Results 161 to 170 of about 20,650,460 (241)

Delay-Modulated Nonlinear Stochastic Mode Veering in Inertially Coupled Vibration Systems. [PDF]

Entropy (Basel)
Zhang L, Han Z, Wang Q.
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Hamiltonian description of non-reciprocal interactions. [PDF]

Nat Phys
Shi YB, Moessner R, Alert R, Bukov M.
europepmc   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

KANs for deuteron wave function approximation with simplified chiral EFT. [PDF]

Sci Rep
Khalili H, Shabani A, Marzabadi MA, Khalili M.   +3 more
europepmc   +1 more source

Stochastic‐MTJ Sampler Arrays for In‐Array Monte–Carlo Estimation

Advanced Electronic Materials, EarlyView.
A low‐energy‐barrier magnetic tunnel junction array is operated as a probability‐domain sampler: each cell's random switching, programmed through a shared digital‐to‐analog converter, makes the per‐column multiply–accumulate an unbiased Monte–Carlo expectation estimator that returns both a mean and a calibrated uncertainty.
Ran Zhang, Nellie Laleni, Sina Ranjbar, Andreas Tsiougkos, Nandakishor Yadav, Vasilis Pavlidis, Thomas Kämpfe   +6 more
wiley   +1 more source

Simulation-based approach with an adaptive Type-II hybrid progressive censoring scheme to study the coefficient of variation of the weighted exponential distribution. [PDF]

PLoS One
Aljohani HM, Alharthi AS, Almohri WAJ, Aljeddani SMA, Alsubaie NE, El-Sharkawy WA.   +5 more
europepmc   +1 more source

Performance and Environmental Impact of Flexible Temperature Sensors on Cellulose‐Based Substrate

Advanced Electronic Materials, EarlyView.
Toward low‐environmental‐impact approach to thin‐film sensors fabrication using natural ingredient‐based triacetyl cellulose (TAC) substrate. Temperature sensors are fabricated and characterized based on thermal and mechanical performance. Substrate recovery is demonstrated by facile dissolution of a Mo‐based sensor in deionized water.
Dianne C. Corsino, Diego Ferri, Claudio Bonizzoni, Marco Affronte, Shuvaraj Ghosh, Stefania Benedetti, Alberto Rota, Antonio Ballestrazzi, Luca Pasquali, Ahmed Rasheed, Luisa Petti, Hafiza Faiqa Maqsood, Niko Münzenrieder, Roberto Rosa, Giuseppe Cantarella   +14 more
wiley   +1 more source

New frontiers in the p-hacking practices: assessing the effect of data peeking practice on type-I error rate through computational modeling. [PDF]

Front Psychol
Freuli F, Noventa S, Lombardi L.
europepmc   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

Advanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu, Milica Zdravković, Dijana Milosavljević, Konstantin Köster, Olivier Guillon, Jyh‐Chiang Jiang, Payam Kaghazchi   +6 more
wiley   +1 more source