Results 51 to 60 of about 463 (201)
The new Cu‐containing MOF (Me2NH2)(CuICl2)@[Cu4(INA)4Cl2O]·1.5dmf (3) contains a cation and an anion as guests and shows UV‐near‐mid‐IR absorption and near‐IR emission. MOF 3 shows gas‐solid reactivity in the presence of NH3 and HCOOH to yield two new 3D MOF.
Rajat Saha +10 more
wiley +1 more source
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam +6 more
wiley +1 more source
Digitizing the Past: Computational Methods for Manuscript Decipherment in Bangladesh
Abstract This research article focuses on the role of the computational methods in deciphering, prese- -rvation and access of Manuscripts in Bangla- -desh.The study tackles a contemporary heritage challenge, in which both Bengali and multilingual manuscripts are often fragile, dispersed, hard to read, and poorly linked into searchable digital ...
openaire +2 more sources
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son +20 more
wiley +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
A Novel QKD Approach to Enhance IIOT Privacy and Computational Knacks. [PDF]
Singamaneni KK +5 more
europepmc +1 more source
Voynich Manuscript — Complete Deterministic Decipherment Using the 25×3 Causevic Pro Method
Voynich Manuscript — Complete Deterministic Decipherment Using the 25×3 Causevic Pro Method (English Edition) This work presents a fully deterministic solution to the Voynich Manuscript through the application of the25×3 Causević Pro Method, developed as a stable, reproducible algorithm based on a triple positional character model, RTL logic, and ...
openaire +2 more sources
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Field‐programmed anisotropy imparts material‐level intelligence to soft composites. Magnetic torque dynamics drive magneto‐piezoelectric nanowires from random dispersion into deterministic axial alignment. The resulting hierarchical percolation networks confine electromechanical coupling to specific axes and intrinsically decouple superposed force ...
Yubin Kim +9 more
wiley +1 more source
Bayesian-based decipherment of in-depth information in bacterial chemical sensing beyond pleasant/unpleasant responses. [PDF]
Tanaka H +10 more
europepmc +1 more source

