Structural, Electrochemical, and (De)lithiation Mechanism Investigation of Cation-Disordered Rocksalt and Spinel Hybrid Nanomaterials in Lithium-Ion Batteries.

Significant demand for lithium-ion batteries necessitates alternatives to Co- and Ni-based cathode materials. Cation-disordered materials using earth-abundant elements are being explored as promising candidates. In this paper, we demonstrate a coprecipitation synthetic approach that allows direct preparation of disordered rocksalt LiFeTiO (r-LFTO·C) and spinel structured hybrid LiFeTiO·C (s-LFTO·C) nanoparticles with a conformal conductive carbon coating.

Atomistic Origins of Conductance Switching in an ε-CuVO Neuromorphic Single Crystal Oscillator.

Building artificial neurons and synapses is key to achieving the promise of energy efficiency and acceleration envisioned for brain-inspired information processing. Emulating the spiking behavior of biological neurons in physical materials requires precise programming of conductance nonlinearities. Strong correlated solid-state compounds exhibit pronounced nonlinearities such as metal-insulator transitions arising from dynamic electron-electron and electron-lattice interactions.

Interphase formation fluoride-ion insertion in tunnel-structured transition metal antimonites.

Fluoridating reagents are used to model interfacial reactions in fluoride-ion batteries. Topochemical F-ion insertion is seen for one-dimensional (1D) tunnel-structured FeSbO but interphase formation comprising antimony (oxy)fluorides is observed for MnSbO.

Synergistic Anion and Solvent-Derived Interphases Enable Lithium-Ion Batteries under Extreme Conditions.

Lithium-ion batteries (LIBs) face increasingly stringent demands as their application expands into new areas, including extreme temperatures and fast charging. To meet these demands, the electrolyte should enable fast lithium-ion transport and form stable interphases on electrodes simultaneously. In practice, however, improving one aspect often compromises another.

Development, Acceptability, and Initial Implementation of an Interactive Text-Messaging Program for Fathers with Low Income.

Objectives: This study describes the development, acceptability, and implementation of an interactive text messaging program to engage fathers enrolled in home visitation programs.

Methods: We used an iterative development approach that integrated rapid testing of intervention content with acceptability feedback from program participants to examine the processes of implementation. In Study 1, we describe the rapid testing framework and present data from 171 men who provided feedback on Text4Dad content via three online surveys.

Interface-modulated kinetic differentials in electron and hole transfer rates as a key design principle for redox photocatalysis by Sb2VO5/QD heterostructures.

The efficient conversion of solar energy to chemical energy represents a critical bottleneck to the energy transition. Photocatalytic splitting of water to generate solar fuels is a promising solution. Semiconductor quantum dots (QDs) are prime candidates for light-harvesting components of photocatalytic heterostructures, given their size-dependent photophysical properties and band-edge energies.

Diamond surface functionalization via visible light-driven C-H activation for nanoscale quantum sensing.

Nitrogen-vacancy (NV) centers in diamond are a promising platform for nanoscale NMR sensing. Despite significant progress toward using NV centers to detect and localize nuclear spins down to the single spin level, NV-based spectroscopy of individual, intact, arbitrary target molecules remains elusive. Such sensing requires that target molecules are immobilized within nanometers of NV centers with long spin coherence.

One Score to Rule Them All? Comparing the Predictive and Concurrent Validity of 30 Hearts and Flowers Scoring Approaches.

The Hearts and Flowers (H&F) task is a computerized executive functioning (EF) assessment that has been used to measure EF from early childhood to adulthood. It provides data on accuracy and reaction time (RT) across three different task blocks (hearts, flowers, and mixed). However, there is a lack of consensus in the field on how to score the task that makes it difficult to interpret findings across studies.

Ultrathin Magnesium-Based Coating as an Efficient Oxygen Barrier for Superconducting Circuit Materials.

Scaling up superconducting quantum circuits based on transmon qubits necessitates substantial enhancements in qubit coherence time. Over recent years, tantalum (Ta) has emerged as a promising candidate for transmon qubits, surpassing conventional counterparts in terms of coherence time. However, amorphous surface Ta oxide layer may introduce dielectric loss, ultimately placing a limit on the coherence time.

Effect of Stereochemically Active Electron Lone Pairs on Magnetic Ordering in Trivanadates.

Stereoactive electron lone pairs derived from filled 5/6s states of p-block cations are an intriguing electronic and geometric structure motif that have been exploited for diverse applications such as thermoelectrics, thermochromics, photocatalysis, and nonlinear optics. Layered trivanadates are dynamic intercalation hosts, where the insertion of cations can be used to tune electron correlation, charge localization, and magnetic ordering. However, the interaction of 5/6s stereoactive electron lone pairs with layered trivanadates remains unexplored.

The Efficacy of Text-Based Mentoring for Postpartum Mothers: A Pilot Study.

Objectives: Technology-based outreach offers promise for providing support to a broad population of postpartum mothers while keeping costs low. However, research on the efficacy of this approach is scarce. We conducted a pre-registered randomized pilot trial of the effects of a novel technology-based approach for supporting postpartum mothers - via text-based mentoring - from infant's birth through 18 months.

Simulated sulfur K-edge X-ray absorption spectroscopy database of lithium thiophosphate solid electrolytes.

