Research Bits: Mar. 31


2D hard mask material Researchers from Penn State University and University of Chemistry and Technology Prague propose using the 2D material chromium oxychloride (CrOCl) as a hard mask, because its layered structure is resistant to plasma etching and enables it to be an effective mask at smaller thicknesses. “This 2D material is like lasagna. It’s a layer-by-layer structure,” said Zih... » read more

Research Bits: Jan. 12


Wafer-scale two-photon lithography Researchers from Lawrence Livermore National Laboratory (LLNL) and Stanford University demonstrated a two-photon lithography (TPL) platform for wafer-scale manufacturing. The TPL platform uses large arrays of metalenses to split a femtosecond laser into more than 120,000 coordinated focal spots that write simultaneously across centimeter-scale areas. The a... » read more

Research Bits: Dec. 8


Iron-on circuit Researchers from Virginia Tech developed iron-on electronic circuits that can be applied to clothing. The patch uses electrically conductive liquid metal and a heat-activated adhesive to bond to fabric when heated with a hot iron. “E-textiles and wearable electronics can enable diverse applications from health care and environmental monitoring to robotics and human-machine... » read more

Research Bits: Dec. 2


Ionothermoelectric cooling Researchers from the University of Osaka, University of Tokyo, and Japan's National Institute of Advanced Industrial Science and Technology proposed an ionothermoelectric cooling strategy for chips that enhances cooling by driving the flow of ions through nanoscale channels. “We fabricated a nanosized pore in a semiconductor membrane and surrounded the nanopore ... » read more

Chip Industry Week in Review


San Francisco-based Substrate raised more than $100 million to build a vertically integrated foundry that uses particle accelerators to produce "the world's brightest beams, enabling a new method of advanced X-ray lithography." The company claims its technology is comparable to ASML's high NA EUV, and notes it can extend well beyond 2nm. ASML has not publicly commented. The Nexperia chip sho... » read more

Chip Industry Week in Review


Microsoft, OpenAI, and NVIDIA warned about power swings and physical damage to power grids increasing from AI training workloads and jointly proposed a multi-pronged approach to stabilize power in AI training data centers. Meanwhile, Anthropic issued a warning about the weaponization of agentic AI in a new 25-page Threat Intelligence report. Key concerns involve the evolution in AI-assisted ... » read more

Research Bits: May 27


Tracking ferroelectric domain walls Researchers from Oak Ridge National Laboratory and National Cheng Kung University developed a technique called scanning oscillator piezoresponse force microscopy to observe how domain walls move in ferroelectric materials under rapidly fluctuating electric fields. “Domain walls can have completely different properties from the neighboring domains they s... » read more

Chip Industry Week in Review


Check out the Inside Chips podcast for our behind-the-scenes analysis. Newly proposed U.S. legislation called the Chip Security Act would use location verification tracking as a tool to help combat chip smuggling. This follows a report by the Economist that showed Taiwan exports of advanced chips to Malaysia in the first quarter has nearly reached 2024 totals, heightening concerns that China... » read more

Chip Industry Week In Review


Check out our new Inside Chips podcast. President Trump’s ‘Liberation Day’ tariffs were announced this week. The executive order stated that semiconductors and copper imports are not directly subject to the reciprocal tariff, although the exemption may be short-lived. Semiconductor equipment and tools were not mentioned, leaving the industry searching for clarification. Regardless, hig... » read more

Research Bits: Apr. 1


Neuro-synaptic RAM Researchers from the National University of Singapore (NUS) and King Abdullah University of Science and Technology (KAUST) found that a standard silicon transistor can function like a biological neuron and synapse when arranged and operated in a specific way. The team was able to replicate both neural firing and synaptic weight changes by adjusting the resistance of the b... » read more

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