SBA-8, synthesized using at room temperature, is two-dimensional (2-D) pore structure with centered rectangular lattice (space group cmm, 1 < a/b √3), which has no reported lyotropic liquid crystal analogue. SBA-8 thermally stable air, and surfactant removed by calcination to yield...

In-line for promotion: A study of self-assembled monolayers sulfanylalkanoic acids containing odd and even numbers methylene groups supported on gold silver has demonstrated that the crystallographic direction nucleated calcite crystals is controlled by orientation functional in templating surface (see picture).

Calcium carbonate crystallization in organisms often occurs through the transformation from amorphous precursor. It is believed that phase could be temporarily stabilized and stored, until its templated transition to crystalline form induced. Here we develop a bioinspired strategy based on above mechanism. Amorphous calcium (ACC) spherulitic particles are induced self-assembled monolayer (SAM) of hydroxyl-terminated alkanethiols gold surface. The ACC can then stored dry atmosphere as...

Formation of biomineral structures is increasingly attributed to directed growth a mineral phase from an amorphous precursor on organic matrix. While many in vitro studies have used calcite formation organothiol self-assembled monolayers (SAMs) as model system investigate this process, they generally focused the stability calcium carbonate (ACC) or maximizing control over order final phase. Little known about early stages formation, particularly structural evolution SAM and mineral. Here we...