Results 171 to 180 of about 187,858 (317)

Displaced geostationary orbits using hybrid low-thrust propulsion

, 2010
In this paper, displaced geostationary orbits using hybrid low-thrust propulsion, a complementary combination of Solar Electric Propulsion (SEP) and solar sailing, are investigated to increase the capacity of the geostationary ring that is starting to ...
Heiligers, J.
core  

A reinforcement learning-based hybrid modeling framework for bioprocess kinetics identification. [PDF]

Biotechnol Bioeng, 2023
Mowbray MR, Wu C, Rogers AW, Rio-Chanona EAD, Zhang D.   +4 more
europepmc   +1 more source

Polymer Interface Enables Reversible Quasi‐Solid Sulfur Conversion in Sodium‐Sulfur Batteries

Advanced Functional Materials, EarlyView.
The polymer interface enables a stable quasi‐solid sulfur conversion pathway in room‐temperature Na─S batteries. The coating regulates Na+ transport, stabilizes the cathode–electrolyte interphase, and accommodates mechanical stress, suppressing electrolyte decomposition and sulfur migration, thereby improving reaction uniformity, reducing polarization,
Reza Andaveh, Ying Zhao, Enzhong Jin, Zixin Zhang, Vinicius Martins, Parham Pirayesh, Yi Gan, Yi Yuan, Yijia Wang, Frederick Benjamin Holness, Changhong Cao, Jun Song, Yang Zhao   +12 more
wiley   +1 more source

Solution‐Processed Two‐Dimensional Indium Oxide on Sodium‐Embedded Alumina for Reconfigurable Optoelectronic Synaptic Transistors

Advanced Functional Materials, EarlyView.
Wafer‐scale two‐dimensioanl In2Se3 oxidized into InOx on sodium‐embedded beta‐alumina enables multifunctional reconfigurable electronics. Sodium ions accumulate within distinct spatial distribution under drain‐controlle and gate‐controlled operation. Drain‐control operation gives controllability of ultraviolet‐driven optoelectronic synaptic conductance
Jinhong Min, Yonghyun Albert Kwon, Hyunbin Kim, Jihyun Kim, Myeongjin Jung, Jaewon Heo, Gwang Ya Kim, Vlastimil Mazanek, Zdeněk Sofer, In Soo Kim, Jeong Ho Cho, Hyesung Park, Sang Min Won, Joohoon Kang   +13 more
wiley   +1 more source

Mixed Domain Modeling in Modelica

, 2002
Modelica is a language for convenient, component oriented modeling of physical systems. In this article an overview of the language, available libraries, the Dymola simulator and some industrial applicatons is given.
Schwarz, Peter, Otter, Martin, Elmqvist, Hilding, Mattsson, Sven Erik, Clauss, Christoph   +4 more
core  

Metabolic reprogramming in Rheumatoid Arthritis Synovial Fibroblasts: A hybrid modeling approach. [PDF]

PLoS Comput Biol, 2022
Aghakhani S, Soliman S, Niarakis A.
europepmc   +1 more source

Texoskeletons: Developing the Fundamental Technologies for Creating Intelligent Soft Robotic Clothing With Integrated 1D Sensors and Actuators

Advanced Functional Materials, EarlyView.
ABSTRACT Traditional wearable exoskeletons rely on rigid structures, which limit comfort, flexibility, and everyday usability. This work introduces the fundamental technologies to create the first soft, lightweight, intelligent textile‐based exoskeletons (Texoskeletons) built using 1D sensors and actuators.
Amy Lukomiak, Rameesh Bulathsinghala, Jack Varga, Shuxin Meng, Kalana Marasinghe, Imaad Refai, Biyon Fernando, Amitkumar Patel, Chamika M. Halloluwa‐Arachchige, Carlos Oliveira, Arash M. Shahidi, Zahra Rahemtulla, Alexander Turner, Ziyun Ding, Bernard X. W. Liew, Andy Kerr, Ezio Preatoni, Theo Hughes‐Riley, Ishara Dharmasena, Pasindu Lugoda   +19 more
wiley   +1 more source

Modeling Technical Change in Midwest Corn Yields, 1895-2005: A Time Varying-Regression Approach

This paper explores the use of time-varying regression models to model the effects of technical change in US Midwest Corn yields. The data extends from 1895 to 2005 encompassing the implementation of hybrid technologies and improvements in farm ...
Holt, Matthew T., Gray, Allan W., Lynch, Alee L.   +2 more
core  

Modelica - A Language for Physical System Modeling, Visualization and Interaction

, 1999
Modelica is an object-oriented language for modeling of large, complex and heterogeneous physical systems. It is suited for multi-domain modeling, for example for modeling of mechatronics including cars, aircrafts and industrial robots which typically ...
Mattsson, S. E., Otter, M., Elmqvist, H.
core  

Machine Learning‐Assisted Inverse Design of Soft and Multifunctional Hybrid Liquid Metal Composites

Advanced Functional Materials, EarlyView.
A machine learning framework is presented for inverse design of synthesizable multifunctional composites containing both liquid metal and solid inclusions. By integrating physics‐based modeling, data‐driven prediction, and Bayesian optimization, the approach enables intelligent design of experiments to identify optimal compositions and realize these ...
Lijun Zhou, Yunsik Ohm, Ren‐Mian Chin, Olivia Kerr, Krithika Manohar, Mohammad H. Malakooti   +5 more
wiley   +1 more source