Results 151 to 160 of about 2,582,876 (339)
A theorem on polynomial identities [PDF]
openaire +2 more sources
Flexible Memory: Progress, Challenges, and Opportunities
Flexible memory technology is crucial for flexible electronics integration. This review covers its historical evolution, evaluates rigid systems, proposes a flexible memory framework based on multiple mechanisms, stresses material design's role, presents a coupling model for performance optimization, and points out future directions.
Ruizhi Yuan +5 more
wiley +1 more source
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee +3 more
wiley +1 more source
An identity which implies Cohn's theorem on the zeros of a polynomial
N. J. Young
openalex +1 more source
The measure-theoretic identity underlying transient fluctuation theorems [PDF]
Benjamin Hertz Shargel
openalex +1 more source
On Cayley-Hamilton's theorem and Amitsur-Levitzki's identity
Für Endomorphismen \(A_ 1,...,A_ p:\) \({\mathbb{C}}^ n\to {\mathbb{C}}^ n\) wird der Endomorphismus \(A_ 1\wedge...\wedge A_ p\) der p-ten äußeren Potenz von \({\mathbb{C}}^ n\) durch \[ (A_ 1\wedge...\wedge A_ p)(u_ 1\wedge...\wedge u_ p)=(1/p!)\sum_{\sigma \in {\mathfrak S}_ p}(sgn \sigma)A_ 1u_{\sigma 1}\wedge...
openaire +3 more sources
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo +3 more
wiley +1 more source
Commutativity Theorems for *-Prime Rings with Differential Identities on Jordan Ideals [PDF]
Abdellah Mamouni +2 more
openalex +1 more source
Predicting Performance of Hall Effect Ion Source Using Machine Learning
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source
Identity, Geometry, Permutation And The Spin-Statistics Theorem
Michael J. York
openalex +2 more sources

