Results 161 to 170 of about 11,277 (194)

Relative invariants of the polynomial rings over the finite and tame type quivers(Combinatorial Aspects in Representation Theory and Geometry)

Relative invariants of the polynomial rings over the finite and tame type quivers(Combinatorial Aspects in Representation Theory and Geometry)
openaire  

Bioinspired Designs for Lightweighting, a Critical Review for Manufacturing. [PDF]

Biomimetics (Basel)
Kenny V, Bapat S, Smith P, La Scala J, Malshe AP.   +4 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Finite size approximation for representations of $U_q(\widehat{\mathfrak{sl}}(n))$(Combinatorial Aspects in Representation Theory and Geometry)

Finite size approximation for representations of $U_q(\widehat{\mathfrak{sl}}(n))$(Combinatorial Aspects in Representation Theory and Geometry)
openaire  

Optimising Sensor Placement in Heritage Buildings: A Comparison of Model-Based and Data-Driven Approaches. [PDF]

Sensors (Basel)
Chaves E, Barontini A, Mendes N, Compán V.   +3 more
europepmc   +1 more source

Multiscale Architecture and Mechanics of the Cell Nucleus: Implications for Disease, Bioengineering and Nanomedicine

Advanced Science, EarlyView.
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu, Xin Chen, Qingyang Zhao, Weikang Tan, Lingrui Zhu, Kin Liao, Vincent Chan, Nicolae Goga, Winfred O. Larkotey, Yang Li, Yinghui Shi, Wenya Shu, Lin Wang, Weiqing Wang, Tian Jian Lu, Yulong Han   +15 more
wiley   +1 more source

Leveraging Machine Learning for Porosity Prediction in AM Using FDM for Pretrained Models and Process Development. [PDF]

Materials (Basel)
Ouajjani K, Steck JE, Olivares G.
europepmc   +1 more source

Advanced Multiscale Modeling for Revealing Anomalous Fluid Transport Induced by Confinement Interfacial Layer Reconstruction in Sub‐10 nm Space

Advanced Science, EarlyView.
Integrating experimental insights with molecular dynamics simulations, we establish an advanced mathematical model for fluids confined in sub‐10‐nm channels, enabling quantitative prediction of interfacial layer thickness and viscosity by accounting for channel material, temperature, and fluid properties.
Xiang Zhang, Bing Wei, Jingyi Wang, Runnan Wu   +3 more
wiley   +1 more source

A complex network perspective on brain disease. [PDF]

Biol Rev Camb Philos Soc
Papo D, Buldú JM.
europepmc   +1 more source

Effects of Biases in Geometric and Physics-Based Imaging Attributes on Classification Performance. [PDF]

J Imaging
Rouhani B, Tsotsos JK.
europepmc   +1 more source