Computational, Data-Driven, and Physics-Informed Machine Learning Approaches for Microstructure Modeling in Metal Additive Manufacturing [PDF]
Dhara Patel, Rahul Sharma, Y. B. Guo
openalex +1 more source
Physics-informed transformers for electronic quantum states. [PDF]
Sobral JA, Perle M, Scheurer MS.
europepmc +1 more source
Designing stable Ru nanoparticle catalyst remains a critical challenge in electrochemical applications. Here, a strategy is presented to stabilize Ru catalysts by leveraging Ce‐doped ZrO2 supports (ZrCeO2‐x), which enhance catalyst durability and activity through electronic metal‐support interactions and stabilized oxygen vacancies.
Mansu Kim +9 more
wiley +1 more source
Molecular insights on the mechanism of α1-antitrypsin condensate formation and maturation. [PDF]
Sanchez-Burgos I +4 more
europepmc +1 more source
The SERS spectra of reporter molecules adsorbed on chiral gold nanorods depends on the handedness of circularly polarized light (CPL‐SERS). The bisignate plasmonic CD spectra of chiral nanorods provides wavelength‐dependent CPL‐SERS. Selective discrimination of chiral nanorod handedness and different Raman reporters allow highly sensitive codification ...
Andrés Serrano‐Freijeiro +9 more
wiley +1 more source
Review of: "Bridging Classical and Computational Physics: Integrating Unsolvable Differential Equations into Undergraduate Education" [PDF]
Akhtar Hussain
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Computational investigation of thermodynamic properties of gas phase vanadium nitride using Python. [PDF]
Yame MP +5 more
europepmc +1 more source
Selective Benzene Capture by Metal‐Organic Frameworks
Metal‐organic frameworks (MOFs) hold significant potential for capturing benzene from air emissions and hydrocarbon mixtures in liquid phases. This capability stems from their precisely engineered structures, versatile chemistries, and diverse binding interactions.
Zongsu Han +4 more
wiley +1 more source
Validation of a physics-based computational model of epicardial and microvascular coronary physiology against continuous infusion thermodilution [PDF]
Daniel Taylor +20 more
openalex +1 more source
Information-distilled physics informed deep learning for high order differential inverse problems with extreme discontinuities. [PDF]
Peng M, Tang H.
europepmc +1 more source

