Results 71 to 80 of about 4,718 (211)

Updatable Closed‐Form Evaluation of Arbitrarily Complex Multiport Network Connections

open access: yesAdvanced Electronic Materials, EarlyView.
The inverse design of electrically large wave devices often uses reduced‐order multiport models with discrete optimization, requiring many evaluations of complex interconnections between subsystems that differ only in a few blocks. This paper introduces a closed‐form framework enabling efficient Woodbury low‐rank updates of related, previous ...
Hugo Prod'homme, Philipp del Hougne
wiley   +1 more source

Exploiting Temperature Effects for Robust Control and Reference Circuits Using Thin‐Film Contact‐Controlled Transistors

open access: yesAdvanced Electronic Materials, EarlyView.
Compact circuits based on contact‐controlled transistors are well‐suited to unsupervised thermal management, sensitive temperature measurement, or temperature‐stable current references. Demonstrated on flexible microcrystalline silicon and supported by simulation, the approach does not require supply voltage regulation, remains manufacturable across ...
Eva Bestelink   +6 more
wiley   +1 more source

A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration

open access: yesAdvanced Electronic Materials, EarlyView.
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti   +6 more
wiley   +1 more source

Predictable and Scalable Analog Matrix–Vector Multiplication in Memristor Crossbars via Closed‐Form Wire‐Resistance Compensation

open access: yesAdvanced Electronic Materials, EarlyView.
Wire resistance and sneak paths severely compromise the performance of large memristor crossbars. A predictive closed‐form distributed line‐resistance model, combined with a fourmatrix geometry‐averaging algorithm, eliminates these parasitic limitations.
Davide Rossetti   +5 more
wiley   +1 more source

Title: Adaptive Geometric Topology: Mathematical Modeling and Validation

open access: yes
This paper explores the integration of adaptive geometric topology with machine learning algorithms to automate the discovery and validation of complex geometric structures. We establish a mathematical framework that bridges the definitions of topology and validates them with machine learning techniques.
openaire   +1 more source

The Unified Force Topology: Purely geometric derivation of the mathematical constants for all four fundamental forces, proving they are all born from the Golden Ratio interacting with the dimensionality of the superfluid lattice.

open access: yes
A primary objective of theoretical physics has been the Grand Unification of the four fundamental forces—Electromagnetism, the Strong Nuclear Force, the Weak Nuclear Force, and Gravity. Standard models treat the coupling strengths of these forces as independent, empirically derived parameters.
openaire   +1 more source

Operando Electro‐Rheology: Unraveling Decoupled Ion Transport‐Mechanical‐Morphological Properties in Nanostructured Block Copolymer Electrolytes

open access: yesAdvanced Energy Materials, EarlyView.
A novel operando methodology, which combines simultaneous rheological and electrochemical measurements under dc polarization in a LiTFSI‐doped polystyrene‐block‐poly(ethylene oxide) block copolymer electrolyte, is developed. Time‐resolved monitoring of the viscoelastic and electrochemical responses to galvanostatic stimulus enables to elucidate the ...
Martino Airoldi   +2 more
wiley   +1 more source

A Unifying Approach to Self‐Organizing Systems Interacting via Conservation Laws

open access: yesAdvanced Intelligent Discovery, EarlyView.
The article develops a unified way to model and analyze self‐organizing systems whose interactions are constrained by conservation laws. It represents physical/biological/engineered networks as graphs and builds projection operators (from incidence/cycle structure) that enforce those constraints and decompose network variables into constrained versus ...
F. Barrows   +7 more
wiley   +1 more source

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

open access: yesAdvanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy   +8 more
wiley   +1 more source

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