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.
Title : Introducing picotechnology: An exciting extension of nanotechnology
Thomas J Webster, Interstellar Therapeutics, United States
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 : Material challenges with proton conducting ceramics for intermediate temperature hydrogenation/dehydrogenation applications
Saheli Biswas, Commonwealth Scientific and Industrial Research Organisation, Australia
Title : Porphyrin layers at metal-electrolyte interfaces monitored by EC-STM and CV
Marek Nowicki, University of Wroclaw, Poland
Title : Color control of electrochromes by structural modification
Will Skene, Montreal University, Canada
Title : Make experiments more efficient: Two simple and powerful approaches. Mg2Si growth for photovoltaic and thermoelectric applications
Alexander S Gouralnik , Institute of Automation and Control Processes, Russian Federation
Title : Reconfigurable antenna structures using tunable materials
Nasimuddin, Institute for Infocomm Research, Singapore
Title : (0, 1 and 2) Dimensional hybrid architecture of the synthesized materials leads the smart sensing of the gaseous species at low/room temperature
D R Patil, North Maharashtra University, India
Title : Enhanced grain refinement, precipitates regulation, and improved mechanical properties of cast Al-Li alloy by Ti addition and heat treatment
Lixiong Shao, Shanghai Jiao Tong University, China
Title : Broadband sound attenuation of shape memory polymer with triangular-honeycomb unit cell metamaterial structural design
Musaab Ejaz, Universiti Teknologi PETRONAS (UTP), Malaysia