OBJTs (Organic Bipolar Transistors) Based on Crystalline Rubrene Thin Films


New technical paper titled "Organic bipolar transistors" from researchers at Technische Universität Dresden, NanoP, Technische Hochschule Mittelhessen, University of Applied Science, and ALBA Synchrotron. Abstract (Partial) "Here we present organic bipolar transistors with outstanding device performance: a previously undescribed vertical architecture and highly crystalline organic rubrene ... » read more

Novel Family of Semiconductors


New research paper titled "Semiconducting silicon–phosphorus frameworks for caging exotic polycations" from researchers at Department of Chemistry, Iowa State University, and Ames Laboratory, U.S. Department of Energy. Abstract "A series of novel semiconductors AAe6Si12P20X (A = Na, K, Rb, Cs; Ae = Sr, Ba; X = Cl, Br, I) is reported. Their crystal structures feature a tetrahedral Si–P f... » read more

Flexible Microprocessors (FlexiCores)- Natively flexible 4-bit and 8-bit microprocessors optimized for low footprint and yield


New research paper titled "FlexiCores: low footprint, high yield, field reprogrammable flexible microprocessors" from researchers at University of Illinois and PragmatIC Semiconductor. Abstract "Flexible electronics is a promising approach to target applications whose computational needs are not met by traditional silicon-based electronics due to their conformality, thinness, or cost requir... » read more

Graphene Nanoribbon Transistors Using Hydrocarbon Seeds (University of Wisconsin-Madison)


New research paper titled "Graphene nanoribbons initiated from molecularly derived seeds" from researchers at University of Wisconsin-Madison with contributions from Argonne National Laboratory. Abstract "Semiconducting graphene nanoribbons are promising materials for nanoelectronics but are held back by synthesis challenges. Here we report that molecular-scale carbon seeds can be exploi... » read more

More Robust Solid-State Lithium-Ion Batteries


New research paper titled "Xenon Ion Implantation Induced Surface Compressive Stress for Preventing Dendrite Penetration in Solid-State Electrolytes" from University of Surrey. Abstract "Solid-state electrolytes (SSEs) have been thrust into the limelight for the revival of energy-dense lithium metal batteries, but still face the challenge of failure caused by the dendrite penetration. Mou... » read more

Synchrotron S-ray Diffraction-based Non-destructive Nanoscale Mapping of Si/SiGe Nanosheets for GAA structures


New research paper titled "Mapping of the mechanical response in Si/SiGe nanosheet device geometries" from researchers at IBM T.J. Watson Research Center and Brookhaven National Laboratory. Sponsored by U.S. DOE. Abstract "The performance of next-generation, nanoelectronic devices relies on a precise understanding of strain within the constituent materials. However, the increased flexibilit... » read more

ORNL: Advantages of Using Wide Bandgap Semiconductor Materials For Extreme Temp & Radiation


Research paper from ORNL (Oak Ridge National Lab) titled "Wide Bandgap Semiconductors for Extreme Temperature and Radiation Environments." Abstract "With their greater voltage breakdowns, higher current limitations, and faster switching speeds, wide bandgap semiconductors are increasing in market application over the traditionally dominant silicon devices. Silicon carbide semiconductors hav... » read more

AlphaGo Game Influences Argonne’s New AI Tool For Materials Discovery


Research paper titled "Learning in continuous action space for developing high dimensional potential energy models" from researchers at Argonne National Lab with contributions from Oak Ridge National Laboratory. Abstract "Reinforcement learning (RL) approaches that combine a tree search with deep learning have found remarkable success in searching exorbitantly large, albeit discrete action ... » read more

Cu/SiO₂ Hybrid Bond Interconnects


Technical paper titled "Microstructure Development of Cu/SiO₂ Hybrid Bond Interconnects After Reliability Tests" from researchers at TU Dresden and others. Abstract: "The focus of this study is a detailed characterization of hybrid Cu/SiO 2 wafer-to-wafer bonding interconnects after reliability testing. Hybrid bonding (or direct bond interconnect) is a technology of choice for fine pitch... » read more

Deep Learning Applications For Material Sciences: Methods, Recent Developments


New technical paper titled "Recent advances and applications of deep learning methods in materials science" from researchers at NIST, UCSD, Lawrence Berkeley National Laboratory, Carnegie Mellon University, Northwestern University, and Columbia University. Abstract "Deep learning (DL) is one of the fastest-growing topics in materials data science, with rapidly emerging applications spanning... » read more

← Older posts Newer posts →