Results 191 to 200 of about 7,123 (302)

Breakdown strength and dielectric recover investigation inside a supercritical switch

, 2014
J Jin Zhang, van Ejm Bert Heesch, Takao Namihira, Fjcm Frank Beckers, Ajm Guus Pemen   +4 more
openalex   +1 more source

Design and optimization of processes for recovering rare earth elements from end‐of‐life permanent magnets

AIChE Journal, EarlyView.
Abstract Recovery of rare earth elements (REEs) from end‐of‐life (EOL) products represents a strategic opportunity to strengthen the domestic supply chain for rare earth elements. This work presents a superstructure‐based optimization framework for finding the most economical processing pathway for different EOL rare earth permanent magnets (REPMs ...
Chris Laliwala, Oluwamayowa O. Amusat, Akintomiwa Ojo, Alejandro Garciadiego, Thomas Tarka, Debangsu Bhattacharyya, Ana I. Torres   +6 more
wiley   +1 more source

Air-Breakdown Triboelectric Nanogenerator Inspired by Transistor Architecture for Low-Force Human-Machine Interfaces. [PDF]

Nanomicro Lett
Munirathinam K, Li L, Shanmugasundaram A, Park J, Lee DW.   +4 more
europepmc   +1 more source

Improved thermal conductivity and AC dielectric breakdown strength of silicone rubber/BN composites

, 2020
Maryam Sarkarat, Michael T. Lanagan, Dipankar Ghosh, Andrew Lottes, Kent Budd, Ramakrishnan Rajagopalan   +5 more
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Methodology for quantifying particle charge statistics in electric fields of gas insulations. [PDF]

Sci Rep
Töpper HC, Scherrer S, Isa L, Franck CM.   +3 more
europepmc   +1 more source

Dataset for Dielectric Breakdown Strength and Electrical Conductivity of Low Density Polyethylene Octylnanosilica Composite

, 2016
Suvi Virtanen, A. S. Vaughan, Lupeng Yang, Fernán Saiz, N. Quirke   +4 more
openalex   +1 more source

Bayesian Optimization Guiding the Experimental Mapping of the Pareto Front of Mechanical and Flame‐Retardant Properties in Polyamide Nanocomposites

Advanced Intelligent Discovery, EarlyView.
Bayesian optimization enabled the design of PA56 system with just 8 wt% additives, achieving limiting oxygen index 30.5%, tensile strength 80.9 MPa, and UL‐94 V‐0 rating. Without prior knowledge, the algorithm uncovered synergistic effects between aluminum diethyl‐phosphinate and nanoclay.
Burcu Ozdemir, Miguel Hernández‐del‐Valle, Christina Schenk, De‐Yi Wang, Maciej Haranczyk   +4 more
wiley   +1 more source

Free-Volume Regulation Enables Significantly Enhanced Electrical Breakdown via Short-Chain Molecular Spatial-Positioning Intercalation into Poly(vinylidene fluoride). [PDF]

Adv Sci (Weinh)
Wang Z, Xie J, Hu W.
europepmc   +1 more source

Toward Capacitive In‐Memory‐Computing: A Device to Systems Level Perspective on the Future of Artificial Intelligence Hardware

Advanced Intelligent Discovery, EarlyView.
Capacitive, charge‐domain compute‐in‐memory (CIM) stores weights as capacitance,eliminating DC sneak paths and IR‐drop, yielding near‐zero standbypower. In this perspective, we present a device to systems level performance analysis of most promising architectures and predict apathway for upscaling capacitive CIM for sustainable edge computing ...
Kapil Bhardwaj, Ella Paasio, Sayani Majumdar   +2 more
wiley   +1 more source