Results 81 to 90 of about 1,880,507 (277)

High‐Throughput Data Generation and Transfer Learning Enabled Microstructure‐Property Integrated Design of Nickel‐Based Powder Metallurgy Superalloy

open access: yesAdvanced Science, EarlyView.
An integrated transfer learning framework integrates CALPHAD simulations, diffusion‐multiple experiments, and literature data to predict long‐term microstructural stability and short‐term mechanical properties of Ni‐based powder metallurgy superalloys. Based on these model predictions, a high‐performance, low‐density alloy, USTB‐PM750, is designed from
Zixin Li   +8 more
wiley   +1 more source

Optical studies of the pre-breakdown mechanism in dielectronic liquids. [PDF]

open access: yes, 1977
PhDThe work described in this thesis provides an optical study of pre-breakdown events in liquid dielectrics. A small scale rig employing a 50SI test cell with viewing windows, as part of a high voltage co-axial line, enabled short rise time pulses ...
McGrath, P. B.
core   +2 more sources

Hardness determination of bio-ceramics using laser-induced breakdown spectroscopy. [PDF]

open access: yes, 2011
Laser-Induced Breakdown Spectroscopy (LIBS) was applied to the analysis of bioceramic samples. The relationship between sample hardness and LIBS plasma properties was investigated, with comparison to conventional Vickers hardness measurements.
Moser, D.   +23 more
core   +1 more source

In Situ Stress‐Dispersing Hydrogel Millispheres via Load Redistribution to Restore Nucleus Pulposus Metabolic Homeostasis

open access: yesAdvanced Science, EarlyView.
Local stress concentration disrupts metabolic homeostasis and induces inflammation in the nucleus pulposus (NP), thereby accelerating intervertebral disc degeneration (IDD). A biomimetic HA/ChS hydrogel millimeter sphere (ChS@HM) is developed to enable synergistic stress dispersion and sustained hydration lubrication.
Ang Li   +4 more
wiley   +1 more source

Breakdown and asymptotic properties of resampled estimates [PDF]

open access: yes, 1995
In this paper we study the breakdown and asymptotic properties of resampled t-estimates. We find that they retain the finite breakdown point of the exact estimator.
Blanco, Ana M., Adrover, Jorge
core   +1 more source

Dark current, breakdown, and magnetic field effects in a multicell, 805 MHz cavity

open access: yesPhysical Review Special Topics. Accelerators and Beams, 2003
We present measurements of dark currents and x rays in a six cell 805 MHz cavity, taken as part of an rf development program for muon cooling, which requires high power, high stored energy, low frequency cavities operating in a strong magnetic field.
J. Norem   +7 more
doaj   +1 more source

Neuromorphic Near‐Sensor and In‐Sensor Computing Enabled by Next‐Generation Material‐Based Sensors

open access: yesAdvanced Science, EarlyView.
This Review presents a structural framework that classifies neuromorphic sensing into near‐sensor and in‐sensor architectures, clarifying physical coupling between sensing and computation. The framework connects neural and synaptic device functions with recent advances in optical, mechanical, and chemical sensing, compares energy consumption and ...
Su Yeon Jung   +7 more
wiley   +1 more source

Ultrasound‐Activatable Piezoelectric Hydrogel Reprograms Mitochondrial Epigenetics for Osteoarthritis Therapy via the mTOR/GATD3A Axis

open access: yesAdvanced Science, EarlyView.
An ultrasound‐activatable piezoelectric hydrogel reprograms chondrocyte mitochondrial epigenetics via the mTOR/GATD3A axis, clearing damaged mitochondria and alleviating osteoarthritis progression in both mouse models and human cartilage explants. ABSTRACT The avascular nature of cartilage hinders drug delivery for osteoarthritis (OA) therapy.
Hui Zheng   +9 more
wiley   +1 more source

Breakdown Point Theory for Implied Probability Bootstrap [PDF]

open access: yes
This paper studies robustness of bootstrap inference methods under moment conditions. In particular, we compare the uniform weight and implied probability bootstraps by analyzing behaviors of the bootstrap quantiles when outliers take arbitrarily large ...
Lorenzo Camponovo, Taisuke Otsu
core  

A Generative Neuro‐Symbolic AI for Protein Sequence Design

open access: yesAdvanced Science, EarlyView.
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne   +12 more
wiley   +1 more source

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