Results 61 to 70 of about 972,759 (203)
Memristors Based on (Zr, Hf, Nb, Ta, Mo, W) High‐Entropy Oxides
, 2021 Memristors have emerged as transformative devices to enable neuromorphic and in‐memory computing, where success requires the identification and development of materials that can overcome challenges in retention and device variability.
Jamie D. Phillips +17 more
core +1 more source
Nb–Zr Interdiffusion In The (Hf,Ta,Ti,Nb)B2–(Hf,Ta,Ti,Zr)B2 High-Entropy Boride System
Niobium (Nb) presents a challenge for achieving homogeneous solid solutions in high-entropy boride and carbide ceramics. In this work, we synthesized (Hf,Ta,Ti,Zr)B2 (Zr-HEB) and (Hf,Ta,Ti,Nb)B2 (Nb-HEB) ceramics by boro/carbothermal reduction, followed ...
Curtarolo, Stefano +4 more
core +1 more source
Природа редкометалльного Nb-Zr-Ta-Hf-РЗЭ оруденения в углях Кузбасса и Минусинского бассейна [PDF]
, 2020 В процессе исследования были изучены минералого-геохимические особенности Nb-Ta-Zr-Hf-REE оруденения в углях, на примере XI пласта Кузнецкого и XXX пласта Минусинского бассейнов, и рассмотрена природа его формирования.
Саквина, Влада Владиславовна
core
Re‐Thinking Electronic Circuit Design Through Emerging Reconfigurable Field Effect Transistors
Advanced Science, EarlyView.Graphical illustration of reconfigurable field effect transistor (RFET) operation modes, including n‐type, p‐type, and ambipolar transport, as well as their areas of application discussed in this review: digital circuit design, analog circuit design, post‐Shannon computing, and sensing. ABSTRACT Reconfigurable field‐effect transistors, short RFETs, are
Jens Trommer +19 more
wiley +1 more source
npj Computational Materials, 2021 Recent experiments show that the chemical composition of body-centered cubic (bcc) refractory high entropy alloys (HEAs) can be tuned to enable transformation-induced plasticity (TRIP), which significantly improves the ductility of these alloys.
Yuji Ikeda +4 more
doaj +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 +6 more
wiley +1 more source
Materials Research LettersIn most Ni-free Ti-Nb- and Ti-Zr-based superelastic alloys, large amounts of high-cost and rare elements such as Nb, Ta, Hf and/or Zr are contained, increasing the cost and fabrication difficulty of the alloy.
Shuanglei Li +4 more
doaj +1 more source
, 2018 The experimantal data and the atomic mobility database for bcc Ti-Zr-Nb ...
Weimin Bai (7005770)
core +1 more source
Highly Stabilized Ni‐Rich Cathodes Enabled by Artificially Reversing Naturally‐Formed Interface
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.The application of Ni‐rich cathode materials is obstructed by interfacial and structural instability. This work proposes a facile and cost‐effective Al‐based vapor‐phase surface reaction strategy on Ni‐rich cathode to maintain its structural integrity from near‐surface to bulk.
Jinjin Ma +11 more
wiley +1 more source
Dissolved and Labile Particulate Zr, Hf, Nb, Ta, Mo and W in the Western North Pacific Ocean [PDF]
, 2008 Dissolved and labile particulate Zr, Hf, Nb, Ta, Mo and W were determined at stations K1 (51°N, 165°E), K2 (47°N, 160°E), KNOT (44°N, 155°E) and 35N (35°N, 160°E) in the western North Pacific Ocean.
YUSUKE, NAKAGAWA +4 more
core +2 more sources