Results 61 to 70 of about 188,540 (294)

Redox Complexity in Sodium Manganese Hexacyanomanganate and Its Influence on Sodium‐Ion Storage Performance

Advanced Energy Materials, EarlyView.
The role of each Mn site in the Na3‐xMn[Mn(CN)6]·zH2O compounds’ redox activity was investigated using a combined experimental–computational approach, which shows that only the low‐spin Mn‐C site undergoes redox changes (Mn1+ to Mn4+), while high‐spin Mn‐N remains unchanged. The study confirms the presence of the Mn1+ intermediate and newly reveals its
Zhenying Li, Nilanka M. Keppetipola, Yu Wang, Gwenaëlle Rousse, Romain Dugas, Anatolii V. Morozov, Artem M. Abakumov, Héloïse Pages, Mouna Ben Yahia, Marie‐Liesse Doublet, Ozlem Sel, Jean‐Marie Tarascon   +11 more
wiley   +1 more source

Guía metodológica para la selección de proveedores DBaaS en Pymes

Revista Científica, 2020
La importancia que han adquirido las bases de datos como servicio (DBaaS) y la relación que tienen los proveedores directamente en la gestión de la información cuando se ofrece un servicio en la nube son factores clave en el manejo de la información.
Fabián Leonardo Vargas-Corredor, Jorge Enrique Quevedo-Reyes, Juan Sebastián González-Sanabria, Marco Javier Suárez-Barón   +3 more
doaj   +1 more source

Universally Accurate or Specifically Inadequate? Stress‐Testing General Purpose Machine Learning Interatomic Potentials

Advanced Intelligent Discovery, EarlyView.
We investigate MACE‐MP‐0 and M3GNet, two general‐purpose machine learning potentials, in materials discovery and find that both generally yield reliable predictions. At the same time, both potentials show a bias towards overstabilizing high energy metastable states. We deduce a metric to quantify when these potentials are safe to use.
Konstantin S. Jakob, Karsten Reuter, Johannes T. Margraf   +2 more
wiley   +1 more source

Experimental investigation on linear fresnel reflector prototype for solar heat production

Renewable Energy and Sustainable Development
This paper deals with the conception, design, and construction of a prototype of a Linear Fresnel Reflector (LFR) coupled with a Multi-Effect Distillation system intended to sea-water desalination.
Omar Achahour, Badreddine El Ghazzani, Rachid Safoui, Aicha Eddemani, Mohamed Abbassi, Abdeslam Elfanaoui, Ahmed Ihlal   +6 more
doaj   +1 more source

Scaling-up the Calcium-Looping Process for CO2 Capture and Energy Storage

KONA Powder and Particle Journal, 2020
The Calcium-Looping (CaL) process has emerged in the last years as a promising technology to face two key challenges within the future energy scenario: energy storage in renewable energy-based plants and CO2 capture from fossil fuel combustion.
Carlos Ortiz, José Manuel Valverde, Ricardo Chacartegui, Luis A. Pérez-Maqueda, Pau Gimenez-Gavarrell   +4 more
doaj   +1 more source

Student Attitudes Toward Client Sponsors and Learning: An Analysis of the Effects of Incorporating a Client Sponsored Project in an Introductory Marketing Course [PDF]

, 2013
This study examines i) the effects of a client-sponsored project (CSP) on student attitudes toward a sponsoring client, ii) the effects of a CSP on student attitudes toward learning core marketing concepts, and iii) moderators of student attitudes toward
McKay-Nesbitt, Jane, Zdravkovic, Srdan
core   +1 more source

Computer Vision Pipeline for Image Analysis for Freeze‐Fracture Electron Microscopy: Rosette Cellulose Synthase Complexes Case

Advanced Intelligent Discovery, EarlyView.
This paper presents a computer vision (deep learning) pipeline integrating YOLOv8 and YOLOv9 for automated detection, segmentation, and analysis of rosette cellulose synthase complexes in freeze‐fracture electron microscopy images. The study explores curated dataset expansion for model improvement and highlights pipeline accuracy, speed ...
Siri Mudunuri, Leala Carbonneau, Eric M. Roberts, Alison W. Roberts, Candace H. Haigler, Alexey V. Gulyuk, Yaroslava G. Yingling   +6 more
wiley   +1 more source

The Complexity of Combinations of Qualitative Constraint Satisfaction Problems

, 2020
The CSP of a first-order theory $T$ is the problem of deciding for a given finite set $S$ of atomic formulas whether $T \cup S$ is satisfiable. Let $T_1$ and $T_2$ be two theories with countably infinite models and disjoint signatures.
Bodirsky, Manuel, Greiner, Johannes
core   +1 more source

Generalizing Consistency and other Constraint Properties to Quantified Constraints [PDF]

, 2007
Quantified constraints and Quantified Boolean Formulae are typically much more difficult to reason with than classical constraints, because quantifier alternation makes the usual notion of solution inappropriate.
Bordeaux, Lucas, Cadoli, Marco, Mancini, Toni   +2 more
core   +2 more sources

Accelerating Discovery of Organic Molecular Crystals via Materials Informatics and Autonomous Experiments

Advanced Intelligent Discovery, EarlyView.
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi, Kazuki Ishizaki, Ryo Fukasawa   +2 more
wiley   +1 more source