Results 201 to 210 of about 3,908 (312)

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

Determination Method of Optimal Decomposition Level of Discrete Wavelet Based on Joint Jarque-Bera Test and Combination Weighting Method. [PDF]

Entropy (Basel)
Zhang Z, Liu C, Wang M, Sun S, Zhan Z.
europepmc   +1 more source

A Public-Key Cryptosystem Based On Discrete Logarithm Problem over Finite Fields fpn

, 2015
Iosr Journals, M I Saju, P. L. Lilly
openalex   +1 more source

Capacitive versus Faradaic Microelectrodes for Extracellular Stimulation: A Fully Coupled FEM–Hodgkin–Huxley Study of Thresholds and Current Redistribution

Advanced Electronic Materials, EarlyView.
A fully coupled FEM–HH model shows that ideally capacitive microelectrodes can achieve lower charge‐density thresholds than Faradaic contacts under current‐controlled stimulation. The advantage stems from the dynamics of surface current density on capacitive interfaces, which redirects current beneath adherent neurons.
Aleksandar Opančar, Eric Daniel Głowacki, Vedran Đerek   +2 more
wiley   +1 more source

FACEDIG automated tool for placing landmarks on facial portraits for geometric morphometrics users. [PDF]

Sci Rep
Kleisner K, Trnka J, Tureček P.
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

Designing on-farm trials: an example with interventions to improve micronutrient status of grain crops. [PDF]

NPJ Sustain Agric
Lark RM, Manzeke-Kangara MG, Kihara JM, Broadley MR.   +3 more
europepmc   +1 more source

Parallel Implementation of Pohlig-Hellman to Compute Discrete Logarithms

, 2017
Aditya Sakre, Amit Gurbani, Pooja Dedwal, F. V. Jayasudha   +3 more
openalex   +1 more source

Assessing Mesoscale Heterogeneities in Hard Carbon Electrodes Through Deep Learning‐Assisted FIB‐SEM Characterization, Manufacturing and Electrochemical Modeling

Advanced Energy Materials, EarlyView.
A combination of discrete and finite element method models for the current collector deformation and electrochemical performance analysis, respectively. The models are calibrated and validated with electrochemical and imaging data of hard carbon electrodes. These electrodes were manufactured with different parameters (slurry solid contents of 35 and 40
Soorya Saravanan, Imelda Cardenas‐Sierra, Pei Sun, Hari Raj, Daniele Duranti, Mahnoor Nafees, Edoardo Rossi, Marco Sebastiani, Paul Vigneaux, Martin Petit, Maxime Moreaud, Francisco Fernandez, Alejandro A. Franco   +12 more
wiley   +1 more source

Mechanistic within-host mathematical model of inhalational anthrax. [PDF]

PLoS Comput Biol
Whaler B, Lythe G, Gillard JJ, Laws TR, Carruthers J, Finnie T, Molina-París C, López-García M.   +7 more
europepmc   +1 more source