Results 91 to 100 of about 47,512 (262)

A phenomenological model of the X-ray pulse statistics of a high-repetition-rate X-ray free-electron laser. [PDF]

IUCrJ, 2023
Guest TW, Bean R, Kammering R, van Riessen G, Mancuso AP, Abbey B.   +5 more
europepmc   +1 more source

Measuring differences between phenomenological growth models applied to epidemiology

, 2021
Raimund Bürger, Gerardo Chowell, Leidy Yissedt Lara-Díaz   +2 more
openalex   +2 more sources

Spin Matters: A Multidisciplinary Roadmap to Understanding Spin Effects in Oxygen Evolution Reaction During Water Electrolysis

Advanced Energy Materials, EarlyView.
This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne, Priscila Vensaus, Vadim Ratovskii, Seenivasan Hariharan, Jan Behrends, Cesare Franchini, Jonas Fransson, Sarnjeet S. Dhesi, Felix Gunkel, Florian Gossing, Georgios Katsoukis, Ulrike I. Kramm, Magalí Lingenfelder, Qianqian Lan, Yury V. Kolen'ko, Yang Li, Ramsundar Rani Mohan, Jeffrey McCord, Lingmei Ni, Eva Pavarini, Rossitza Pentcheva, David H. Waldeck, Michael Verhage, Anke Yu, Zhichuan J. Xu, Piero Torelli, Silvia Mauri, Narcis Avarvari, Anja Bieberle‐Hütter, Christoph Baeumer   +29 more
wiley   +1 more source

The electro-weak model as a phenomenological issue of multidimensions [PDF]

, 2022
Francesco Cianfrani, Giovanni Montani
openalex   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

A Phenomenological Model for Electrical Transport Characteristics of MSM Contacts Based on GNS. [PDF]

Micromachines (Basel), 2023
Rahmani M, Ghafoorifard H, Ahmadi MT.
europepmc   +1 more source

A phenomenological model of the Resonance peak in High Tc Superconductors [PDF]

, 2022
Benoy Chakraverty
openalex   +1 more source

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

A phenomenological model for COVID-19 data taking into account neighboring-provinces effect and random noise. [PDF]

Stat Neerl, 2022
Calatayud J, Jornet M, Mateu J.
europepmc   +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