On Graphs Embeddable in a Layer of a Hypercube and Their Extremal Numbers. [PDF]
Axenovich M, Martin RR, Winter C.
europepmc +1 more source
Non‐Noble Metal Nanocatalysts for Hydrogen Evolution
Recent overviews and latest developments of diverse classes of non‐noble catalysts for application toward high‐performance photocatalysis, thermocatalytic steam reforming, and electrocatalysis. Toward sustainability objectives, several advanced characterization tools in combination with the latest breakthroughs in machine learning for material ...
Lina Jaya Diguna +7 more
wiley +1 more source
Evaluating global measures of network centralization: Axiomatic and numerical assessments. [PDF]
Saberi M, Aref S.
europepmc +1 more source
This study reveals a novel GC therapy targeting cholesterol homeostasis. Inhibiting the SCAP sterol‐sensing domain causes lethal ER stress via cholesterol accumulation, paradoxically forcing continuous synthesis that triggers ferroptosis. The findings link sterol sensing, metabolic dysregulation, and ferroptosis, establishing an anti‐cancer paradigm ...
Qianqian Xu +17 more
wiley +1 more source
Lower bounds for the Zagreb indices of trees with given total domination number and its applications in QSPR studies of alkanes. [PDF]
Manuel M, Parthiban A.
europepmc +1 more source
Sombor index of directed graphs. [PDF]
Cruz R, Monsalve J, Rada J.
europepmc +1 more source
Exact Discrete Stochastic Simulation With Deep‐Learning‐Scale Gradient Optimization
A 203,796‐parameter gene regulatory network classifies handwritten digits with 98.4% accuracy using exact stochastic dynamics. The framework decouples forward simulation from backward differentiation, making continuous‐time Markov chain models compatible with deep‐learning optimization.
Jose M. G. Vilar, Leonor Saiz
wiley +1 more source
On tricyclic graphs with maximum atom-bond sum-connectivity index. [PDF]
Noureen S +5 more
europepmc +1 more source
Enumeration of the Multiplicative Degree-Kirchhoff Index in the Random Polygonal Chains. [PDF]
Zhu W, Geng X.
europepmc +1 more source
Machine‐Learning Framework for Designing Stable Interfaces in All‐Solid‐State Lithium‐Ion Batteries
A data‐driven strategy is developed to discover coating materials for all‐solid‐state lithium batteries. Using calculations of interfacial reactivity, unsupervised pattern recognition, and machine‐learning prediction, the study identifies low‐reactivity compositional patterns and screens new lithium‐based oxide and polyanion candidates, extending ...
Sehyeok Park +4 more
wiley +1 more source

