Prosjekter
Flere publikasjoner
- Kinetic analysis of non-isothermal hydrogen reduction of manganese ores: experimental investigation and combined chemical reaction-diffusion modeling
- Quantitative study on the local structure and macroscopic property correlations in binary lithium germanate melts
- Quantitative local structural analysis and viscosity modeling of binary sodium germanate melts by in-situ Raman spectroscopy and theoretical simulations
- Structural evolution of Ca12Al14O33 melt and glass revealed by high-temperature Raman spectroscopy and molecular dynamics simulations
- Structural Evolution and Coordination Behavior of Ta5+ in Binary Li2O‑Ta2O5 Melts: In Situ High-Temperature Raman and High-Energy X‑ray Diffraction Studies
- Inclusions in Ultra-low Carbon Ferromanganese Obtained via Aluminothermic Reduction of Different Pre-reduced Mn Ores Les publikasjonen
- Quantitative study on the local structure and macroscopic property correlations in binary CaO-Al2O3 melts
- Decoding viscosity-microstructure relationships in the ternary CaO-SiO2-FexO system via integrated machine learning and multimodal characterization
- Raman spectroscopic quantitative study of the melt microstructure in binary Li2O‑GeO2 functional crystals
- The enthalpy changes for hydrogenation/dehydrogenation of Mg-based alloys Les publikasjonen
Annen formidling
- EoL PV Silicon: Metallurgical Viability for Closed Loop Feedstock
- End-of-Life PV Silicon: Metallurgical Viability for Closed‑Loop Feedstock
- Removal of Zn and other volatile elements from molten Al by vacuum refining
- Solar PV silicon recycling via chemical and vacuum refining techniques
- Graph based anomaly prediction for mineral processing process
- Evaluation of Thermal Conductivities of Molten SiO2-Al2O3-CaO Slags
- Enhancing Ferroalloy Processing through Machine Learning: Bridging Theory and Practice
- Recycling SiliconWaste from the Photovoltaic Industry to Prepare Yolk–Shell Si@void@C Anode Materials for Lithium–Ion Batteries
- Recovering and Hot Deformation Processing of Recycled Spray Formed 7055 Aluminum Alloy Powders
- Representation of the Multiphysical Properties of SiO2-Al2O3-CaO Slags by Deep Neural Networks