Results 181 to 190 of about 3,891 (249)
Emergent discrete space-time crystal of Majorana-like quasiparticles in chiral liquid crystals. [PDF]
Zhao H, Zhang R, Smalyukh II.
europepmc +1 more source
ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray +3 more
wiley +1 more source
On the Stochastic Motion Induced by Magnetic Fields in Random Environments. [PDF]
Kang YJ, Jung JW, Seo SK, Kim K.
europepmc +1 more source
A graphene oxide/collagen scaffold is developed for chronic massive rotator cuff tear repair. The scaffold improves compressive stability, supports reparative mesenchymal differentiation, and modulates the immune microenvironment. In chronic MRCT models, it reduces muscle degeneration, enhances tendon–bone regeneration, and improves functional recovery,
Renwen Wan +24 more
wiley +1 more source
Multi-Pattern Generalization in CO<sub>2</sub>‑EOR: Physically Consistent Surrogate for Saturation-Field Evolution. [PDF]
Zhao J, Dong Y, Zhang J, Wu K.
europepmc +1 more source
Polymorphic Superparaelectric Engineering Boosting Energy Storage Capacity in BaTiO3‐Based Ceramics
Herein, Ca2+ incorporation promotes the coexistence of CaTiO3‐/BaTiO3‐derived paraferroelectric states, stabilizing cubic‐orthorhombic‐tetragonal polymorphic superparaelectric phases. This minimizes polarization energy barriers, facilitating full polarization saturation without compromising efficiency.
Pan Liu +9 more
wiley +1 more source
Methodological Development and Theoretical Framework for the Isotopic Analysis of Mass Spectral Fragments of Phytol Using Orbitrap Mass Spectrometry. [PDF]
Tomečková Öztoprak M +4 more
europepmc +1 more source
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin +12 more
wiley +1 more source

