Results 101 to 110 of about 172,025 (293)
This study investigates thermo‐chemical processes during high‐temperature testing of two commercial MgO‐C brick grades, one containing 47.5 wt.% MgO‐C recyclate. Using ETV, DTA/TG‐MS, XRD, and SEM/EDS/EBSD, mechanisms such as carbothermal reduction of magnesia, impurity incorporation into the secondary MgO surface layer, and calcium‐rich phase ...
Alexander Schramm +6 more
wiley +1 more source
Fungal mycelia grown into biodegradable scaffolds and infused with titania nanoparticles show enhanced ultraviolet shielding, thermal protection, and surface nonwettability. Properties were tuned by drying methods, revealing structure–function relationships.
Juwon S. Afolayan +2 more
wiley +1 more source
The Unsupervised Acquisition of a Lexicon from Continuous Speech [PDF]
We present an unsupervised learning algorithm that acquires a natural-language lexicon from raw speech. The algorithm is based on the optimal encoding of symbol sequences in an MDL framework, and uses a hierarchical representation of language that ...
de Marcken, Carl
core +4 more sources
UConnRCMPy: Python-based Data Analysis for Rapid Compression Machines
Presented at the 10th US National Technical Meeting of the Combustion Institute in College Park, MD on 25 April 2017Abstract:Rapid Compression Machines (RCMs) are well-characterized devices used to measure several fundamental combustion quantities, such as the autoignition delay.
Weber, Bryan, Chih-Jen Sung
openaire +1 more source
Carbon‐free inert anodes are essential for decarbonizing aluminum electrolysis. This study investigates a recyclate‐based MgO‐316L steel composite anode tested under galvanostatic Hall–Héroult conditions in cryolite at 1000°C. Microstructural analysis reveals selective MgO fluorination, spinel and oxide layer formation, electrolyte infiltration, and ...
Serhii Yaroshevskyi +7 more
wiley +1 more source
Natural Compression for Distributed Deep Learning
Modern deep learning models are often trained in parallel over a collection of distributed machines to reduce training time. In such settings, communication of model updates among machines becomes a significant performance bottleneck and various lossy ...
Canini, Marco +5 more
core
This study investigates laser‐based oxide removal of Cu inserts in oxygen‐free conditions and examines long‐term oxidation kinetics and surface chemistry under different atmospheres via X‐ray photoelectron spectroscopy. Al–Cu compound casting with differently oxidized surfaces is performed, and intermetallic phase formation, morphology, and thermal ...
Timon Steinhoff +9 more
wiley +1 more source
EDX elemental map of the pre‐oxidized MgO–steel cermet anode cross section after electrolysis. The development of inert anodes for aluminum electrolysis remains challenging due to the high corrosivity of cryolite‐based melts at 950°C–1000°C. This study investigates the corrosion and process behavior of a carbon‐free MgO–steel cermet anode derived from ...
Alexander Adamczyk +7 more
wiley +1 more source
Global Momentum Compression for Sparse Communication in Distributed SGD
With the rapid growth of data, distributed stochastic gradient descent~(DSGD) has been widely used for solving large-scale machine learning problems. Due to the latency and limited bandwidth of network, communication has become the bottleneck of DSGD ...
Gao, Hao +3 more
core
Collagen hydrolysate is evaluated as a sustainable binder for MgO‐C refractories. Its thermally induced cross‐linking and gas release lead to expansion and cracking in large bricks, but tailored batches with lignin, recyclates, or fine graphite improve the gas release while thermal treatment and stability.
Till M. J. Stadtmüller +8 more
wiley +1 more source

