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| 1 | Machine learning modeling of superconducting critical temperature显示文摘Superconductivity has been the focus of enormous research effort since its discovery more than a century ago.Yet,some features of this unique phenomenon remain poorly understood;prime among these is the connection between superconductivity and chemical/structural properties of materials.To bridge the gap,several machine learning schemes are developed herein to model the critical temperatures(T_(c))of the 12,000+known superconductors available via the SuperCon database.Materials are first divided into two classes based on their T_(c) values,above and below 10 K,and a classification model predicting this label is trained.The model uses coarse-grained features based only on the chemical compositions.It shows strong predictive power,with out-of-sample accuracy of about 92%.Separate regression models are developed to predict the values of T_(c) for cuprate,iron-based,and low-T_(c) compounds.These models also demonstrate good performance,with learned predictors offering potential insights into the mechanisms behind superconductivity in different families of materials.To improve the accuracy and interpretability of these models,new features are incorporated using materials data from the AFLOW Online Repositories.Finally,the classification and regression models are combined into a single-integrated pipeline and employed to search the entire Inorganic Crystallographic Structure Database(ICSD)for potential new superconductors.We identify>30 non-cuprate and non-iron-based oxides as candidate materials. | Valentin Stanev Corey Oses A.Gilad Kusne Efrain Rodriguez Johnpierre Paglione Stefano Curtarolo Ichiro Takeuchi | 2018 | npj Computational Materials2018，，1： | 21 |
| 2 | New frontiers for the materials genome initiative显示文摘The Materials Genome Initiative(MGI)advanced a new paradigm for materials discovery and design,namely that the pace of new materials deployment could be accelerated through complementary efforts in theory,computation,and experiment.Along with numerous successes,new challenges are inviting researchers to refocus the efforts and approaches that were originally inspired by the MGI.In May 2017,the National Science Foundation sponsored the workshop“Advancing and Accelerating Materials Innovation Through the Synergistic Interaction among Computation,Experiment,and Theory:Opening New Frontiers”to review accomplishments that emerged from investments in science and infrastructure under the MGI,identify scientific opportunities in this new environment,examine how to effectively utilize new materials innovation infrastructure,and discuss challenges in achieving accelerated materials research through the seamless integration of experiment,computation,and theory.This article summarizes key findings from the workshop and provides perspectives that aim to guide the direction of future materials research and its translation into societal impacts. | Juan J.de Pablo Nicholas E.Jackson Michael A.Webb Long-Qing Chen Joel E.Moore Dane Morgan Ryan Jacobs Tresa Pollock Darrell G.Schlom Eric S.Toberer James Analytis Ismaila Dabo Dean M.DeLongchamp Gregory A.Fiete Gregory M.Grason Geoffroy Hautier Yifei Mo Krishna Rajan Evan J.Reed Efrain Rodriguez Vladan Stevanovic Jin Suntivich Katsuyo Thornton Ji-Cheng Zhao | 2019 | npj Computational Materials2019，，1： | 7 |
| 3 | Standardization of pulsed-field gel electrophoresis protocols for the subtyping of escherichia coli O157:H7, salmonella , and shigella for PulseNet foodborne pathogens and disease显示文摘 | EFRAIN M R FAIR M A GAUTOM R | 2006 | Spring2006，3，1： | 1 |
| 4 | The dextranase along sugar-making industry显示文摘 | EFRAIN R J | 2005 | Biotecnology Application2005，22，： | 1 |
| 5 | Fabrication and modeling of uniform-waist single-mode tapered optical fiber sensors 显示文摘 | JOEL V DAVID M H EFRAIN M | 2003 | Applied Optics2003，42，13： | 1 |
| 6 | Seasonal effect on chemical composition and biological activities of Sonoran propolis显示文摘 | Dora Valencia Efrain Alday Ramon Robles-Zepeda Adriana Garibay-Escobar Juan C. Galvez-Ruiz Magali Salas-Reyes Manuel Jiménez-Estrada Enrique Velazquez-Contreras Javier Hernandez Carlos Velazquez | 2011 | Food Chemistry2011，，2： | 1 |
| 7 | Identification and countermeasures to resolve hot strip mill chatter显示文摘 | Efrain U | 2001 | AISE Steel Technology2001，78，6： | 1 |
| 8 | Organic contanminants in sediments from San Quintin Bay, Baja California, Mexico显示文摘 | EFRAIN A G G JULIO A V C GILBERTO F M | 1996 | Marine Pollution Bulletin1996，32，4： | 1 |
| 9 | Dextranase in sugar industry: a review显示文摘 | EFRAiN R J | 2009 | Sugar Technology2009，11，2： | 1 |
| 10 | Integrating expert systems and neural computing fordecision support显示文摘 | Larry Medsker Efrain Turban | 1994 | Expert systems with Applications1994，7，4： | 1 |
| 11 | Pioneer studies on HCl and silylation treatments of chrysotile显示文摘 | EFRAIN M RAY L F | 2005 | Journal of Colloid and Interface Science2005，289，： | 1 |
| 12 | The dextranase along sugar-making industry显示文摘 | Efrain Rodriaguez Jimenez | 2005 | Biotecnology Application2005，22，： | 1 |
| 13 | Motor potentials by magnetic Stimulation in periventricular leukomalacia 显示文摘 | Efrain SR Christian LC Thalta H | 2009 | Pediatr Neurol2009，40，4： | 1 |
| 14 | An MHC- restricted CD8 ~ T- cell Response is Induced in Cattle by Foot - and - Mouth Disease Virus (FMDV) Infection and Also Following Vaccination with Inactivated FMDV 显示文摘 | Efrain Guzman Geraldine Taylor Bryan Charleston | 2008 | Journal of General Virology2008，89，3： | 1 |
| 15 | Identification and Countermeasures to Resolve Hot Strip Mill Chatter显示文摘 | Efrain Ubici | 2001 | AISE Steel Technology2001，，6： | 1 |
| 16 | The role of cobalt,copper,nickel,and zinc in the DNA rep-lication inhibitory activity of p-aminophenyl triphenylporphyrin显示文摘 | Efrain Barragan Barbara Gordillo Genaro Vargas Luis Velaz-co | 2004 | Appl Organometal Chem2004，18，： | 1 |
| 17 | Is Hypemricemia the Missing Piece in the Metabolic Syndrome Puzzle?显示文摘 | Zohreh S Efrain R | 2012 | Current Hypertension Reports2012，14，2： | 1 |
| 18 | Genomic location and characterisation of nonclassical MHC class I genes in cattle 显示文摘 | James Birch Gemma Codner Efrain Guzman | 2008 | Immunogenetics2008，60，： | 1 |
| 19 | Induction of a cross-reactive CD8^+ T cell response following foot-and-mouth disease virus vaccination 显示文摘 | EFRAIN G GERALDINE T BRYAN C | 2010 | J Virol2010，84，12： | 1 |
| 20 | Three-dimensional printing of shape mcmory alloys显示文摘 | Carreno-Morelli Efrain Sebastien Martinerie | 2007 | Materials science forum2007，1，534536： | 1 |
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