Results 171 to 180 of about 1,072,835 (287)

A clock synchronization method based on quantum entanglement. [PDF]

Sci Rep, 2022
Shi J, Shen S.
europepmc   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source

Quantum entanglement for identifying true coincidences in a CZT-based PET system. [PDF]

Proc SPIE Int Soc Opt Eng, 2023
Nikolakakis E, Romanchek G, Enlow E, Abbaszadeh S.   +3 more
europepmc   +1 more source

The Interoperability Challenge in DFT Workflows Across Implementations

Advanced Intelligent Discovery, EarlyView.
Interoperability and cross‐validation remain major challenges in the computational materials science. In this work, we introduce a common input/output standard that enables internal translation across multiple workflow managers—AiiDA, PerQueue, Pipeline Pilot, and SimStack—while producing results in a unified schema.
Simon K. Steensen, Tushar Singh Thakur, Manuel Dillenz, Johan M. Carlsson, Celso R. C. Rêgo, Eibar Flores, Hamidreza Hajiyani, Felix Hanke, Juan María García Lastra, Wolfgang Wenzel, Nicola Marzari, Tejs Vegge, Giovanni Pizzi, Ivano E. Castelli   +13 more
wiley   +1 more source

Quantum Entanglement and State-Transference in Fenna-Matthews-Olson Complexes: A Post-Experimental Simulation Analysis in the Computational Biology Domain. [PDF]

Int J Mol Sci, 2023
Delgado F, Enríquez M.
europepmc   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

THE QUANTUM WORLD: UNDERSTANDING QUANTUM ENTANGLEMENT

Worldwide Journal of Physics
Quantum entanglement stands as one of the most profound and non-intuitive phenomena in quantum mechanics, challenging classical notions of locality and realism.
Iqbal Ahmed, Hafiz Muhammad Ali, Amna Saghir   +2 more
doaj  

Spin quantum entanglement in non-commutative curved space-time. [PDF]

Indian J Phys Proc Indian Assoc Cultiv Sci (2004), 2022
Mohadi A, Mebarki N, Aissaoui H, Boussahel M.   +3 more
europepmc   +1 more source

Multi‐Property Machine Learning Models to Accelerate the Transition Toward Bio‐Based Emulsion Polymers

Advanced Intelligent Discovery, EarlyView.
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary, Nicholas Ballard   +1 more
wiley   +1 more source

Accurate Image Multi-Class Classification Neural Network Model with Quantum Entanglement Approach. [PDF]

Sensors (Basel), 2023
Riaz F, Abdulla S, Suzuki H, Ganguly S, Deo RC, Hopkins S.   +5 more
europepmc   +1 more source