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UID:0-7059@eng.ufl.edu
DTSTART;TZID=America/New_York:20241119T150000
DTEND;TZID=America/New_York:20241119T160000
DTSTAMP:20251201T210011Z
URL:https://www.eng.ufl.edu/news-events/events/mse-seminar-integrated-data
 -science-and-computational-materials-science-to-tackle-challenges-of-compl
 ex-materials-2/
SUMMARY:MSE Seminar: "Integrated Data-Science and Computational Materials S
 cience to Tackle Challenges of Complex Materials"
DESCRIPTION:Abstract\nAs we push the boundaries of materials for applicatio
 ns in ever-increasing extreme environments\, novel and often complex mater
 ials are needed that require creative design strategies from electron-to-m
 icrostructure levels. To understand the intertwined electronic and atomic 
 mechanisms in complex materials\, the traditional computational tools that
  have been highly successful now need to be integrated with sophisticated 
 methods. A fitting example is high entropy materials (HEMs) that consist o
 f multiple principal elements in large proportions in contrast to one prin
 cipal element in conventional/dilute alloys. Robust data-science methods o
 ffer a rigorous path forward to overcome the multi-dimensional challenge.\
 n\nOur group uses machine learning algorithms in conjunction with physics-
 based principles and databases to unveil key structure-property correlatio
 ns that are otherwise unintuitive in complex materials. In this presentati
 on\, I will discuss our new data-science integrated computational material
 s science approach\, namely PREDICT (Predict properties from Existing Data
 bases in Complex materials Territory)\, whereby properties in complex allo
 ys are predicted by learning from simpler alloys. I will also discuss how 
 charge-density can be used as a universal descriptor for properties’ pre
 diction. I will also discuss database frameworks being developed in our gr
 oup.\nBio\nDilpuneet Aidhy\, Ph.D.\nAssociate Professor\nClemson Universit
 y\nDr. Dilpuneet Aidhy is an Associate Professor in the Department of Mat
 erials Science and Engineering at Clemson University. His expertise is in 
 computational materials science\, including density functional theory\, mo
 lecular dynamics simulations\, and machine learning applied to solid-state
  materials. His areas of interest include metallic alloys and ceramic oxid
 es. His work is primarily focused on understanding the thermodynamics and 
 kinetics of defects\, grain boundaries\, mechanical and radiation damage p
 roperties\, ion transport\, and electrochemistry in functional oxides. In 
 the past few years\, his work has extensively focused on developing data s
 cience-based methods to predict properties of high entropy materials.\n\nH
 e is on the editorial board of Computational Materials Science\, Scientifi
 c Reports\, and Frontiers in Materials. He received his Ph.D. in materials
  science and engineering from the University of Florida in 2009.
CATEGORIES:Seminars
LOCATION:Rhines Hall Room 125\, 549 Gale Lemerand Drive\, Gainesville\, FL\
 , 32611\, United States
GEO:29.644403;-82.350403
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=549 Gale Lemerand Drive\, G
 ainesville\, FL\, 32611\, United States;X-APPLE-RADIUS=100;X-TITLE=Rhines 
 Hall Room 125:geo:29.644403,-82.350403
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