Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB<sub>2</sub> Superconductors Using Room Temperature Resistivity

<div>Effect of nano-silicon carbide and graphene on <svg height="12.2532pt" id="M86" style="vertical-align:-3.29108pt" version="1.1" viewbox="-0.0498162 -8.96212 13.9844 12.2532" width="13.9844pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M620 675H597C578 656 570 650 541 650H144C112 650 104 653 94 675H72C59 618 42 552 23 493L53 491C71 534 88 564 105 585C124 608 144 615 238 615H290L197 121C182 40 174 34 88 28L82 0H361L367 28C275 34 266 38 281 121L374 615H441C522 615 543 608 553 583C562 560 566 531 565 493L597 494C603 551 612 629 620 675Z" id="g113-85"></path><glyph.data ascent="3473" descent="-2876" horiz-adv-x="637" vert-adv-y="637"></glyph.data></g><g transform="matrix(.0091,0,0,-0.0091,7.176,3.132)"><path d="M690 629C653 643 577 667 483 667C225 667 24 528 24 292C24 92 174 -17 367 -17C448 -17 534 1 570 10C592 34 642 131 658 174C648 180 639 186 629 192C562 89 499 21 382 21C223 21 130 138 130 298C130 467 255 627 462 627C582 627 643 589 650 462L686 466C689 517 688 580 690 629Z" id="g50-68"></path><glyph.data ascent="3443" descent="-2856" horiz-adv-x="714" vert-adv-y="714"></glyph.data></g></svg> of MgB<sub>2</sub> superconductor using the developed model.</div>

Applied Computational Intelligence and Soft Computing

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Figure 3

Figure 3: Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB<sub>2</sub> Superconductors Using Room Temperature Resistivity 

Figure 3 | Computational Intelligence Approach for Estimating Superconducting Transition Temperature of Disordered MgB2 Superconductors Using Room Temperature Resistivity 