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Showing 20 of 228 academic articles

Quantum computing with graphene plasmons

Irati Alonso Calafell, Joel D. Cox, Milan Radonjić, J. R. M. Saavedra et al. • npj Quantum Information (2019)

Abstract Among the various approaches to quantum computing, all-optical architectures are especially promising due to the robustness and mobility of single photons. However, the creation of the two-photon quantum logic gates required for un...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41534-019-0150-2

A quantum computing view on unitary coupled cluster theory

Abhinav Anand, Philipp Schleich, Sumner Alperin-Lea, Phillip W. K. Jensen et al. • Chemical Society Reviews (2022)

We present a review of the Unitary Coupled Cluster (UCC) ansatz and related ansätze which are used to variationally solve the electronic structure problem on quantum computers. A brief history of coupled cluster (CC) methods is provided, fo...

OPENALEX Open Access DOI: https://doi.org/10.1039/d1cs00932j

The Carbon Budget of Land Conversion: Sugarcane Expansion and Implications for a Sustainable Bioenergy Landscape in Southeastern United States

E. Blanc‐Betes, N. Gomez‐Casanovas, C. J. Bernacchi, E. H. Boughton et al. • GCB Bioenergy (2025)

ABSTRACT The expansion of sugarcane onto land currently occupied by improved (IMP) and semi‐native (SN) pastures will reshape the U.S. bioenergy landscape. We combined biometric, ground‐based and eddy covariance methods to investigate the i...

DOAJ Open Access (DOAJ) DOI: 10.1111/gcbb.70058

Renewable energy and geopolitics: A review

Roman Vakulchuk, Indra Øverland, Daniel Scholten • Renewable and Sustainable Energy Reviews (2020)

This article reviews the literature on the geopolitics of renewable energy. It finds that while the roots of this literature can be traced back to the 1970s and 1980s, most of it has been published from 2010 onwards. The following aggregate...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.rser.2019.109547

Quantum Chemistry in the Age of Quantum Computing

Yudong Cao, Jonathan Romero, Jonathan P. Olson, Matthias Degroote et al. • Chemical Reviews (2019)

Practical challenges in simulating quantum systems on classical computers have been widely recognized in the quantum physics and quantum chemistry communities over the past century. Although many approximation methods have been introduced, ...

OPENALEX Open Access DOI: https://doi.org/10.1021/acs.chemrev.8b00803

The Role of Machine Learning in Cybersecurity

Giovanni Apruzzese, Pavel Laskov, Edgardo Montes de, Wissam Mallouli et al. • Digital Threats Research and Practice (2022)

Machine Learning (ML) represents a pivotal technology for current and future information systems, and many domains already leverage the capabilities of ML. However, deployment of ML in cybersecurity is still at an early stage, revealing a s...

OPENALEX Open Access DOI: https://doi.org/10.1145/3545574

Hardware-Anchored ES-SPA: A Dynamic Zero-Trust Architecture for Secure eSIM Provisioning in 6G IoT via Moving Target Defense

Hari N. N., Kurunandan Jain, Prabu P, Prabhakar Krishnan • Future Internet (2026)

The rapid evolution of 6G networks and large-scale Internet of Things (IoT) deployments intensifies security and privacy challenges in embedded SIM (eSIM) Remote SIM Provisioning (RSP), particularly during the bootstrap and profile delivery...

DOAJ Open Access (DOAJ) DOI: 10.3390/fi18040187

Predicting Microbial Protein Synthesis in Cattle: Evaluation of Extant Equations and Steps Needed to Improve Accuracy and Precision of Future Equations

Michael L. Galyean, Luis O. Tedeschi • Animals (2024)

Predictions of microbial crude protein (MCP) synthesis for beef cattle generally rely on empirical regression equations, with intakes of energy and protein as key variables. Using a database from published literature, we developed new equat...

DOAJ Open Access (DOAJ) DOI: 10.3390/ani14192903

Knockout of

Tushar K. Dutta, Voodikala S. Akhil, Utkarsh Chauhan, Prolay K. Bhowmick et al. • Rice Science (2026)

Direct-seeded rice (DSR) offers a sustainable alternative for climate-resilient agriculture, but it is severely threatened by the root-knot nematode Meloidogyne graminicola . Knockout of susceptibility (S) genes has emerged as a promising s...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.rsci.2026.05.008

Nuclear genomic signals of the ‘microturbellarian’ roots of platyhelminth evolutionary innovation

Christopher E Laumer, Andreas Hejnol, Gonzalo Giribet • eLife (2015)

Flatworms number among the most diverse invertebrate phyla and represent the most biomedically significant branch of the major bilaterian clade Spiralia, but to date, deep evolutionary relationships within this group have been studied using...

DOAJ Open Access (DOAJ) DOI: 10.7554/eLife.05503

Combinations C-shaped root canals in mandibular premolars and second mandibular molars with each other and with the complex channels of other teeth of the lower jaw according to the cone-beam computed tomography

• Эндодонтия Today (2020)

From 340 CBCT included in this study, 65 patients (19.1%) found a C-shaped root canals in the mandibular first premolars, 13 patients (3.8%) - C-shaped root canals in mandibular second premolars, 34 (10%) patients - in the mandibular second...

DOAJ Open Access (DOAJ)

Toward a Fit-for-purpose Policy Architecture on Long-term Care in Sub-Saharan Africa: Impasse and a Research Agenda to Overcome it

Isabella Aboderin • Journal of Long-Term Care (2019)

Context: Perspectives from sub-Saharan Africa (SSA) have featured little in the expanding global debate on long-term care (LTC) policy thus far – despite SSA countries’ embrace of global commitments on the development of equitable and susta...

DOAJ Open Access (DOAJ) DOI: 10.31389/jltc.5

The Effectiveness of Arabic Stemmers Using Arabized Word Removal

Hamood ALshalabi, Sabrina Tiun, Nazlia Omar, Kamal Ali Alezabi et al. • International Journal of Information Science and Management (2022)

Other languages have influenced Arabic because of several factors, such as geographical nearness, trade communication, past Islamic conquests, science and technology, new devices, brand names, models, and fashion. As a result of these facto...

DOAJ Open Access (DOAJ)

Machine learning with persistent homology and chemical word embeddings improves prediction accuracy and interpretability in metal-organic frameworks

Aditi S. Krishnapriyan, Joseph Montoya, Maciej Haranczyk, Jens Hummelshøj et al. • Scientific Reports (2021)

Abstract Machine learning has emerged as a powerful approach in materials discovery. Its major challenge is selecting features that create interpretable representations of materials, useful across multiple prediction tasks. We introduce an ...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41598-021-88027-8