Results 71 to 80 of about 527,254 (288)
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu +6 more
wiley +1 more source
A mixed ion‐electron conducting polymer binder, PEDOT:PSSTFSI, enhances both ionic and electronic transport in NMC‐based positive electrode composite (PEC) for ASSBs. Optimal polymer loading (0.33 wt.% in PEC) provides the most balanced transport, with an effective conductivities (σel/σion) ratio closest to unity, enabling high discharge capacity at 1 ...
Elina Nazmutdinova +6 more
wiley +1 more source
Wpływ dokarmiania dolistnego na zdrowotność roślin ziemniaka w okresie wegetacji
Badania oparto na wynikach doświadczenia polowego, przeprowadzonego w latach 2004–2006 na glebie kompleksu żytniego dobrego. Eksperyment założono metodą losowanych podbloków, a badano technologie uprawy: technologię z zastosowaniem bioregulatora wzrostu
BARBARA SAWICKA, DOMINIKA SKIBA
doaj
Abstract Under time‐varying electricity prices, the production costs of Power‐to‐X processes with intermediate storage can be reduced by simultaneously optimizing the process unit design and size with their scheduling and operation. However, the production cost sensitivity to optimal process design or scheduling is unclear, especially when several ...
Simone Mucci, Dominik Bongartz
wiley +1 more source
Etude des différentes étapes de la transformation du cacao depuis le produit brut jusqu'aux produits finis. Le traitement du cacao : le fruit, la récolte, l'écabossage, la fermentation, le séchage, le stockage. La préparation des produits de chocolaterie
Barel, Michel
core
Selon Wisniewski, Rossom, Jia, Xu et Carroll (2015), 95% des adolescents utilisent un ou plusieurs outils technologiques pour de multiples usages.
Marie-Hélène Poulin, Camille Lefebvre
doaj +1 more source
Quantization‐aware training creates resource‐efficient structured state space sequential S4(D) models for ultra‐long sequence processing in edge AI hardware. Including quantization during training leads to efficiency gains compared to pure post‐training quantization.
Sebastian Siegel +5 more
wiley +1 more source
Dynamic Factor Demands and Technology Measurement under Arbitrary Expectations [PDF]
We present a dynamic model of factor demands based on expected discounted costs min-imization. While making only very mild assumptions on expectations and technology, we are able to establish a duality relationship between contemporary factor demands and
Pierre Lasserre, Pierre Ouellette
core
Der dynamische Austausch von Bindemolekülen (Dynamic Binder Exchange; DyBE) nutzt transiente Binde–Zielprotein‐Interaktionen, um die Markierungseffizienz in der superauflösenden Mikroskopie um das 15‐Fache zu steigern. DyBE kartiert die Organisation von Rezeptor‐Tyrosinkinasen (RTKs), einschließlich HER2‐Homodimere und EGFR–HER2‐Heterodimere, auf der ...
Clemens Steinek +5 more
wiley +1 more source
Eine Kern‐Schale‐Strategie wird vorgestellt, um die hohen Verluste nichtgraphitischer Hartkohlenstoffanoden zu überwinden. Aktivkohle wird durch Gasphasenabscheidung mit einer semipermeable Kohlenstoffschicht versiegelt, wodurch die SEI‐Bildung und Natriumspeicherung räumlich getrennt werden.
Paul Alexander Appel +8 more
wiley +1 more source

