Results 71 to 80 of about 4,458,384 (285)
Quantitative structure–activity relationship (QSAR) studies were performed in order to identify molecular features responsible for the antileishmanial activity of 61 adenosine analogues acting as inhibitors of the enzyme glyceraldehyde 3-phosphate ...
Norka B. H. Lozano +6 more
doaj +1 more source
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan +4 more
wiley +1 more source
Quantum chemical descriptors of quinolone derivatives in gas phase.
Quantum chemical descriptors of quinolone derivatives in gas phase.
Syeda Abida Ejaz (4816971) +9 more
core +1 more source
Donor‐Engineered Chiral Indium–Salen Complexes for Tunable Circularly Polarized Luminescence
Chiral indium–salen complexes bearing electronically and structurally diverse donor substituents are presented as modular main‐group luminophores exhibiting tunable blue‐to‐green circularly polarized luminescence. Donor engineering systematically controls frontier‐orbital distribution, intraligand charge transfer, and excited‐state relaxation ...
Haein Kim +14 more
wiley +1 more source
A set of eighteen neolignan derivative compounds with anti-schistosomiasis activity was studied by using the quantum mechanical semi-empirical method PM3 and other theoretical methods in order to calculate selected molecular properties (variables or ...
Alves Claúdio N. +7 more
doaj
Scalable molecular representations enabled by multimodal fusion and sequence distillation
Molecular prediction depends on how chemical structures are represented, yet descriptors capture only partial aspects of chemical information.
Suvendu Kumar +18 more
doaj +1 more source
This paper describes a procedure revealing the relationship between quantum chemical indices and electronic descriptors as independent variables and half-wave potential (E1/2) of quinones family as a dependent variable.
A. Beheshti, P. Norouzi, M.R. Ganjali
doaj +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
Weight loss measurement and various electrochemical AC and DC corrosion monitoring techniques are performed at 308 K using Armco iron specimens immersed in 1M HCl solution in the presence and absence of various amino acids (methionine, cysteine, cystine,
A. Aouniti, K.F. Khaled, B. Hammouti
doaj +1 more source
Can molecular and atomic descriptors predict the electrophilicity of Michael acceptors?
International audienceIn this paper, we assess the ability of various intrinsic molecular and atomic descriptors, grounded in the conceptual density functional theory and the quantum theory of atoms-in-molecules frameworks, to predict the ...
Tognetti, Vincent +2 more
core +1 more source

