A5077855732- High Entropy Alloys Studies
- Recycling and Waste Management Techniques
- High-Temperature Coating Behaviors
- Metallic Glasses and Amorphous Alloys
- Phase-change materials and chalcogenides
- Advanced materials and composites
- Advanced Materials Characterization Techniques
- Metal and Thin Film Mechanics
- Additive Manufacturing Materials and Processes
- Extraction and Separation Processes
- Advancements in Battery Materials
- Metal Extraction and Bioleaching
- Machine Learning in Materials Science
- Minerals Flotation and Separation Techniques
- IoT and Edge/Fog Computing
- Hydrogen embrittlement and corrosion behaviors in metals
- Graphene research and applications
- Material Properties and Applications
- Aluminum Alloy Microstructure Properties
- Material Dynamics and Properties
- Music and Audio Processing
- Advanced Welding Techniques Analysis
- Chalcogenide Semiconductor Thin Films
- Magnetic Properties and Applications
- Speech Recognition and Synthesis
Indian Institute of Technology Kanpur
2020-2024
Max-Planck-Institut für Nachhaltige Materialien
2024
Deen Dayal Upadhyaya Gorakhpur University
2018
The emergence of High Entropy Alloys (HEAs) in the world materials has shifted alloy design strategy based on a single principal element to multi-principal elements where compositional space can cover almost entire span higher dimensional phase diagrams. This approach provide advanced with unique properties, including high strength sufficient ductility and fracture toughness excellent corrosion wear resistance for wide range temperatures due concentrated alloying that cannot be obtained by...
Rare earth elements (REEs) are crucial for advanced green technologies and other critical applications, including defence, medical devices, electronics, catalysts.
<title>Abstract</title> The discovery of ultra-hard multicomponent metallic glasses (MMGs) remains challenging due to the vast compositional complexity and absence physically grounded inverse design frameworks. Here, we present VIBANN—a novel AI-driven approach that synergistically combines Variational Information Bottleneck with Attention based Neural Networks, enabling interpretable uncertainty-aware MMGs record-level hardness. VIBANN compresses composition–mechanical load inputs into a...
Active learning comprises machine learning-based approaches that integrate surrogate model inference, exploitation and exploration strategies with active experimental feedback into a closed-loop framework. This approach aims at describing predicting specific material properties, without requiring lengthy, expensive or repetitive experiments. Recently, has shown potential as an for the design of sustainable materials, such scrap-compatible alloys, enhancing longevity metallic materials....
The effective disposal of ever-increasing electronic waste (e-waste) is one the grand challenges for scientific and technological community today. As e-waste has exponentially been increasing burden on our environment with long-term effects ecosystem, need finding sustainable means to recover, reuse, recycle materials available in much sought after present time. In this background, we demonstrate an easily scalable green route beneficiation usage metallic from using cryo-temperature grinding...
"Waste-to-wealth" is always a subject of significant interest due to several aspects, including effective utilization large amount e-waste by recycling valuable materials and thereby protecting the environment from pollution. Here, we have demonstrated green, easily scalable, sustainable method synthesizing graphene one major components e-waste, that is, polymeric component, using pulsed laser ablation. The proposed synthesis route showed great promise in high-quality graphene. XPS shows sp2...
Abstract High entropy alloys (HEAs) have drawn significant interest in the materials research community owing to their remarkable physical and mechanical properties. These improved physicochemical properties manifest due formation of simple solid solution phases with unique microstructures. Though several pathbreaking HEAs been reported, field alloy design, which has potential guide screening, is still an open topic hindering development new HEA compositions, particularly ones hexagonal...
ABSTRACTIn the present study, intelligent addition of Re and Al to TiZrHf equiatomic ternary alloy resulted in a new single-phase Ti30Zr30Hf30Re5Al5 HCP high entropy alloy. The XRD analyses show that TiZrHfRex alloys have structure until x = 5 at.%. Subsequently, TiZrHfRe5 retains its microstructure with upto at.%, leading quinary TiZrHfRe5Al5 HEA. Microstructural investigations using SEM revealed formation compositionally homogeneous solid solution for TiZrHf, alloys. Vicker's...
The paper shows how an Automatic Speech Recognition (ASR) system be efficiently designed for ubiquitous control. design is based on algorithm to extract isolated words from a continuous speech signal. feature extraction of the voiced part signal done byMel Frequency CepstralCoefficients (MFCC) whereas Artificial Neural Network (ANN) used training and pattern. increased rejection unauthorized commands obtained by decisions Euclidean distance, measured between trained tested commands. SNR also...
Designing novel Multicomponent Metallic Glasses (MMGs) based on empirical parameters such as enthalpy of mixing (ΔHmix) and configurational entropy (ΔSmix) is a time-consuming exercise that requires various assumptions, limiting the capability to predict new MMG compositions. The current study involves constructing modified Mendeleev Number (MNP) element scale many important elemental properties impact glass forming phenomena. Machine learning (ML) was used assess competence proposed MNP...
Improper waste management systems are a serious problem faced by almost all countries nowadays. In this paper, we have proposed an IoT-based environmental-friendly methodology for management. the present scenario, there is need to segregate before as well after collection and classify it into biodegradable non-biodegradable categories. This segregated can be further recycled produce bio-compost fertilizers. Smart Trucks based on IoT with sensors will used collect garbage from homes of smart...
High-entropy alloys (HEAs) are metallic materials with solid solutions stabilized by high mixing entropy. Some exhibit excellent strength, often accompanied additional properties such as magnetic, invar, corrosion, or cryogenic response. This has spurred efforts to discover new HEAs, but the vast compositional search space made these challenging. Here we present a framework predict and optimize yield strength of face-centered cubic (FCC) using CoCrFeMnNi-based case study due abundant...
The accurate predictions of glass formation in multicomponent systems remain an open question, despite multiple attempts to decipher a robust alloy design strategy. In this context, the present study examines role important elemental, thermodynamic, structural and kinetic attributes amorphous phase proposes near fool-proof strategy for metallic glasses (MMGs) using machine learning (ML) approach. feature space was optimized engineering incorporating scientific fundamentals as ‘veto’ method....