Results 111 to 120 of about 6,027,160 (189)

Machine Learning Interatomic Potentials for Energy Materials: Architectures, Training Strategies, and Applications

Advanced Energy Materials, EarlyView.
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park, Saeed Pourasad, Jinhong Mun, Arunkumar Chitteth Rajan, Tae Hyeon Park, Anand Rohit, Mohammad Zafari, Tan‐Lien Pham, Eunjae Jung, Bonseung Koo, Miran Ha, Gi Beom Sim, Hyun Gyu Park, Won Woong Choi, Kwanghyeon Jo, Soohaeng Yoo Willow, David ChangMo Yang, Chang Woo Myung, Geunsik Lee, Kwang S. Kim   +19 more
wiley   +1 more source

Adaptive G-UKT: a unified probabilistic framework for knowledge tracing via adaptive graph topology learning and uncertainty-aware Gaussian embeddings. [PDF]

Sci Rep
Jia N, Su W, Xian J, Zou S, Xia Y.
europepmc   +1 more source

From Top to Bottom: Manufacturing Process‐Context Aware Resolution of Energy Device Electrodes Through a 3D Diffusion Generative Model

Advanced Energy Materials, EarlyView.
The application of a generative diffusion model, enhanced with a training data augmentation pipeline retaining the manufacturing process context of electrode microstructures, leads to improved fidelity of the through‐plane tortuosity factor in the AI generated samples.
Victor Ramirez‐Camacho, Siwar Ben Hadj Ali, Maxence Desnoyers, Francisco Fernandez, Nassima Benammar, Alejandro A. Franco   +5 more
wiley   +1 more source

A Novel Unsupervised Learning Model with Bayesian Hyperparameter Optimization for Predicting Substrates of Promiscuous Enzymes. [PDF]

ACS Omega
Gao R, Duan C, Qin N, Liu Y, Liu K, Tsuboi T, Chen Z.   +6 more
europepmc   +1 more source

Experimentally Determined Spatiotemporal Charge Carrier Dynamics for the Development of Particulate Photocatalysts

Advanced Energy Materials, EarlyView.
This review looks at the different experimental techniques that measure spatiotemporal charge carrier dynamics. This information is viewed in the context of particulate photocatalysts, outlining the insights these techniques provide and how they advance our understanding.
Sutripto Khasnabis, Robert Godin
wiley   +1 more source

Intelligent pavement management: a machine learning framework for condition classification and maintenance prioritization. [PDF]

Sci Rep
Gupta B, Agrawal M, Narooka P, Panwar D, Anand S.   +4 more
europepmc   +1 more source

How Competitive Is Myanmar's Rice Sector? A Comparison of Production Costs and Efficiency

Agribusiness, EarlyView.
ABSTRACT This paper analyzes the cost competitiveness of rice production in Myanmar by examining production costs, cost efficiency, and the potential effect of improving cost efficiency on the country's global competitiveness. To achieve this, we conduct a comparative analysis of production costs among major rice‐producing countries and estimate the ...
Nandar Aye Chan, Orkhan Sariyev, Mohammad Ariful Islam, Manfred Zeller   +3 more
wiley   +1 more source

Data assimilation approach for addressing incompleteness in pedestrian flow measurement techniques using particle filter. [PDF]

PLoS One
Murata R, Tanaka K.
europepmc   +1 more source

Is Youth's Engagement in Agribusiness an Opportunity or a Necessity? A Closer Look at the Situation in South Kivu, Eastern Democratic Republic of the Congo

Agribusiness, EarlyView.
ABSTRACT Despite the broad focus on necessity‐ and opportunity‐driven entrepreneurship in research and policy, the entrepreneurial dichotomy within the agribusiness context has not been adequately addressed. This study contributes to closing this knowledge gap by examining youth's perceptions of agribusiness through the lens of the push‐pull motivation
Cool Dady Mangole, Paul Martin Dontsop Nguezet, Shiferaw Feleke, Victor Manyong, Kamala Kaghoma Christian, Zoumana Bamba, Tahirou Abdoulaye   +6 more
wiley   +1 more source

Linking Electronic Health Records for Multiple Sclerosis Research: Comparative Study of Deterministic, Probabilistic, and Machine Learning Linkage Methods. [PDF]

JMIR Med Inform
Almadani O, Albogami Y, Alrwisan A.
europepmc   +1 more source