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Abundant catalyst converts methane into valuable liquid chemicals

Scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory and their collaborators have demonstrated a promising new approach for converting methane—the primary component of natural gas—into liquid chemicals that are precursors for many industrial chemicals and fuels. The research, described in a paper just published in Advanced Functional Materials, shows how molybdenum disulfide (MoS2), an earth-abundant industrial catalyst, can be used with minimal tweaking to selectively convert methane into methyl peroxide and other liquid oxygenate compounds at temperatures below 100°C (212°F). Methyl peroxide is a precursor for making methanol, an energy-dense liquid fuel that can be transported easily.

“The fact that this catalyst is an earth-abundant, domestically sourced material could change the game for converting natural gas into liquid chemicals,” said Brookhaven Lab chemist Sanjaya Senanayake, a corresponding author on the publication. “The catalyst achieves very high yields and high specificity for making important precursors for methanol and a wide range of other industrial processes.”

The project is part of a long-term strategy of the Catalysis: Reactivity and Structure group in Brookhaven Lab’s Chemistry Division to develop methane-conversion catalysts and processes. This group includes co-authors Senanayake, chemist Juan Jiménez and research associate Arephin Islam—all co-authors on the new publication.

Phantom Squatting Uses AI-Hallucinated Domains for Phishing and Malware

Phantom squatting is the domain version of slopsquatting, where attackers register the fake software package names that AI coding tools invent. That is not a hypothetical.

A large USENIX study found code-generating models routinely suggest package names that do not exist, and the PhantomRaven campaign turned exactly that behavior into malware hidden in 126 npm packages with more than 86,000 installs.

It points to a larger shift: model output is becoming input. Developers, agents, and security teams act on AI-generated links and names before anyone verifies them, and AI keeps shrinking the time defenders have to react.

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