Prediction of physicochemical properties of organic compounds using degree-based topological indices and machine learning models. [PDF]
Noureen S +4 more
europepmc +1 more source
To Be or Not to Be Eutectic: Anomalous Glass Forming Ability Governed by Melt Structural Complexity
Challenging the eutectic rule, congruently melting Ti–Cu alloys show greater glass‐forming ability than their eutectic counterparts. This arises from the congruent melt's structural complexity: higher cluster diversity and stronger inter‐cluster correlations from entropy–enthalpy competition.
Wei Chen +18 more
wiley +1 more source
Exploring topological indices and power curve fitting models for predicting heat of formation in magnesium aluminate network. [PDF]
Nazir S, Siddiqui MK, Hayat H, Gegbe B.
europepmc +1 more source
A VDAP‐programmed liquid‐crystalline depot enables pH‐responsive postoperative immunotherapy for triple‐negative breast cancer. VDAP stabilizes a leakage‐resistant HII mesophase through peptide–lipid electrostatic assembly, whereas tumor acidosis unlocks the matrix and promotes graded topology remodeling toward a bicontinuous Im3̄m cubic phase for ...
Yan Yan +12 more
wiley +1 more source
Comparative structural analysis of certain covalent organic frameworks through entropy and degree-based topological indices. [PDF]
Sajeev F, S R, K J, B GK.
europepmc +1 more source
Metasurface‐Based Multidimensional Light‐Field Manipulation: From Technologies to Applications
Multidimensional metasurfaces enable versatile manipulation of multiple optical degrees of freedom, including phase, amplitude, polarization, wavelength, and orbital angular momentum. This review summarizes their fundamental mechanisms, emerging strategies for multidimensional light‐field control, and key applications in optical computing, imaging ...
Heliang Yin +6 more
wiley +1 more source
ChemGraphX: an open-source web tool for computing topological indices and entropy measures. [PDF]
Jacob K +3 more
europepmc +1 more source
An AI‐Driven Framework for Directed Self‐Assembly Toward Design‐Technology Co‐Optimization
An artificial intelligence (AI)‐driven closed‐loop framework integrates experiment, three‐dimensional physics‐based simulation, and template design for directed self‐assembly (DSA). Guided by experimental data, AI‐assisted calibration accelerates model optimization, supports morphology prediction, and identifies template windows.
Caiwei Shang +9 more
wiley +1 more source
Leveraging topological indices and machine learning for advanced prediction of antidepressant drug properties. [PDF]
Zhang G +6 more
europepmc +1 more source
We present a complete T2T genome assembly for a key bat reservoir. Integrating population genomics, comparative genomics, transcriptomics, single‐cell omics, and functional assays, we resolve previously inaccessible genomic regions and identify evolutionary signatures associated with immune adaptation.
Yuting Wang +15 more
wiley +1 more source

