Results 31 to 40 of about 887 (149)

Applications of recurrent neural networks in batch reactors. Part II: Nonlinear inverse and predictive control of the heat transfer fluid temperature [PDF]

, 1998
Although nonlinear inverse and predictive control techniques based on artificial neural networks have been extensively applied to nonlinear systems, their use in real time applications is generally limited.
Zaldívar, J.M., Galván, Inés M.
core   +1 more source

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

Advanced Energy Materials, Volume 16, Issue 4, 28 January 2026.
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

Understanding Functional Materials at School

Advanced Functional Materials, Volume 35, Issue 51, December 16, 2025.
This review outlines strategies for effectively teaching nanoscience in schools, focusing on challenges such as scale comprehension and curriculum integration. Emphasizing inquiry‐based learning and chemistry core concepts, it showcases hands‐on activities, digital tools, and interdisciplinary approaches.
Johannes Claußnitzer, Jürgen Paul
wiley   +1 more source

Perspectives on reactor safety. Revision 1 [PDF]

, 1997
The US Nuclear Regulatory Commission (NRC) maintains a technical training center at Chattanooga, Tennessee to provide appropriate training to both new and experienced NRC employees.
Haskin, F. E., Hodge, S. A., Camp, A. L.
core   +1 more source

Drinking Water Biofiltration Performance With Varying Ozone and Hydraulic Operations

AWWA Water Science, Volume 7, Issue 6, November/December 2025.
ABSTRACT This study produced a comprehensive drinking water ozone‐biofiltration evaluation by assessing performance at a newly commissioned facility with varying hydraulic and ozonation operations. In brief, 30 water quality, operational, and biological parameters were collected at 11 locations throughout the treatment train at least every other week ...
Kara Cunningham, Amanda Minke, Ramola Vaidya, Christina Alito, Carolyn Hannoch, Eric Rogers, Jessica Edwards‐Brandt, Gerardo Castaneda, Anurag Mantha, Mary Jo Kirisits, Emily Garner, Bradley Schmitz   +11 more
wiley   +1 more source

Nanomembrane Etching and Release Process for the Realization of Hybrid InP/Si Photonic‐Crystal Surface‐Emitting Lasers Using Micro‐Transfer Printing

physica status solidi (a), Volume 222, Issue 21, November 2025.
In this article, a process for achieving small‐area, high‐bandwidth photonic‐crystal surface‐emitting lasers for optical telecom is presented. InP active material is integrated onto an Si‐photonic crystal using a commercially established micro‐transfer printing technique.
Olof Sjödin, Rutvik Urdhwareshe, Ishwor Koirala, Axel Strömberg, Mattias Hammar   +4 more
wiley   +1 more source

Accelerating the Structure Exploration of Diverse Bi–Pt Nanoclusters via Physics‐Informed Machine Learning Potential and Particle Swarm Optimization

ChemPhysChem, Volume 26, Issue 19, October 6, 2025.
AI‐guided swarms reveal Bi–Pt nanoparticle motifs. [Correction added on 28 October 2025, after the Issues published online: Older TOC text has been replaced with “AI‐guided swarms reveal Bi–Pt nanoparticle motifs”.] Bimetallic Bi–Pt nanoclusters exhibit diverse structural motifs, including core‐shell, Janus, and mixed alloy configurations, due to the ...
Raphaël Vangheluwe, Carine Clavaguéra, Minh‐Tue Truong, Dominik Domin, Huy Cong Pham, Mihai‐Cosmin Marinica, Nguyen‐Thi Van‐Oanh   +6 more
wiley   +1 more source

Real‐Time and Controllable Reactive Motion Synthesis via Intention Guidance

Computer Graphics Forum, Volume 44, Issue 6, September 2025.
Our model generates instant reactive movements for the red character based on anticipated intentions. The user controls the movement direction of the input blue character via keyboard, and our system dynamically generates corresponding motions for both characters in response. Abstract We propose a real‐time method for reactive motion synthesis based on
Xiaotang Zhang, Ziyi Chang, Qianhui Men, Hubert P. H. Shum   +3 more
wiley   +1 more source

Use of Feynman-alpha method for determination of kinetic and dynamic parameters at Training Reactor VR-1

, 2017
Cílem této práce je rozebrat problematiku využití metody Feynman-alfa na školním reaktoru VR-1. Nejprve je metoda Feynman-alfa odvozena, následně je popsán vliv parametrů a rozbor neurčitostí při experimentech.
Vacek Michal
core  

Identification and predictive control of a multistage evaporator [PDF]

, 2010
A recurrent neural network-based nonlinear model predictive control (NMPC) scheme in parallel with PI control loops is developed for a simulation model of an industrial-scale five-stage evaporator.
Cao, Y., Tadé, M.O., J.C. Atuonwu, Rangaiah, G., Atuonwu, J.C., Atuonwu, James C., Cao, Yi, Rangaiah, G.P., Y. Cao, Atuonwu, J., Tade, Moses, Tadé, M. O., M.O. Tadé, G.P. Rangaiah, Rangaiah, G. P.   +14 more
core   +1 more source