Results 201 to 210 of about 31,541 (244)
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
The engineering of colloidal nanocrystals with complex compositions has emerged as a highly active area of research within nanomaterials science. This review covers key aspects of colloidal solid‐solution nanocrystal formation using pulsed laser irradiation.
Marina T. Candela +4 more
wiley +1 more source
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung +9 more
wiley +1 more source
Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen +7 more
wiley +1 more source
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Measuring Business Excellence, 2001
This paper discusses the use of the analytic hierarchy process (AHP) in assigning weights to a group of elements. The weighting of elements has two major functions. First, it is employed to prioritize (rank) elements so that the key elements can be determined. This may for example help to establish the key measures for business performance.
Eddie W.L. Cheng, Heng Li
openaire +2 more sources
This paper discusses the use of the analytic hierarchy process (AHP) in assigning weights to a group of elements. The weighting of elements has two major functions. First, it is employed to prioritize (rank) elements so that the key elements can be determined. This may for example help to establish the key measures for business performance.
Eddie W.L. Cheng, Heng Li
openaire +2 more sources
An Analytic Hierarchy Process for Student Motivation
2023This paper presents an application of the Analytic Hierarchy Process (AHP) to evaluate student motivation in a university setting. The aim is to identify and prioritize factors affecting student motivation, including academic, personal, and environmental factors.
Robiul Islam 0001 +3 more
openaire +3 more sources
The Analytic Hierarchy Process—An Exposition
Operations Research, 2001This exposition on the Analytic Hierarchy Process (AHP) has the following objectives: (1) to discuss why AHP is a general methodology for a wide variety of decision and other applications, (2) to present brief descriptions of successful applications of the AHP, and (3) to elaborate on academic discourses relevant to the efficacy and applicability of ...
Ernest H. Forman, Saul I. Gass
openaire +1 more source
On teaching the analytic hierarchy process
Computers & Operations Research, 2003zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lawrence Bodin, Saul I. Gass
openaire +1 more source
Hesitant analytic hierarchy process
European Journal of Operational Research, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bin Zhu 0017 +3 more
openaire +2 more sources

