Results 301 to 310 of about 221,566 (370)

A scalable cloud-integrated AI platform for real-time optimization of EV charging and resilient microgrid energy management. [PDF]

Sci Rep
Singh AR, Rathore RS, Jiang W, Thakare A, Kumar RS, Khadse CB, Addis HK.   +6 more
europepmc   +1 more source

Using Bayesian Networks to assess the risk appetite of construction contractors [PDF]

, 2013
Cattell, David, Love, Peter
core  

Challenges and enablers in fluidization technology

AIChE Journal, EarlyView.
Abstract Gas–solid fluidized beds provide excellent heat and mass transfer for high‐throughput operations from coating to catalytic conversion and underpin emerging low‐carbon technologies. Yet industrial reliability, scale‐up, and control lag scientific understanding, particularly as finer, stickier, and more variable feedstocks increasingly challenge
J. Ruud van Ommen, Jia Wei Chew
wiley   +1 more source

From theory to autonomy: a topic modelling study of quantum finance through the lens of Datatopia and TOE. [PDF]

Front Artif Intell
Desu VDSR, Vivek Raj SN.
europepmc   +1 more source

Information Dense and Industry Scalable Accelerated Formation

Advanced Intelligent Discovery, EarlyView.
Pulsed formation can reduce lithium‐ion battery formation time by over 50% while maintaining or enhancing performance. Validated on 25 Ah prismatic cells, this industry‐scalable method yields thinner, more homogeneous solid electrolyte interphases (SEIs).
Leon Merker, Markus Blessing, Bojing Zhang, Helge Sören Stein   +3 more
wiley   +1 more source

Optimal operation of distributed generation and storage systems in microgrids under real-time pricing using biogeography-based optimization algorithm. [PDF]

Sci Rep
Ahmed EM, Ahmadi Kamarposhti M, Alnuman H, Alshahir A, Ezzeldien M, Barhoumi EM, Colak I.   +6 more
europepmc   +1 more source

A Comprehensive Assessment and Benchmark Study of Large Atomistic Foundation Models for Phonons

Advanced Intelligent Discovery, EarlyView.
We benchmark six large atomistic foundation models on 2429 crystalline materials for phonon transport properties. The rapid development of universal machine learning potentials (uMLPs) has enabled efficient, accurate predictions of diverse material properties across broad chemical spaces.
Md Zaibul Anam, Ogheneyoma Aghoghovbia, Mohammed Al‐Fahdi, Lingyu Kong, Victor Fung, Ming Hu   +5 more
wiley   +1 more source

The Impacts of Global Climate Change and Environmental Security on Fruits and Vegetables-A Policy-Technology Nexus Perspective. [PDF]

Foods
Wang X, Xing M, Li J, Li B.
europepmc   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

Advanced Intelligent Discovery, EarlyView.
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley   +1 more source

Research on intelligent decision support platform for tourism enterprises based on multi-source heterogeneous data fusion. [PDF]

Sci Rep
Song M.
europepmc   +1 more source