Results 121 to 130 of about 35,918 (305)
Machine Learning for Fluid Thermodynamics: State of the Art and Open Challenges
This paper presents a critical survey on adopting machine learning in solving complex real fluid thermodynamics problems. After reviewing the primary computational machine learning frameworks employed in thermodynamic modelling, we have analysed current ...
Federico Succetti +4 more
doaj +1 more source
Microgel‐based 3D printed constructs represent a compelling and versatile innovation for engineering architecturally complex, dynamically remodelable, and biocompatible structures with high structural fidelity and bioactivity. By integrating material design, biofabrication, and biological function, these systems enable the development of adaptive ...
Elena Ghighină +2 more
wiley +1 more source
Variational formulation of the first principle of continuum thermodynamics
The First Principle of Continuum Thermodynamics is formulated as a variational condition whose test fields are piecewise constant virtual temperatures. Lagrange multipliers theorem is applied to relax the constraint of piecewise constancy of test fields.
DIACO, MARINA +2 more
core +1 more source
Atomic Layer Deposition Processes: Versatile Platforms for Engineering ZnO‐Chitosan Biointerfaces
Vapour phase metalation (VPM), multiplied pulsed vapour phase infiltration (MPI), and O2 plasma‑enhanced atomic layer deposition (PEALD) tailor Zn–chitosan (Zn‑CS) films. PEALD improves wettability and biocompatibility. MPI enhances semiconductor behavior. Antiseptic selectivity: VPM → E. coli; MPI → H. pylori.
Mabel Moreno +17 more
wiley +1 more source
Deciphering the complexities of crystalline state(s) with molecular simulations
Predicting the outcome of a crystallization process remains a long-standing challenge in solid state chemistry. This stems from the subtle interplay between thermodynamics and kinetics that results in a complex crystal energy landscape, spanned by many ...
Caroline Desgranges, Jerome Delhommelle
doaj +1 more source
Computational thermodynamics in ferrite content prediction of austenitic stainless steel weldments
In this paper, four computational approaches using Thermo-Calc and DICTRA have been used to calculate the ferrite content of a set of austenitic stainless steel welds with different solidification modes and ferrite contents. To evaluate the computational
Wessman, Sten +1 more
core +1 more source
Transition metal oxy/carbo‐nitrides show great promise as catalysts for sustainable processes. A Mn‐Mo mixed‐metal oxynitride attains remarkable performance for the direct synthesis of acetonitrile, an important commodity chemical, via sequential C─N and C─C coupling from syngas (C1) and ammonia (N1) feedstocks.
M. Elena Martínez‐Monje +7 more
wiley +1 more source
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu +3 more
wiley +1 more source
Efficiency optimization in quantum computing: balancing thermodynamics and computational performance
We investigate the computational efficiency and thermodynamic cost of the D-Wave quantum annealer under reverse-annealing with and without pausing. Our demonstration on the D-Wave 2000Q annealer shows that the combination of reverse-annealing and pausing
Tomasz Śmierzchalski +3 more
doaj +1 more source
Resolving the Structural Duality of Graphene Grain Boundaries
Cantilever ncAFM resolves the atomic structure of grain boundaries in graphene, revealing coexisting stable and metastable types. Both contain pentagon/heptagon defects, but metastable GBs show irregular geometries. Modeling shows metastable GBs form under compression, exhibiting vertical corrugation, while stable GBs are flat.
Haojie Guo +11 more
wiley +1 more source

