Results 171 to 180 of about 6,569,328 (328)

Photonic Nanomaterials for Wearable Health Solutions

Advanced Materials, EarlyView.
This review discusses the fundamentals and applications of photonic nanomaterials in wearable health technologies. It covers light‐matter interactions, synthesis, and functionalization strategies, device assembly, and sensing capabilities. Applications include skin patches and contact lenses for diagnostics and therapy. Future perspectives emphasize AI‐
Taewoong Park, Jung Woo Leem, Young L. Kim, Chi Hwan Lee   +3 more
wiley   +1 more source

Practical Quantum Circuit Implementation for Simulating Coupled Classical Oscillators

IEEE Access
Simulating large-scale coupled-oscillator systems presents substantial computational challenges for classical algorithms, particularly when pursuing first-principles analyses in the thermodynamic limit.
Natt Luangsirapornchai, Peeranat Sanglaor, Apimuk Sornsaeng, Stephane Bressan, Thiparat Chotibut, Kamonluk Suksen, Prabhas Chongstitvatana   +6 more
doaj   +1 more source

Quantum algorithm for electronic band structures with local tight-binding orbitals. [PDF]

Sci Rep, 2022
Sherbert K, Jayaraj A, Buongiorno Nardelli M.   +2 more
europepmc   +1 more source

Mechanochemistry for Metal–Organic Frameworks and Covalent–Organic Frameworks (MOFs, COFs): Methods, Materials, and Mechanisms

Advanced Materials, EarlyView.
An overview is provided of the mechanochemistry of metal‐organic frameworks (MOFs) and covalent‐organic frameworks (COFs), highlighting opportunities and strategies for discovery, synthesis and reactivity studies of these materials. Mechanistic studies and comparisons to the mechanochemistry of organic solids are outlined, showcasing how advances in ...
Joseph M. Marrett, Farshid Effaty, Xavier Ottenwaelder, Tomislav Friščić   +3 more
wiley   +1 more source

Efficient Quantum Answer Set Programming Solver Using Partial Diffusion and Entanglement

IEEE Access
The relation between answer set programming (ASP) and combinatorial problems, especially the satisfiability problem (SAT), has attracted significant interest in the academic literature.
Esraa Ebdelrehime, Ahmed Younes, Islam Elkabani   +2 more
doaj   +1 more source

The Promise of Solid Lubricants for a Sustainable Future

Advanced Materials, EarlyView.
Lubricants are vital for technology, saving energy and resources. The industry seeks sustainable solutions beyond fossil fuels. Solid lubricants offer extremely low friction and reduce environmental impact, especially in harsh conditions. Can these solids truly replace liquid lubricants, or are they limited to extreme applications?
Philipp G. Grützmacher, Andrey A. Voevodin, András Korényi‐Both, Maria Clelia Righi, Christopher DellaCorte, Nazlim Bagcivan, Ali Erdemir, Carsten Gachot   +7 more
wiley   +1 more source

Simulation of Quantum Discrete Cosine Transform for Grayscale Image Compression Using Qiskit

IEEE Access
The Discrete Cosine Transform (DCT) is an integral part of classical image compression, which becomes the basis of the JPEG standard. With advances in quantum computing, there is growing interest in exploring quantum analogues of classical algorithms for
Felix Montalfu, Seham Al Abdul Wahid, Farah Mohammadi, Arghavan Asad   +3 more
doaj   +1 more source

Quantum algorithm for alchemical optimization in material design. [PDF]

Chem Sci, 2021
Barkoutsos PK, Gkritsis F, Ollitrault PJ, Sokolov IO, Woerner S, Tavernelli I.   +5 more
europepmc   +1 more source

Designing Physical Unclonable Functions From Optically Active Materials

Advanced Materials, EarlyView.
Assigning unforgeable “fingerprints” to manufactured goods is a key strategy to fight global counterfeiting. Optical physical unclonable functions (PUFs) are chemically generated random patterns of optically active materials serving as unique authenticators.
Maxime Klausen, Junfang Zhang, Molly M. Stevens   +2 more
wiley   +1 more source

Quantum Classification Outside the Promised Class

Computers
This paper studies the important problem of quantum classification of Boolean functions from an entirely novel perspective. Typically, quantum classification algorithms allow us to classify functions with a probability of 1.0, if we are promised that ...
Theodore Andronikos, Constantinos Bitsakos, Konstantinos Nikas, Georgios I. Goumas, Nectarios Koziris   +4 more
doaj   +1 more source