Results 111 to 120 of about 131,401 (219)

In-Sensor-Memory Computing for Post-Von Neumann Intelligence: A Perspective. [PDF]

Nanomicro Lett
Tang H, Yu N, Min P, Guo R, Zhang G.
europepmc   +1 more source

Cascadable in-memory computing based on symmetric writing and readout. [PDF]

Sci Adv, 2022
Wang L, Xiong J, Cheng B, Dai Y, Wang F, Pan C, Cao T, Liu X, Wang P, Chen M, Yan S, Liu Z, Xiao J, Xu X, Wang Z, Shi Y, Cheong SW, Zhang H, Liang SJ, Miao F.   +19 more
europepmc   +1 more source

Multimodal Data‐Driven Microstructure Characterization

Advanced Engineering Materials, EarlyView.
A self‐consistent autonomous workflow for EBSP‐based microstructure segmentation by integrating PCA, GMM clustering, and cNMF with information‐theoretic parameter selection, requiring no user input. An optimal ROI size related to characteristic grain size is identified.
Qi Zhang, Santiago Benito, Özge Özgün, Sebastian Weber, Markus Stricker   +4 more
wiley   +1 more source

Correction: In-Sensor-Memory Computing for Post-Von Neumann Intelligence: A Perspective. [PDF]

Nanomicro Lett
Tang H, Yu N, Min P, Guo R, Zhang G.
europepmc   +1 more source

Recycling of NiTi Shape Memory Alloys: Fundamental and Technological Aspects of a Vacuum Induction Melting Processing Route

Advanced Engineering Materials, EarlyView.
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee, Son Tung Mai, Sarath Menon, Braulio Gadiel Sánchez Ortega, Ralf Drautz, Alexander Kauffmann, Gunther Eggeler, Jan Frenzel   +7 more
wiley   +1 more source

High-clockrate free-space optical in-memory computing. [PDF]

Light Sci Appl
Liang Y, Wang J, Xue K, Ren X, Yin R, Ou S, Zhou L, Li Y, Heuser T, Heermeier N, Christen I, Lott JA, Reitzenstein S, Yu M, Chen Z.   +14 more
europepmc   +1 more source

Toward memristive in-memory computing: principles and applications. [PDF]

Front Optoelectron, 2022
Bao H, Zhou H, Li J, Pei H, Tian J, Yang L, Ren S, Tong S, Li Y, He Y, Chen J, Cai Y, Wu H, Liu Q, Wan Q, Miao X.   +15 more
europepmc   +1 more source

Molecular Dynamics Studies of Shape Memory Polymers: From Bead–Spring Models to Atomistic Simulations

Advanced Engineering Materials, EarlyView.
Coarse‐grained (left) and atomistic (right) models of the shape memory polymer ESTANE ETE 75DT3 are shown schematically. The two representations bridge molecular detail and mesoscopic description. Both models capture shape memory behavior, linking segmental mobility and conformational relaxation of anisotropic chains to macroscopic recovery, and ...
Fathollah Varnik
wiley   +1 more source

Achieving high precision in analog in-memory computing systems. [PDF]

Npj Unconv Comput
Mannocci P, Larelli G, Bonomi M, Ielmini D.   +3 more
europepmc   +1 more source

High-Performance On-Chip Racetrack Resonator Based on GSST-Slot for In-Memory Computing. [PDF]

Nanomaterials (Basel), 2023
Zhu H, Lu Y, Cai L.
europepmc   +1 more source