Results 231 to 240 of about 143,000 (295)
Gelation as a Dynamical Instability of the Smoluchowski Flow. [PDF]
Dedola M, Cademartiri L.
europepmc +1 more source
CFD modeling and sensitivity‐guided design of silicon filament CVD reactors
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis +8 more
wiley +1 more source
Design of a Cylindrical Thermal Rotary Concentrator Based on Transformation Thermodynamics. [PDF]
Xia G, He X, Jia Y, Zhu Y, Tian Z.
europepmc +1 more source
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim +2 more
wiley +1 more source
Measurement-induced phase transitions in informational active matter. [PDF]
VanSaders B, Fruchart M, Vitelli V.
europepmc +1 more source
Abstract In cryogenic CO2 desublimation systems where phase change dominates both heat transfer and separation, conventional lumped thermal‐resistance treatments embed interfacial latent heat into an overall heat‐transfer coefficient, obscuring how phase‐change heat is partitioned between the gas phase and the coolant and limiting diagnostic insight ...
Shengwen Xiao +2 more
wiley +1 more source
Unifying Environmental Stress Cracking and Mechano-Sorptive Creep Under the Umbrella of Mechano-Sorptive Phenomena. [PDF]
Yan Y +4 more
europepmc +1 more source
Quantitative Spectral Rigidity and Finite-Time Spectral Thermodynamics in Reversible Markov Chains [PDF]
Qiao Wang
openalex
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source
Entropy of a Quasi-de Sitter Spacetime and the Role of Specific Heat. [PDF]
Luongo O, Azizinia M, Boshkayev K.
europepmc +1 more source

