Experiments have traditionally played a vital role in the discovery and characterization of novel materials. Experimental research must be carried out over a lengthy period of time for a small number of materials, as it necessitates a lot of resources and equipment. Due to these constraints, significant discoveries were made primarily by human intuition or serendipity. Metals, semiconductors, ceramics, and polymers are the most common types of materials. Nanomaterials, biomaterials, and energy materials, to name a few, are among the new and sophisticated materials being produced. Machine learning is one of the most interesting new methods to enter the material science toolkit in recent years. This set of statistical tools has already demonstrated its ability to significantly accelerate both fundamental and practical research. At present, there is a plethora of effort being made to create and apply machine learning to solid-state systems.
- Advances in Materials Science and Engineering for Sustainable Development
- Innovations in Polymeric Materials
- Advances in Mineral Resources Engineering
Ephraim Suhir
Portland State University, United States
Richard J Spontak
North Carolina State University, United States
Thomas J Webster
Interstellar Therapeutics, United States
George S Dulikravich
Florida International University, United States
Valeriy A Buryachenko
Micromechanics & Composites LLC, United States
Ephraim Suhir
Portland State University, United States
Anis Rahman
Applied Research & Photonics, Inc, United States
Aleksey Vasiliev
East Tennessee State University, United States
Will Skene
Montreal University, Canada
Robert Buenker
University of Wuppertal, GermanySubmit your abstract Today
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Title : Failure oriented accelerated testing in electronics and photonics materials engineering: Types, roles, attributes, modeling
Ephraim Suhir, Portland State University, United States
Title : Dynamic explicit analysis of composite shear walls strengthened with fiber reinforced polymer (FRP) and subjected to blast load
Mahdi Hosseini, Nanjing Forestry University, China
Title : Introducing picotechnology: An exciting extension of nanotechnology
Thomas J Webster, Interstellar Therapeutics, United States
Title : Color control of electrochromes by structural modification
Will Skene, Montreal University, Canada
Title : From pixels to properties: Material classification via machine learning
K L Vasundhara, Stanley College of Engineering and Technology for Women, India
Title : The failure of both einsteins space-time theory and his equivalence principle and their resolution by the uniform scaling Method
Robert Buenker, University of Wuppertal, Germany
Title : Smart biomaterials in healthcare industry
Kilari Jyothsna Devi, PVPSIT, India
Title : Effect of impact load on posttension slabs reinforced with fiber reinforced polymers (RFP), using numerical analysis
Mohammad El Ilani, Beirut Arab University, Lebanon
Title : ZnO and Fe-doped ZnO nanoparticles: Their antibacterial and photocatalytic activities
Wahidur Raza, University of Chittagong, Bangladesh
Title : Nickel ferrite nanoparticles: Chemical synthesis and photocatalytic efficiency for degradation of organic pollutants
Samiya Fariha, University of Chittagong, Bangladesh