Results 151 to 160 of about 517,508 (339)

Phenomenological model of decaying Bose polarons

Physical Review Research
Cold atom experiments show that a mobile impurity particle immersed in a weakly interacting Bose-Einstein condensate forms a well-defined quasiparticle (Bose polaron) for weak to moderate impurity-boson interaction strengths, whereas a significant line ...
R. Alhyder, G. M. Bruun, T. Pohl, M. Lemeshko, A. G. Volosniev   +4 more
doaj   +1 more source

Dimension-Dependent Phenomenological Model of Excitonic Electric Dipole in InGaAs Quantum Dots. [PDF]

Nanomaterials (Basel), 2022
Steindl P, Klenovský P.
europepmc   +1 more source

Designing a Cognitive Model for Cancer Survivors with a Phenomenological Approach: A Case Study of Patients in Urmia

, 2022
Abbaszadeh Mohammad, Fatemeh Golabi, Mohammad Bagher Alizadeh-Aghdam, Tavakkol Aghayari Hir, Masoomeh Ghasemi   +4 more
openalex   +2 more sources

Transient modeling of extraction columns: Parameter estimation, uncertainty analysis, and operation optimization

AIChE Journal, EarlyView.
Abstract Despite extensive modeling efforts in extraction research, transient column models are rarely applied in industry due to concerns regarding parameter identifiability and model reliability. To address this, we analyzed uncertainty propagation from estimated parameters in a previously introduced column model and assessed identifiability via ill ...
Andreas Palmtag, Jannik Dohmen, Andreas Jupke   +2 more
wiley   +1 more source

A Phenomenological Model Reproducing Temporal Response Characteristics of an Electrically Stimulated Auditory Nerve Fiber. [PDF]

Trends Hear, 2022
Takanen M, Seeber BU.
europepmc   +1 more source

phenomenological model of iron oxidation in Pb melt

, 2007
Yaroslav Matychak, Olga Yeliseyeva, Valentyn Tsisar, V. М. Fedirko   +3 more
openalex   +2 more sources

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

The pion in the graviton soft-wall model: phenomenological applications [PDF]

, 2022
Matteo Rinaldi, F. Ceccopieri, V. Vento
openalex   +1 more source

Inverse Design of Alloys via Generative Algorithms: Optimization and Diffusion within Learned Latent Space

Advanced Intelligent Discovery, EarlyView.
This work presents a novel generative artificial intelligence (AI) framework for inverse alloy design through operations (optimization and diffusion) within learned compact latent space from variational autoencoder (VAE). The proposed work addresses challenges of limited data, nonuniqueness solutions, and high‐dimensional spaces.
Mohammad Abu‐Mualla, Ellis Crabtree, Fredrick Michael, Yayue Pan, Jida Huang   +4 more
wiley   +1 more source

Radiation-induced "rescue effect" in experiments on various model objects: phenomenological aspects and possible mechanisms. Review [PDF]

I.N. Kogarko, V.V. Petushkova, B.S. Kogarko, E.I. Selivanova, О. В. Ктиторова, Е.А. Neyfakh, I.I. Ganeev, N.S. Kuzmina   +7 more
openalex   +1 more source