Results 131 to 140 of about 55,873 (316)
Advanced Energy Materials, EarlyView.This roadmap offers a forward‐looking perspective on spin enhancement in the oxygen evolution reaction. It highlights how combining systematic experiments, advanced computational modeling, and novel magnetic, chiral, or hybrid materials can deepen the understanding of spin‐dependent catalytic mechanisms.
Emma van der Minne +29 more
wiley +1 more source
Loop-Erased Random Walks, Spanning Trees and Hamiltonian Cycles [PDF]
, 2000 Philippe Marchal
openalex +1 more source
Advanced Energy and Sustainability Research, EarlyView.An aqueous potassium‐ion battery using vanadium hexacyanoferrate (VHCF) as the cathode and graphite as the anode is presented. During charge/discharge, K+ ions shuttle between electrodes through the electrolyte, enabling energy storage. The VHCF material demonstrates high capacity (≈121 mAh g−1), fast kinetics, and eco‐friendliness, making it a ...
Nilasha Maiti +10 more
wiley +1 more source
Designing Memristive Materials for Artificial Dynamic Intelligence
Advanced Intelligent Discovery, EarlyView.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
Angewandte Chemie, EarlyView.This study illustrates distinct quantum interference effect in saturated systems as compared to their unsaturated counterparts and the origin of multiple conductance features observed in single molecule conductance experiments of different isomers of bipiperdine and their in‐situ generated dithiocarbamates.
Umar Rashid +5 more
wiley +2 more sources
Partial monotonizations of Hamiltonian cycle polytopes: dimensions and diameters [PDF]
, 2000 Gerard Sierksma, Ruud Teunter
openalex +1 more source
Advanced Intelligent Discovery, EarlyView.This work investigates the optimal initial data size for surrogate‐based active learning in functional material optimization. Using factorization machine (FM)‐based quadratic unconstrained binary optimization (QUBO) surrogates and averaged piecewise linear regression, we show that adequate initial data accelerates convergence, enhances efficiency, and ...
Seongmin Kim, In‐Saeng Suh
wiley +1 more source
Unveiling the Influence of Formation Voltage on Li‐Rich Layered Oxide Cathode
Angewandte Chemie, EarlyView.This work reveals the trade‐off between “high capacity/low cycling” of LRLO under high‐voltage formation (HVF). The HVF protocol promotes the charge transfer of anions/cations which is attributed to the increased O5 (OLiyTM1) configuration due to the in‐plane transition metal (TM) migration, thereby resulting in high capacity.
Kang Zhang +21 more
wiley +2 more sources
Bifurcations of limit cycles from cubic Hamiltonian systems with a center and a homoclinic saddle-loop [PDF]
, 2000 Yulin Zhao, Zhi‐Yong Zhang
openalex +1 more source
Energy‐Efficient Knapsack Optimization Using Probabilistic Memristor Crossbars
Advanced Intelligent Systems, EarlyView.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