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source:miningweeklyThe information derived from a study published on the mineralogy and distribution of rare-earth elements in the high-ash coals of South Africa’s Waterberg coalfield could assist with a new concept of logging coal seams.This logging, as reported by Mining Weekly last year, takes into account the rare earth elemental composition of coal, rather than only thermal coal’s energy characteristics related to its use in power generation.This potentially far-reaching study was conducted by the Clean Coal Technology research group at the University of the Witwatersrand (Wits), in Johan...
Release time: 2023 - 04 - 07
viewed:1
source:newsMaterials known as metal-organic frameworks (MOFs) have a rigid, cage-like structure that lends itself to a variety of applications, from gas storage to drug delivery. By changing the building blocks that go into the materials, or the way they are arranged, researchers can design MOFs suited to different uses.However, not all possible MOF structures are stable enough to be deployed for applications such as catalyzing reactions or storing gases. To help researchers figure out which MOF structures might work best for a given application, MIT researchers have developed a computational ...
Release time: 2023 - 04 - 07
viewed:1
soure:stockheadRockTalk is a Stockhead video series featuring a roundtable of resources experts discussing a new macro topic each week.  In this episode, host Peter Strachan takes a look at the Australia’s rapidly expanding battery metals sector.Populating the expert panel for this discussion are Tony Rovira, managing director at Azure Minerals (ASX:AZS) and Michael Schwarz, managing director at iTech Minerals (ASX:ITM).Azure Minerals is a Western Australian-focused mineral exploration company progressing nickel, copper and gold projects which offer significant upside through strong ...
Release time: 2023 - 04 - 06
viewed:4
Short-term memory capacity analysis of Lu3Fe4Co0.5Si0.5O12-based spin cluster glass towards reservoir computingsource:natureAbstractReservoir computing is a brain heuristic computing paradigm that can complete training at a high speed. The learning performance of a reservoir computing system relies on its nonlinearity and short-term memory ability. As physical implementation, spintronic reservoir computing has attracted considerable attention because of its low power consumption and small size. However, few studies have focused on developing the short-term memory ability of the material itself...
Release time: 2023 - 04 - 03
viewed:1
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