Results 221 to 230 of about 499,314 (280)

Combining Electrochemical Reduction with Biosynthesis for Directed Conversion of CO2 into a Library of C3 Chemicals

Advanced Science, EarlyView.
In the H‐type electrolytic cell, carbon dioxide is reduced to acetic acid via electro‐microbial catalysis. The simply processed acetic acid is further converted through biological fermentation into high‐value‐added products, including acrylic acid, L‐lactic acid, and β‐alanine.
Kaixing Xiao, Shanquan Liang, Xujun Zhao, Zhiyao Peng, Ruoshi Luo, Jikai Zong, Ling Zhou, Yude Su, Dan Wang   +8 more
wiley   +1 more source

Optimizing predictive maintenance and mission assignment to enhance fleet readiness under uncertainty. [PDF]

Auton Intell Syst
O'Neil R, Khatab A, Diallo C.
europepmc   +1 more source

Study of Resistive Switching Dynamics and Memory States Equilibria in Analog Filamentary Conductive‐Metal‐Oxide/HfOx ReRAM via Compact Modeling

Advanced Electronic Materials, EarlyView.
A physics‐based compact model for Conductive‐Metal‐Oxide/HfOx ReRAM, accounting for ion dynamics, electronic conduction, and thermal effects, is presented. Accurate and versatile simulations of analog non‐volatile conductance modulation and memory state stabilization enable reliable circuit‐level studies, advancing the optimization of neuromorphic and ...
Matteo Galetta, Donato Francesco Falcone, Victoria Clerico, Wooseok Choi, Stephan Menzel, Antonio La Porta, Tommaso Stecconi, Folkert Horst, Bert Jan Offrein, Valeria Bragaglia   +9 more
wiley   +1 more source

Numerical Integration of Stochastic Differential Equations: The Heun Algorithm Revisited and the Itô-Stratonovich Calculus. [PDF]

Entropy (Basel)
Mannella R.
europepmc   +1 more source

RRAM Variability Harvesting for CIM‐Integrated TRNG

Advanced Electronic Materials, EarlyView.
This work demonstrates a compute‐in‐memory‐compatible true random number generator that harvests intrinsic cycle‐to‐cycle variability from a 1T1R RRAM array. Parallel entropy extraction enables high‐throughput bit generation without dedicated circuits. This approach achieves NIST‐compliant randomness and low per‐bit energy, offering a scalable hardware
Ankit Bende, Gokulnath Rajendran, Regina Dittmann, Anupam Chattopadhyay, Vikas Rana   +4 more
wiley   +1 more source

Direct and Inverse Steady-State Heat Conduction in Materials with Discontinuous Thermal Conductivity: Hybrid Difference/Meshless Monte Carlo Approaches. [PDF]

Materials (Basel)
Milewski S.
europepmc   +1 more source

Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference

Advanced Electronic Materials, EarlyView.
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho, Dae‐won Kim, Yujin Kim, Jung‐Heum Na, Yuwon Jeong, Dong‐Yeop Lee, Shinhyun Choi   +6 more
wiley   +1 more source

Robust securable economic operation of grid-connected renewable integrated energy system with hydrogen storage and electric and fuel cell vehicles. [PDF]

Sci Rep
Varei H, Zayandehroodi H, Shahbazzadeh MJ, Eslami M.   +3 more
europepmc   +1 more source