X-ray absorption spectroscopy (XAS) is a premier technique for materials characterization, providing key information about the local chemical environment of the absorber atom. In this work, we develop a database of sulfur K-edge XAS spectra of crystalline and amorphous lithium thiophosphate materials based on the atomic structures reported in Chem. Mater.

Chemical Profiles of the Oxides on Tantalum in State of the Art Superconducting Circuits.

Over the past decades, superconducting qubits have emerged as one of the leading hardware platforms for realizing a quantum processor. Consequently, researchers have made significant effort to understand the loss channels that limit the coherence times of superconducting qubits. A major source of loss has been attributed to two level systems that are present at the material interfaces.

Partial densities of states from x-ray absorption and Auger electron spectroscopy: Use of core-hole memory.

Ag edge x-ray absorption and - Auger electron spectra have been measured and simulated for a variety of x-ray electric-field polarization and Auger electron emission directions. The theory relies on density-functional theory, use of the Bethe-Salpeter equation, atomic multiplet theory, and a simplified model for the Auger line shape and its dependence on photon energy. We also demonstrate that partial densities of states for , , and symmetry partial-wave channels at the Ag site in the solid can be deduced from the experimental measurements with only atomic theoretical input, i.

The risks and opportunities of the COVID-19 crisis for building longitudinal evidence on today's early childhood education programs.

In the United States, the long-term effects of early childhood programs have been given particular weight in research on early childhood education and in policy debates about the value of prekindergarten. Many research teams were building the evidence base on U.S.

Does kindergarten instruction matter for sustaining the prekindergarten (PreK) boost? Evidence from individual- and classroom-level survey and observational data.

The sustaining environments hypothesis theorizes that the lasting effects of PreK programs are contingent on the quality of the subsequent learning environment in early elementary school. The current study tests this theory by leveraging data from students ( = 462) who did and did not enroll in the Boston Public Schools (BPS) prekindergarten (PreK) program as well as features of their kindergarten instruction measured at the child- and classroom-levels using surveys and observations. Taken together, findings revealed limited evidence for the sustaining environments hypothesis.

Positive impacts of a strengths-based family program on Latino kindergarteners' narrative language abilities.

Narrative language abilities are foundational to literacy development and are a culturally grounded measure of early literacy for Latino children. This study evaluates the impacts on narrative language abilities and the costs of a 4-week, strengths-based program that leverages two valued sociocultural practices with built-in benefits, personal narratives, and family food routines (e.g.

A strengths-based, culturally responsive family intervention improves Latino kindergarteners' vocabulary and approaches to learning.

Food routines are an ecocultural asset of Latino families. This cluster-randomized trial with 248 children (M  = 67 months; 50% girls; 13 schools) investigated the impact of a 4-week family program designed to capitalize on food routines in improving Latino kindergarteners' outcomes in the United States. There were moderate-to-large impacts on child vocabulary (especially food-related) at end-of-treatment and the 5-month follow-up, and suggestive evidence of moderate impacts on approaches to learning (ATL; including ATL math) and executive function at the 5-month follow-up (d = .

Determination of Hafnium Zirconium Oxide Interfacial Band Alignments Using Internal Photoemission Spectroscopy and X-ray Photoelectron Spectroscopy.

Doped ferroelectric HfO is highly promising for integration into complementary metal-oxide semiconductor (CMOS) technology for devices such as ferroelectric nonvolatile memory and low-power field-effect transistors (FETs). We report the direct measurement of the energy barriers between various metal electrodes (Pt, Au, Ta, TaN, Ti/Pt, Ni, Al) and hafnium zirconium oxide (HfZrO, HZO) using internal photoemission (IPE) spectroscopy. Results are compared with valence band offsets determined using the three-sample X-ray photoelectron spectroscopy (XPS) as well as the two-sample hard X-ray photoelectron spectroscopy (HAXPES) techniques.

Is Skill Type the Key to the PreK Fadeout Puzzle? Differential Associations Between Enrollment in PreK and Constrained and Unconstrained Skills Across Kindergarten.

This study examines whether associations between enrollment in public and non-public PreK and children's (N = 508; M  = 5.60 years in fall of kindergarten) math and language and literacy outcomes were more likely to be sustained through the spring of kindergarten for unconstrained versus constrained skills. Associations between public PreK and language, literacy, and math outcomes were more strongly sustained through the spring of kindergarten for unconstrained skills, relative to constrained skills.

The Kindergarten Hotspot: Literacy Skill Convergence Between Boston Prekindergarten Enrollees and Nonenrollees.

Preschool improves children's kindergarten readiness, but the cognitive outcomes of preschool enrollees and nonenrollees tend to converge partially or fully in elementary school. In older programs, most of this convergence occurs in kindergarten (Li et al., 2016), but evidence from today's programs is sparse.

Detection and annotation of plant organs from digitised herbarium scans using deep learning.

As herbarium specimens are increasingly becoming digitised and accessible in online repositories, advanced computer vision techniques are being used to extract information from them. The presence of certain plant organs on herbarium sheets is useful information in various scientific contexts and automatic recognition of these organs will help mobilise such information. In our study, we use deep learning to detect plant organs on digitised herbarium specimens with Faster R-CNN.