Results 171 to 180 of about 125,107 (311)

Foundational Machine‐Learning Interatomic Potential for Simulating Chemically Complex Ni‐Based Superalloys

Advanced Engineering Materials, EarlyView.
We apply a foundational machine‐learning interatomic potential based on the graph atomic cluster expansion (GRACE) to simulate the commercial Ni‐based single‐crystal superalloy CMSX‐4. Hybrid Monte‐Carlo/molecular dynamics sampling resolves short‐range order in the γ phase and L12 sublattice occupancies in the γ’ phase and connects them to stacking ...
Aditya Vishwakarma, Sarath Menon, Fritz Körmann, Thomas Hammerschmidt, Ralf Drautz   +4 more
wiley   +1 more source

An empirical analysis on the efficiency of the microfinance investment market [PDF]

This paper empirically analyzes the market efficiency of microfinance investment funds. For the empirical analysis, we use an index of the microfinance investment funds and apply two kinds of variance ratio tests to examine whether or not this index ...
Shigeyuki Hamori, Takeshi Inoue
core  

How Long does it Take to Train an Elephant Random Walk. [PDF]

J Stat Phys
Fang Z.
europepmc   +1 more source

Microstructure Modification of Additively Manufactured Mo–9Si–8B by Annealing and Its Effects on High‐Temperature Mechanical Properties

Advanced Engineering Materials, EarlyView.
Postbuild annealing systematically modifies the phase fractions and morphology of EB‐PBF processed Mo–9Si–8B. Quantitative microstructure–property correlations reveal how controlled phase evolution enhances high‐temperature compressive strength and creep resistance.
Christopher Schmidt, Yong Chen, Georg Hasemann, Benjamin Wahlmann, Carolin Körner, Manja Krüger   +5 more
wiley   +1 more source

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Weak-form market efficiency in European emerging and developed stock markets [PDF]

This paper tests for random walks and weak-form market efficiency in European equity markets. Daily returns for sixteen developed markets (Austria, Belgium, Denmark, Finland, France, Germany, Greece, Ireland, Italy, Netherlands, Norway, Portugal, Spain ...
Andrew C. Worthington, Helen Higgs
core  

A Critical Look at Directional Random Walk Modeling of Sparse Fossil Data. [PDF]

Ecol Evol
Ergon R.
europepmc   +1 more source

Microenvironmental Reprogramming by 3D Anisotropic Cardiac Extracellular Matrix Induces Nuclear Remodeling and Epigenetic Maturation of Chemically Induced Cardiomyocytes

Advanced Functional Materials, EarlyView.
A 3D anisotropic hydrogel derived from heart extracellular matrix guides cytoskeletal alignment and nuclear remodeling in reprogrammed cardiomyocyte‐like cells. This study reveals how matrix alignment modulates nuclear envelope dynamics and chromatin state, triggering transcriptional and functional maturation.
Seung Ju Seo, Mi Jeong Lee, Hyun Wook Kang, Seonhee Byeon, Soo‐Kyoung Choi, Nakwon Choi, Seung‐Woo Cho, Yoonhee Jin   +7 more
wiley   +1 more source

ETX2Vec: a fraud detection algorithm for ethereum based on temporal biased random walk strategy. [PDF]

Sci Rep
Lu J, Liao B, Liu Y, Zhong L.
europepmc   +1 more source

The Range of Random Walk

, 1972
Jain, Naresh C., Pruitt, William E.
openaire   +2 more sources