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Journals

Entanglement Distribution over a Polarization-Stabilized Aerial Fiber

Author(s)
Yicheng Shi, Anouar Rahmouni, Pranish Shrestha, Mheni Merzouki, Abdella Battou, Oliver Slattery, Thomas Gerrits, Mehdi Namazi, Mael Flament, Anne Margaret Lazenby, Gabriel Bello Portmann, Jing Su
Distributing quantum entanglement over telecommunication fiber is a fundamental task in metropolitan-scale quantum networks, enabling advanced applications such...

Erratum: "Anisotropic coarse-grain Monte Carlo simulations of lysozyme, lactoferrin, and NISTmAb by precomputing atomistic models" [J. Chem. Phys., 161, 094113 (2024)]

Author(s)
Harold Hatch, Christina Bergonzo, Marco Blanco, Guangcui N. Yuan, Sergei Grudinin, Mikael Lund, Joseph E. Curtis, Alexander Grishaev, Yun Liu, Vincent Shen
The authors initiate a correction to Hatch et al. [J. Chem. Phys., 161, 094113 (2024)]. If the particles are of the same type, particle swap symmetry was...

Brain Health and the Gut Microbiome (bMicrobiome Study): A Proof-of-Concept, Feasibility Study Integrating Shotgun Metagenomics, Metrology, and Multidimensional Phenotyping Across the Cognitive Aging Spectrum

Author(s)
Leigh Frame, Alison Warren, Abdelmohsen Al Qalam, Patrick Corr, Mina Farah, Michaela Karam, Katherine Rangoussis, Mehrshad Fahim Devin, Zeynep Celikkol, Lindsey Gordon, Daniel Villarreal, Elizabeth Catto, Yvonne Udam, Katherine Thompson, Owen Lubinski, Abdallah Samman, Alia Badawi, Holly Hack, Monique Hunter, Ian Hines, Stephanie Servetas, Scott Jackson, Nur A Hasan, Mikhail Kogan
Background: Gut microbiome alterations have been associated with cognitive decline inconsistently, owing to insufficient power, methodological variability...

From Intermolecular Poses to Thermodynamics Using Subdivided Spheres

Author(s)
Isabel Vinterbladh, Jordan Bye, Robin Curtis, Harold Hatch, Sergei Grudinin, Mikael Lund
Computing molecular thermodynamic properties is instrumental in multiple scientific disciplines, such as statistical physics, N-body simulations, and molecular...

Determinism analysis in Hybrid-LLM-GNN modeling for materials property prediction

Author(s)
Youjia Li, Daniel Wines, Kamal Choudhary, Vishu Gupta, MUHAMMED NUR TALHA KILIC, Sayak Chakrabarty, Wei-keng Liao, Alok Choudhary, Ankit Agrawal
Driven by advances in artificial intelligence and the growing availability of databases, machine learning (ML) now plays a central role in data-driven materials...

130-nm CMOS-Integrated Superparamagnetic Tunnel Junction-Based p-bit

Author(s)
Nuno Cacoilo, Juyoung Yoon, Advait Madhavan, Jabez McClelland, Shun Kanai, Shunsuke Fukami, William Borders
Probabilistic computers offer promising solutions for computationally hard problems in domains such as combinatorial optimization and machine learning. A key...

Procedural Rigor and Reproducibility in NMR Metabolomics: Community Practices and Challenges

Author(s)
Tracey Johnston, Leo Cheng, Anastasios Theodorou, Marie Phelan, Goncalo J Gouveia, Robert Powers, Panteleimon Takis, Fabio Casu, Robert Brua, Gagandeep Kaur, Wimal Pathmasiri, Teklab Gebregiworgis, Valerie Copie
Nuclear magnetic resonance (NMR) spectroscopy is a fundamental tool of metabolomics, valued for its reproducibility, quantitative accuracy, and broad...
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