| Affiliation | Day | Presentation |
|---|
| Shibaura Institute of Technology | W6.302 | Analysis of Breakdown Characteristics in Field-Plate AlGaN/GaN HEMTs: Dependence on Deep-Acceptor Density in Buffer Laye… |
| Shibaura Institute of Technology | W6.303 | Improved Electric Field Decomposition Capacitance Model with 3-D Terminal and Fringe Components in Sub-28nm Interconnect |
| SilcoTek Corporation | T6.127 | Anti-Fouling and Oxidation Resistance of Silicon-Based CVD Coating and Surface Functionalization Technology |
| Siva Therapeutics Inc. | W3.364 | Preclinical Safety and Clearance Profile of Plasmonic Gold Nanorods: Bringing Practical Photothermal Therapy to the Clin… |
| Siva Therapeutics, Inc. | T2.443 | Gold Nanorods: An Ideal Material for Plasmonic Photothermal Cancer Therapy |
| SixPoint Materials, Inc. | T6.304 | NEAT method for high-quality, low-cost gallium nitride wafers |
| SMALL (Sensors and MicroActuators Learning Lab), Department of Electrical Engineering, The State University of New York at Buffalo | W6.362 | Recirculating samples inside chambers using vacuum and centrifugal forces |
| Smart Material Solutions, Inc. | W3.405 | Large-Area Micro and Nanopatterned Drum Molds through Novel Nanocoining Process |
| Smart Material Solutions, Inc. | W6.147 | Large-Area Micro and Nanopatterned Drum Molds through Novel Nanocoining Process |
| SoC Key Laboratory, Peking University Shenzhen Institute and PKU-HKUST Shenzhen-Hong Kong Institution | T6.364 | Surface Potential Based Compact I-V Model for GaN HEMT Devices |
| SoC Key Laboratory, Peking University Shenzhen Institute and PKU-HKUST Shenzhen-Hong Kong Institution | T6.365 | Graphene Based Field Effect Transistor Analog/RF Performance Analysis from Non-equilibrium Green’s Function Simulation |
| SoC Key Laboratory, Peking University Shenzhen Institute and PKU-HKUST Shenzhen-Hong Kong Institution | T6.366 | Numerical Method to Simulate GFET Terahertz Wave Detection |
| Software for Chemistry & Materials BV | W3.343 | Predicting potential energy surfaces with machine learning |
| South Dakota School of Mines and Technology | T6.081 | High Electrical Conductive Carbon Nano Grease based on Hydrogen Bonding |
| South Dakota School of Mines and Technology | T6.082 | High Thermally Conductive Carbon Nano Grease |
| South Dakota School of Mines and Technology | T6.124 | High Electrical and Thermal Conductive Carbon Nano Coatings |
| South Dakota School of Mines and Technology | W3.243 | BTMO Catalyzed Hydrothermal Liquefaction of Lignocellulosic Biomass |
| South Dakota School of Mines and Technology | W3.481 | Cobalt Doped (Mn,Ti)- Oxides for Supercapacitors |
| South Dakota School of Mines and Technology | W6.423 | AMP immobilized low-k dielectrics for on-chip biosensor |
| Southern Research | M2.401 | Introduction to ISO 14034 and its Benefits |
