Results 141 to 150 of about 61,871 (293)
Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites
Advanced Functional Materials, EarlyView.A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou +5 more
wiley +1 more source
Dual‐Mode Magnetic Elastomer for On‐Demand Motion and Degradation
Advanced Functional Materials, EarlyView.A dual‐mode magnetic elastomer is introduced, enabling DC field‐driven programmable actuation and AC field‐driven magnetothermal degradation. GHz‐range magnetic fields generate ultrafast heating of magnetic nanoparticles that activates cleavage of the silicone elastomer matrix.
Jieun Han +13 more
wiley +1 more source
Building a market simulator for high frequency trading
, 2014 Non UBCUnreviewedAuthor affiliation: Quantitative ...
Almgren, Robert
core
Advanced Functional Materials, EarlyView.When hydrated zinc ions are deposited onto Cu substrates at practical current densities, the modified Cu enables simultaneously compact zinc growth and suppressed hydrogen evolution. This regulatory effect originates from the superior adsorption of the modified Cu interface, which enhances zincophilicity and the hydrogen desorption barrier, thereby ...
Zhe Zhu +8 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Field‐free spin‐orbit torque domain‐wall synapses integrated with stochastic MTJ neurons enable compact hardware Boltzmann machines. Leveraging intrinsic stochasticity and multi‐level conductance, the system achieves efficient probabilistic learning with high accuracy, demonstrating a scalable spintronic platform for energy‐efficient edge AI.
Aijaz H. Lone +8 more
wiley +1 more source
M of a kind: A Multivariate Approach at Pairs Trading
Pairs trading is a popular trading strategy that tries to take advantage of market inefficiencies in order to obtain profit. Such approach, on its classical formulation, uses information of only two stocks (a stock and its pairs) in the formation of the ...
Perlin, M.
core
Does trading volume really explain stock returns volatility? [PDF]
Assuming that the variance of daily price changes and trading volume are both driven by the same latent variable measuring the number of price-relevant information arriving on the market, the Mixture of Distribution Hypothesis (MDH) represents an ...
Loredana Ureche-Rangau, Thierry Ané
core
Advanced Functional Materials, EarlyView.An integrated material platform combining engineered SiNx thin films and printable ZrO2 nanoparticle‐embedded resin enables broadband achromatic metalenses from the ultraviolet to visible range. The demonstrated meta‐optics achieve near‐diffraction‐limited focusing with minimal chromatic aberration.
Hyunjung Kang +3 more
wiley +1 more source
High-Frequency trading strategy based on deep neural networks [PDF]
, 2019 Recent conceptual and engineering breakthroughs in Machine Learning (ML), particularly in Deep Neural Networks (DNN), have revolutionized the Computer Science field and have been responsible for astonishing breakthroughs in computer vision, speech ...
Arévalo Murillo, Andrés Ricardo
core
How high frequency trading affects a market index. [PDF]
Sci Rep, 2013 Kenett DY +3 more
europepmc +1 more source