Results 201 to 210 of about 746,739 (376)
Designing Memristive Materials for Artificial Dynamic Intelligence
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
Non-connection methods for some connection geometries based on canonical equations of Hamiltonian types of II-geodesic curves [PDF]
Tsurusaburo Takasu
openalex +1 more source
Applied Artificial Intelligence in Materials Science and Material Design
AI‐driven methods are transforming materials science by accelerating material discovery, design, and analysis, leveraging large datasets to enhance predictive modeling and streamline experimental techniques. This review highlights advancements in AI applications across spectroscopy, microscopy, and molecular design, enabling efficient material ...
Emigdio Chávez‐Angel+7 more
wiley +1 more source
Constructing the time independent Hamiltonian from a time dependent one
Dobrski Michał
doaj +1 more source
Generalized Hamiltonian dynamics
P. Dirac
semanticscholar +1 more source
Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars
The knapsack problem, a nondeterministic polynomial‐time (NP)‐hard combinatorial optimization problem, is solved energy‐efficiently. This work presents an algorithm‐hardware co‐design and implementation for practical (non‐ideal) NP‐hard problems with destabilizing self‐feedback (non‐zero diagonal) and non‐binary Hamiltonian representations under analog
Jinzhan Li, Suhas Kumar, Su‐in Yi
wiley +1 more source
The combination of a parity‐time symmetry wireless technology with a cholesterol sensor integrated into a smart contact lens enables high‐sensitivity cholesterol sensing at low concentration. Cholesterol plays a critical role in physiological functions, but elevated levels increase the risk of cardiovascular disease.
Yang Cui+4 more
wiley +1 more source
Effective Hamiltonian of Weak Interaction and Quartet Model [PDF]
Mituaki Katuya, Yoshio Koide
openalex +1 more source
Signatures of the Correlated‐Hopping Interaction in Non‐Linear Transport Through a Quantum Dot
Non‐linear thermoelectric transport through a quantum dot is studied, in order to elucidate the signatures of so‐called correlated hopping. The line shapes of the differential conductance and the Seebeck coefficient as functions of gate voltage are clear indicators of this important interaction term.
Ulrich Eckern, Karol I. Wysokiński
wiley +1 more source