Nanoconfinement‐Induced Second‐Harmonic Circular Dichroism via Chirality–Ferroelectric Coupling
Nanoconfinement of a ferroelectric nematic liquid crystal within a chiral nanoporous sponge yields an enhanced second‐harmonic generation circular dichroism (|gSHG–CD| ≈ 1.1). Polarization‐resolved analysis suggests an additional magnetic‐dipole‐associated nonlinear contribution under nanoconfinement, highlighting chirality–ferroelectric coupling as a ...
Jae‐Jin Lee +5 more
wiley +1 more source
Anharmonic and surface effects on thermodynamic properties of Ag, Al, and Cu nanostructures. [PDF]
Dat HX, Thao NT, Hieu HK.
europepmc +1 more source
Advancing Reproducibility and Open Data in Theoretical and Computational Chemistry [PDF]
Rommie E. Amaro +28 more
openalex +1 more source
Preferential Interfacial Engineering of Hydrogels via Interdigitated Nanoparticle Assembly
Robust surface functionalization of hydrogel surfaces is performed via interdigitated metal nanoparticle assembly, inducing strong affinity with the hydrogel matrix. The partially exposed nanoparticle domains act as interfacial nanobridges that mediate both chemical and physical bonding with diverse materials, including small molecules, fluorous ...
Hyeonjin Kim +11 more
wiley +1 more source
Spectroscopic characterization and DFT-based structural analysis of a novel sulfonyl-acetamide imidazole derivative with multi-target protein docking studies. [PDF]
Geetha R +8 more
europepmc +1 more source
Melanin content directly controls fungal spore mechanical properties, with pigmented spores achieving rupture forces two orders of magnitude higher than hyaline spores. Environmental stress drives this quantity‐quality tradeoff; stressed species invest energy in melanin‐reinforced, mechanically superior thick‐walled, super‐hydrophobic spores, while ...
Atul Agrawal, Steven E. Naleway
wiley +1 more source
Toward Accurate RIXS Spectra at Heavy Element Edges: A Relativistic Four-Component and Exact Two-Component TDDFT Approach. [PDF]
Konecny L +3 more
europepmc +1 more source
Physics‐Grounded Materials Artificial Intelligence for Reliable Materials Discovery
Physics‐Grounded Materials AI (PhysMat AI) integrates physical priors, descriptors, constraints, verification, and data infrastructure into a unified full‐stack framework, enabling reliable, interpretable, and autonomous AI‐driven materials discovery.
Yuhang Wang +3 more
wiley +1 more source

