Results 71 to 80 of about 102,718 (302)

Taming Existence in RDF Querying [PDF]

, 2008
We introduce the recursive, rule-based RDF query language RDFLog. RDFLog extends previous RDF query languages by arbitrary quantifier alternation: blank nodes may occur in the scope of all, some, or none of the universal variables of a rule.
Bry, François, Calvanese, Diego, Furche, Tim, Ley, Clemens, Linse, Benedikt, Marnette, Bruno   +5 more
core   +2 more sources

Dual Impact of Long‐Lived Localized Carriers Induced by Restricted Hole Transfer in Organic Photovoltaics and Photocatalytic Hydrogen Evolution

Advanced Energy Materials, EarlyView.
This work clarifies why organic semiconductors perform differently in photovoltaic devices and photocatalytic nanoparticles. By examining D18:Y5 and PM6:Y6 systems, we show how aggregation, exciton lifetime, and interfacial charge transfer behavior govern energy‐conversion pathways.
Gayoung Ham, Sanghyeok An, Wooteak Jung, Hyun Min Kwon, Seonghyeon Kang, Jaehyuk Lee, Sowon Kim, Changwoo Park, Damin Lee, Young Yong Kim, Sungjin Jo, Chang Yun Son, Sae Byeok Jo, Dae Sung Chung, Hyojung Cha   +14 more
wiley   +1 more source

Location, Internationalization and Performance of Firms in Italy: a Multilevel Approach [PDF]

Competition is increasingly crossing borders. However, location still matters: the most successful competitors in an industry often cluster in the same geographic areas and companies use the advantages of location to compete at a global level.
Giorgia Giovannetti, Giorgio Ricchiuti, Margherita Velucchi   +2 more
core  

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

Aid Effort and Its Determinants: A Comparison of the Italian Performance with other OECD Donors [PDF]

this paper aims at contributing to a better understanding of the determinants of aid effort by donor countries, a topic that has been rather under researched in the vast economic literature on development aid.
Francesco Manaresi, Giovanni Andrea Cornia, Simone Bertoli   +2 more
core  

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Biofertilizers, Nitrogen and Phosphorus on Yield and Nutrient Economy in Forage Sorghum Affected by Nutrient Management in Preceding Mustard

International Journal of Bio-Resource and Stress Management, 2010
The results of field experiment conducted during 2003-04 and 2004-05 revealed that green and dry fodder yield of sorghum were highest when the crop received recom­mended dose of fertilizer (RDF) at 60 kg N+30 kg P2O5 ha-1, but the crop yielded ...
A. V. Ramanjaneyulu, G. Giri, S. R. Kumar   +2 more
doaj  

The informational structure of migration decision and migrants’ self-selection [PDF]

This paper derives the implications for migrants’ self-selection in unobservables that arise from the introduction of uncertainty in the decision problem that would-be migrants face.
Simone Bertoli
core  

Graphically Querying RDF Using RDF-GL

, 2010
In today's data-driven world, we observe an ever-increasing need for information, which fuels the importance of the ability to query large databases quickly and efficiently. For a large share, this growing need is addressed by tools and languages aimed at performing complex queries on distributed data.
Hogenboom, F.P., Milea, D.V., Frasincar, F., Kaymak, U.   +3 more
openaire   +2 more sources

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source