Results 161 to 170 of about 342,447 (287)
Operator-level quantum acceleration of non-logconcave sampling. [PDF]
Leng J, Ding Z, Chen Z, Lin L.
europepmc +1 more source
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Intertwining Operators Beyond the Stark Effect. [PDF]
Fanelli L +4 more
europepmc +1 more source
Advancing Energy Materials by In Situ Atomic Scale Methods
Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Breaking the Cross-Sensitivity Degeneracy in FBG Sensors: A Physics-Informed Co-Design Framework for Robust Discrimination. [PDF]
Yalınbaş F, Yılmaz G.
europepmc +1 more source
Roadmap for High‐Throughput Ceramic Materials Synthesis and Discovery for Batteries
This work examines ceramic synthesis through the lens of high‐throughput synthesis and optimization, identifying opportunities for faster, adaptable routes. It emphasizes flexible liquid precursor–to–solid film methods over slower solid‐state approaches and highlights computer‐aided decision making to optimize both material properties and device ...
Jesse J. Hinricher +10 more
wiley +1 more source
Machine Learning-Driven Cooling Window Design Beyond Hyperbolic Metamaterials. [PDF]
Seo SB +6 more
europepmc +1 more source
ABSTRACT Interpreting the impedance response of perovskite solar cells (PSCs) is challenging due to the complex coupling of ionic and electronic motion. While drift‐diffusion (DD) modelling is a reliable method, its mathematical complexity makes directly extracting physical parameters from experimental data infeasible.
Mahmoud Nabil +4 more
wiley +1 more source
First-principles simulation of spin diffusion in static solids using dynamic mean-field theory. [PDF]
Gräßer T, Uhrig GS, Ernst M.
europepmc +1 more source
The borate‐based cobalt‐iron catalyst promotes selective oxidation of water rather than chlorine evolution reaction during electrolysis of seawater. When integrated into a zero‐gap electrolyzer prototype, this catalyst supports robust splitting of artificial seawater into oxygen and hydrogen on an extended timescale.
Ananta R. Fareza +10 more
wiley +1 more source

